Complexity quotes

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Christopher_Wolfgang_Alexander

Complexity

“Today more and more design problems are reaching insoluble levels of complexity... In spite of their superficial simplicity, even these problems have a background of needs and activities which is becoming too complex to grasp intuitively.”
Keywords: Complexity_quotes Design_quotes Intuition_quotes Today_quotes Problem_quotes Reach_quotes Insoluble_quotes Level_quotes Superficial_quotes Simplicity_quotes Background_quotes Need_quotes Activity_quotes Become_quotes Grasp_quotes

Rapid Change

“At the same time that problems increase in quantity, complexity, and difficulty, they also change faster than before.”
Keywords: Problem_quotes Size_quotes Complexity_quotes Fast_quotes Time_quotes Quantity_quotes Increase_quotes Difficulty_quotes Change_quotes

Problems Worth Attention

“We cannot have a unitary of field description of a context and still have a design problem worth attention.”
Keywords: Design_quotes Complexity_quotes Unitary_quotes Field_quotes Description_quotes Context_quotes Problem_quotes Attention_quotes

Jim_Baggott

The Theory Principle

“The Theory Principle. Although physical theories are constructed to describe empirical facts about reality, they are nevertheless founded on abstract mathematical (we could even say metaphysical) concepts. The process of abstraction from facts to theories is highly complex, intuitive and not subject to simple, universal rules applicable to all science for all time. In the act of scientific creation, any approach is in principle valid provided it yields a theory that works.”
  • Source: Baggott, Jim. Farewell to Reality: How Modern Physics Has Betrayed the Search for Scientific Truth (p. 17). Pegasus Books. New York, NY.
Keywords: Fact_quotes Principle_quotes Empirical_quotes Reality_quotes Complexity_quotes Science_quotes Intuition_quotes Validity_quotes Theory_quotes Abstraction_quotes Rule_quotes Creativity_quotes

Robert_N_Britcher

Human Element

“The real scoop on programming and software is the human element. I didn't know Alan Turing or John von Neuman or the other inventors, but I've known plenty of programmers. We are just like everyone, part this, part that. Except we have to deal with enormous complexity, which springs upon us only after we are too far into what started out to be kind of fun - coding an algorithm and watching it run on a machine. Then it's too late and it all becomes work, very stressful work.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 28.
Keywords: Programming_quotes Software_quotes Humanity_quotes Programmer_quotes Complexity_quotes Algorithm_quotes Machine_quotes Work_quotes Stress_quotes Real_quotes Scoop_quotes Element_quotes Human_quotes Turing(topic)_quotes Neuman(topic)_quotes Inventor_quotes Plenty_quotes Part_quotes Deal_quotes Enormous_quotes Spring_quotes Far_quotes Start_quotes Fun_quotes Coding_quotes Watch_quotes Run_quotes Late_quotes

Complexity of Practice

“The complexity of practice has always dwarfed the simplicity of theory.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 111.
Keywords: Complexity_quotes Practice_quotes Process_quotes Simplicity_quotes Theory_quotes Dwarf_quotes

Complexity of Loops

“... within a procedure, fascinating problems exist - for example, verifying the correctness of a loop, one of the most complex structures in logic.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 112.
Keywords: Complexity_quotes Procedure_quotes Problem_quotes Verification_quotes Correctness_quotes Loop_quotes Logic_quotes Structure_quotes Fascinating_quotes Exist_quotes Complex_quotes

Fred_Brooks

Software Complexity

“Einstein repeatedly argued that there must be simplified explanations of nature, because God is not capricious or arbitrary. No such faith comforts the software engineer. Much of the complexity he must master is arbitrary complexity, forced without rhyme or reason by the many human institutions and systems to which his interfaces must conform. These differ from interface to interface, and from time to time, not because of necessity but only because they were designed by different people, rather than by God.”
  • Source: Brooks Jr., F. P. (1995). The Mythical Man-Month - Essays on Software Engineering (Anniversary Edition) | 1975/1995 (Anniv.). Boston. MA: Addison-Wesley. ISBN: 0201835959. Chapter 16, page 184.
Keywords: Complexity_quotes Software_quotes Nature_quotes Deity_quotes Faith_quotes System_quotes Interface_quotes Human_Limitations_quotes Design_quotes Software_Design_quotes Einstein(topic)_quotes Repeat_quotes Argue_quotes Simplify_quotes Explanation_quotes God_quotes Capricious_quotes Arbitrary_quotes Force_quotes Rhyme_quotes Reason_quotes Human_quotes Limit_quotes Institution_quotes Conform_quotes Different_quotes Time_quotes Necessary_quotes People_quotes

Team Design

“Team design is increasingly the norm for complex artifacts. Teams are often geographically dispersed. Designers are increasingly divorced from both use and implementation — typically they no longer can build with their own hands the things they design. All kinds of designs are now captured in computer models instead of drawings. Formal design processes are increasingly taught, and they are often mandated by employers.”
  • Source: Brooks Jr., F. P. (2010). The Design of Design. Upper Saddle River, NJ: Addison-Wesley. ISBN: 978-0-201-36298-5. Preface.
Keywords: Design_quotes Team_quotes Complexity_quotes Distance_quotes Deskill_quotes Model_quotes Formality_quotes Mandate_quotes Increase_quotes Norm_quotes Artifact_quotes Geographic_quotes Disperse_quotes Designer_quotes Divorce_quotes Use_quotes Implementation_quotes Typical_quotes Build_quotes Hand_quotes Capture_quotes Computer_quotes Drawing_quotes Process_quotes Teach_quotes Employer_quotes

C_West_Churchman

Society Complex

“It is sheer nonsense to expect that any human being has yet been able to attain such insight into the problems of society that he can really identify the central problems and determine how they should be solved. The systems in which we live are far too complicated as yet for our intellectual powers and technology to understand.”
  • Source: C. West Churchman in the book The Systems Approach (1968), p. x.
Keywords: System_quotes Humanity_quotes Nonsense_quotes Expectation_quotes Understanding_quotes Insight_quotes Problem_quotes Society_quotes Solution_quotes Complexity_quotes Intellectualism_quotes Technology_quotes

Mihaly_Csikszentmihalyi

Daydreaming

“One of the simplest ways to use the mind is daydreaming: playing out some sequence of events as mental images. But even this apparently easy way to order thought is beyond the range of many people... Daydreaming not only helps create emotional order by compensating in imagination for unpleasant reality — as when a person can reduce frustration and aggression against someone who has caused injury by visualizing a situation in which the aggressor is punished — but it also allows children and adults to rehearse imaginary situations so that the best strategy for confronting them may be adopted, alternative options considered, unanticipated consequences discovered — all results that help increase the complexity of consciousness. And, of course, when used with skill, daydreaming can be very enjoyable.”
  • Source: Mihaly Csikszentmihalyi in the book “Flow: The Psychology of Optimal Experience“, chapter “The Flow of Thought”, page 120. Original content published by Harper Perennial Modern Classics in 1990. Kindle edition published by Harper Collins in 2008. ISBN: 978-0061876721.
Keywords: Simple_quotes Way_quotes Mind_quotes Daydreaming_quotes Play_quotes Event_quotes Mental_quotes Image_quotes Order_quotes Thought_quotes Beyond_quotes Range_quotes People_quotes Help_quotes Emotion_quotes Compensate_quotes Imagination_quotes Unpleasant_quotes Reality_quotes Reduce_quotes Person_quotes Frustration_quotes Aggression_quotes Cause_quotes Injury_quotes Visualize_quotes Situation_quotes Punish_quotes Allow_quotes Reherse_quotes Best_quotes Strategy_quotes Optimization_quotes Confront_quotes Adopt_quotes Alternative_quotes Unanticipated_quotes Consequence_quotes Discover_quotes Result_quotes Increase_quotes Complexity_quotes Consciousness_quotes Use_quotes Skill_quotes Enjoyable_quotes

Tom_DeMarco and Tim_Lister

The Light Is Better There

“The main reason we tend to focus on the technical rather than the human side of the work is not because it’s more crucial, but because it’s easier to do. Getting the new disk drive installed is positively trivial compared to figuring out why Horace is in a blue funk or why Susan is dissatisfied with the company after only a few months. Human interactions are complicated and never very crisp and clean in their effects, but they matter more than any other aspect of the work. If you find yourself concentrating on the technology rather than the sociology, you’re like the vaudeville character who loses his keys on a dark street and looks for them on the adjacent street because, as he explains, ‘The light is better there.’”
  • Source: Book: Entitled: Peopleware: Productive Projects and Teams. Edition: 3rd. Written by: Tom DeMarco; Tim Lister. Date published: 1987; 1999; 2013. Publisher: Addison-Wesley. Country: USA; GBR; CAN; DEU; FRA; ESP; ZAF; AUS; JPN; SGP; MEX. Language: en. ISBN: ISBN-13: 978-0-321-93411-6 (alk paper); 0-321-93411-3 (alk paper). Chapter: 1 (Somewhere Today, a Project Is Failing).
Keywords: Reason_quotes Focus_quotes Humanity_quotes Work_quotes Critical_quotes Easy_quotes Sociology_quotes Technology_quotes Street_quotes Key_quotes Dark_quotes Light_quotes Priority_quotes Trivial_quotes Funk_quotes Dissatisfied_quotes Company_quotes Complexity_quotes Aspect_quotes Concentrate_quotes Vaudeville_quotes Character_quotes Better_quotes

Kicking Ass

"Management is a complex enough thing to defy simple definition, but that nuance was lost on one senior manager we encountered at a professional society meeting in London. He summed up his entire view of the subject with this statement: 'Management is kicking ass.' This equates to the view that managers provide all the thinking and the people underneath them just carry out their bidding. Again, that might be workable for cheeseburger production, but not for any effort for which people do the work with their heads rather than their hands. Everyone in such an environment has got to have the brain in gear. You may be able to kick people to make them active, but not to make them creative, inventive, and thoughtful. Even if kicking people in the backside did boost their short-term productivity, it might not be useful in the long run. There is nothing more discouraging to any worker than the sense that his own motivation is inadequate and has to be 'supplemented' by that of the boss. The saddest thing about this management approach is that it’s almost always superfluous. You seldom need to take Draconian measures to keep your people working; most of them love their work. You may even have to take steps sometimes to make them work less, and thus get more meaningful work done."
  • Source: Book: Entitled: Peopleware: Productive Projects and Teams. Edition: 3rd. Written by: Tom DeMarco; Tim Lister. Date published: 1987; 1999; 2013. Publisher: Addison-Wesley. Country: USA; GBR; CAN; DEU; FRA; ESP; ZAF; AUS; JPN; SGP; MEX. Language: en. ISBN: ISBN-13: 978-0-321-93411-6 (alk paper); 0-321-93411-3 (alk paper). Chapter: 2 (Make a Cheeseburger, Sell a Cheeseburger).
Keywords: Management_quotes Complexity_quotes Manager_quotes Nuance_quotes Kicking_quotes Thinking_quotes Worker_quotes Cheeseburger_quotes Production_quotes Environment_quotes Brain_quotes Activity_quotes Creativity_quotes Invention_quotes Productivity_quotes Short_Term_quotes Long_Run_quotes Discouragement_quotes Motivation_quotes Inadequate_quotes Superfluous_quotes Draconian_quotes Work_quotes Meaning_quotes

Edsger_Wybe_Dijkstra

Art of Programming

“The art of programming is the art of organizing complexity, of mastering multitude and avoiding its bastard chaos as effectively as possible.”
Keywords: Art_quotes Programming_quotes Complexity_quotes Multitude_quotes Chaos_quotes Effectiveness_quotes Possibility_quotes Organization_quotes Master_quotes Avoid_quotes Bastard_quotes

Simplicity

“Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better.”
Keywords: Simplicity_quotes Virtue_quotes Work_quotes Education_quotes Appreciation_quotes Complexity_quotes Sell_quotes

Dijkstra Algorithm

“What is the shortest way to travel from Rotterdam to Groningen, in general: from given city to given city. It is the algorithm for the shortest path, which I designed in about twenty minutes. One morning I was shopping in Amsterdam with my young fiancée, and tired, we sat down on the café terrace to drink a cup of coffee and I was just thinking about whether I could do this, and I then designed the algorithm for the shortest path. As I said, it was a twenty-minute invention. In fact, it was published in ’59, three years late. The publication is still readable, it is, in fact, quite nice. One of the reasons that it is so nice was that I designed it without pencil and paper. I learned later that one of the advantages of designing without pencil and paper is that you are almost forced to avoid all avoidable complexities. Eventually that algorithm became, to my great amazement, one of the cornerstones of my fame.”
  • Source: Dijkstra (2001), in an interview with Philip L. Frana. (OH 330; Communications of the ACM 53(8):41–47)
Keywords: Short_quotes Travel_quotes City_quotes Path_quotes Coffee_quotes Thinking_quotes Algorithm_quotes Invention_quotes Innovation_quotes Publication_quotes Pencil_quotes Paper_quotes Complexity_quotes Fame_quotes Design_quotes Advantage_quotes Amazement_quotes Cornerstone_quotes

Peter_Drucker

Drucker's Law

“Engineers speak half–jokingly about Murphy's Law: 'If anything can go wrong, it will.' But complexity stands under a second law as well. Let me call it Drucker's law: 'If one thing goes wrong, everything else will, and at the same time.'”
  • Source: Peter F. Drucker, Management: Tasks, Responsibilities, Practices, New York: Harper & Row, 1973. p. 681.
Keywords: Engineering_quotes Speak_quotes Half_quotes Joke_quotes Murphy_quotes Law_quotes Anything_quotes Wrong_quotes Will_quotes Complexity_quotes Stand_quotes Second_quotes Call_quotes Drucker_quotes One_quotes Everything_quotes Same_quotes Time_quotes Murphy(topic)_quotes

A Better Tool

“A tool is not necessarily better because it is bigger. A tool is best if it does the job required with a minimum of effort, with a minimum of complexity, and with a minimum of power.”
  • Source: Peter F. Drucker, “Management: Tasks, Responsibilities, Practices”, New York: Harper & Row, 1973. p. 224.
Keywords: Tool_quotes Necessary_quotes Better_quotes Big_quotes Best_quotes Do_quotes Job_quotes Requirements_quotes Minimum_quotes Complexity_quotes Power_quotes Effort_quotes

Alexander_G_Fraser

Program Construction Sum

“One thing seems to be clear just now. It is that program construction is not always a simple progression in which each act of assembly represents a distinct forward step and that the final product can be described simply as the sum of many sub-assemblies.”
Keywords: Clarity_quotes Program_quotes Programming_quotes Construction_quotes Simplicity_quotes Progress_quotes Assembly_quotes Step_quotes Product_quotes Complexity_quotes Sum_quotes Component_quotes Act_quotes Distinct_quotes Forward_quotes Final_quotes Describe_quotes

Gordon_Glegg

Engineers and Designers Are Human

“Throughout this book we have talked about 'designers' and 'engineers' and sought, by analysing their work, to find general and helpful maxims. But there is a danger in doing this, for we may forget that a 'designer' or 'engineer' is first and foremost a human being. A human being who designs or engineers has, in addition, a wide range of complicated and interacting emotions. It is easy to become emotionally involved in a new invention and so resent criticism of it even when that criticism, if heeded, would turn a failure into a success. Confidence may be blinded by conceit or undermined by an inferiority complex. History has shown that many new inventions were not inventions at all; they were re-inventions. The idea was not new but the determination to press through with it was. Character is the foundation of ability. Develop as large a safety margin as you can against such things as laziness, impatience, prejudice and arrogance and all the other human failings that inhibit constructive achievement in all spheres, especially that of creative engineering design.”
  • Source: Glegg, G. L. (1969). The Design of Design. Cambridge, UK: Cambridge University Press. ISBN: 978-0-511-79996-9. Chapter 6, page 92.
Keywords: Design_quotes Engineering_quotes Work_quotes Maxim_quotes Danger_quotes Forget_quotes Humanity_quotes Complexity_quotes Emotion_quotes Invention_quotes Criticism_quotes Resentment_quotes Failure_quotes Success_quotes Confidence_quotes Conceit_quotes Inferior_quotes History_quotes Idea_quotes Determination_quotes Character_quotes Ability_quotes Safe_quotes Lazy_quotes Impatience_quotes Prejudice_quotes Arrogance_quotes Achievement_quotes Sphere_quotes Creativity_quotes Analyze_quotes Human_quotes Interacting_quotes Heed_quotes Blind_quotes Reinvention_quotes Inhibit_quotes Constructive_quotes

Yuval_Noah_Harari

Naive Information

“The naive view is this counter-speech doctrine that we just need more information, and if you have a lot of information the truth will just come up, will float up. In a free market of information, the truth will win. It won't. You need to tilt the balance in favor of truth. Because, as I said before, it's costly, it's rare, and more to the point, the truth is complicated and often painful.”
  • Source: Yuval Noah Harari speaking in a YouTube interview with MSNBC television news anchor Ari Melber discussion his book “Nexus”. Published 2024-09-12 on YouTube entitled “MAGA propaganda decoded: Obama’s fave historian shreds Trump tricks with groundbreaking scholarship”, channel “MSNBC”, at 24:25. Online at <https://youtu.be/toF5PIClNZ4?si=5ogXQFnsVW1yhv2R>, retrieved 2024.
Keywords: Naive_quotes View_quotes Speech_quotes Doctrine_quotes Information_quotes Truth_quotes Float_quotes Up_quotes Free_quotes Market_quotes Win_quotes Tilt_quotes Balance_quotes Favor_quotes Cost_quotes Rare_quotes Complexity_quotes Pain_quotes

Tony_Hoare

Software Design

“…there are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult.”
  • Source: Hoare, C. A. R. (1981). The 1980 ACM Turing Award Lecture: The Emperor’s Old Clothes. Communications of the ACM, 24(2), 75–83.
Keywords: Construction_quotes Software_quotes Design_quotes Simplicity_quotes Defect_quotes Complexity_quotes Difficulty_quotes Obvious_quotes Method_quotes

Douglas_Hofstadter

Limits of Deduction

“In many real-life situations, deductive reasoning is inappropriate, not because it would give wrong answers, but because there are too many correct but irrelevant statements which can be made, there are just too many things to take into account simultaneously for reasoning alone to be sufficient.”
  • Source: Hofstadter, Douglas R. (1979). Gödel, Escher, Bach: an Eternal Golden Braid. Written by Douglas R. Hofstadter. Basic Books, New York, NY. ISBN 13: 978-046502656-2. ISBN 10: 046502656-7. Chapter 17. Page 560.
Keywords: Real_quotes Life_quotes Deduction_quotes Reason_quotes Inappropriate_quotes Wrong_quotes Answer_quotes Correct_quotes Irrelevant_quotes Statement_quotes Account_quotes Simultaneous_quotes Sufficient_quotes Complexity_quotes Situation_quotes

Grace_Hopper

Simple Systems

“Life was simple before World War II. After that, we had systems.”
  • Source: Grace Hopper as quoted in "The Wit and Wisdom of Grace Hopper" by Philip Schieber in OCLC Newsletter, No. 167 (March/April 1987).
Keywords: System_quotes Complexity_quotes Simplicity_quotes Life_quotes World_quotes War_quotes

Byron_K_Jennings

Science is the Art

“Science is the art of the appropriate approximation. While the flat earth model is usually spoken of with derision it is still widely used. Flat maps, either in atlases or road maps, use the flat earth model as an approximation to the more complicated shape.”
  • Source: Byron K. Jennings, In 'On the Nature of Science', Physics in Canada (Jan/Feb 2007), 63, No. 1, 13.
Keywords: Science_quotes Art_quotes Appropriate_quotes Approximation_quotes Flat_quotes Earth_quotes Criticism_quotes Map_quotes Complexity_quotes Shape_quotes Model_quotes Derision_quotes Use_quotes Road_quotes

Bernardo_Kastrup

Global Alignment

“It is impossible for physicists to identify global alignments... For although physicists can test individual events in the laboratory and verify that, when taken in isolation, the events are random, they wouldn’t be able to discern a global pattern within the complexity of the physical world at large; there are just too many ‘dice’ to keep track of under controlled laboratory conditions.”
  • Source: From “Decoding Jung's Metaphysics: The Archetypal Semantics of an Experiential Universe”. Written by Bernardo Kastrup. Published by IFF Books, Washington DC. Kindle Edition. Page 52. Chapter 4.
Keywords: Impossible_quotes Physicist_quotes Identify_quotes Global_quotes Alignment_quotes Test_quotes Individual_quotes Event_quotes Laboratory_quotes Verify_quotes Take_quotes Isolation_quotes Event_quotes Random_quotes Discern_quotes Pattern_quotes Complexity_quotes Physical_quotes World_quotes Large_quotes Many_quotes Dice_quotes Track_quotes Control_quotes Condition_quotes

Alexander_Kossiakoff et al.

Systems Engineering Function

“The function of systems engineering is to guide the engineering of complex systems.”
  • Source: Kossiakoff, Alexander; Sweet, William N.; Seymour, Samuel J.; Biemer, Steven M.. Systems Engineering Principles and Practice. Wiley. 2011. Kindle Edition. Section 1.1. Page 3.
Keywords: Function_quotes System_quotes Engineering_quotes Complexity_quotes Guidance_quotes

Pierre-Simon_Laplace

System of Nature

“The present state of the system of nature is evidently a consequence of what it was in the preceding moment, and if we conceive of an intelligence that at a given instant comprehends all the relations of the entities of this universe, it could state the respective position, motions, and general affects of all these entities at any time in the past or future. Physical astronomy, the branch of knowledge that does the greatest honor to the human mind, gives us an idea, albeit imperfect, of what such an intelligence would be. The simplicity of the law by which the celestial bodies move, and the relations of their masses and distances, permit analysis to follow their motions up to a certain point; and in order to determine the state of the system of these great bodies in past or future centuries, it suffices for the mathematician that their position and their velocity be given by observation for any moment in time. Man owes that advantage to the power of the instrument he employs, and to the small number of relations that it embraces in its calculations. But ignorance of the different causes involved in the production of events, as well as their complexity, taken together with the imperfection of analysis, prevents our reaching the same certainty about the vast majority of phenomena. Thus there are things that are uncertain for us, things more or less probable, and we seek to compensate for the impossibility of knowing them by determining their different degrees of likelihood. So it was that we owe to the weakness of the human mind one of the most delicate and ingenious of mathematical theories, the science of chance or probability.”
  • Source: Pierre-Simon Laplace, 'Recherches, 1º, sur l'Intégration des Équations Différentielles aux Différences Finies, et sur leur Usage dans la Théorie des Hasards' (1773, published 1776). In Oeuvres complètes de Laplace, 14 Vols. (1843-1912), Vol. 8, 144-5, trans. Charles Coulston Gillispie, Pierre-Simon Laplace 1749-1827: A Life in Exact Science (1997), 26.
Keywords: State_quotes Present_quotes System_quotes Nature_quotes Consequence_quotes Moment_quotes Precede_quotes Conceive_quotes Intelligence_quotes Instant_quotes Comprehension_quotes Relationship_quotes Universe_quotes Position_quotes Motion_quotes Causality_quotes Time_quotes Past_quotes Future_quotes Astronomy_quotes Knowledge_quotes Humanity_quotes Mind_quotes Idea_quotes Imperfect_quotes Law_quotes Celestial_quotes Body_quotes Mass_quotes Distance_quotes Analysis_quotes Determine_quotes Century_quotes Mathematics_quotes Velocity_quotes Observation_quotes Advantage_quotes Power_quotes Instrument_quotes Calculation_quotes Ignorance_quotes Cause_quotes Production_quotes Event_quotes Complexity_quotes Certainty_quotes Majority_quotes Phenomena_quotes Probability_quotes Impossibility_quotes Likelihood_quotes Weakness_quotes Theory_quotes Chance_quotes

John_von_Neumann

Gradual Development of Theory

“What is important is the gradual development of a theory, based on a careful analysis of the ... facts. ... Its first applications are necessarily to elementary problems where the result has never been in doubt and no theory is actually required. At this early stage the application serves to corroborate the theory. The next stage develops when the theory is applied to somewhat more complicated situations in which it may already lead to a certain extent beyond the obvious and familiar. Here theory and application corroborate each other mutually. Beyond lies the field of real success: genuine prediction by theory. It is well known that all mathematized sciences have gone through these successive stages of evolution.”
  • Source: John von Neumann, 'Formulation of the Economic Problem' in Theory of Games and Economic Behavior (1964), 8. Reprinted in John Von Neumann, F. Bródy (ed.) and Tibor Vámos (ed.), The Neumann Compendium (2000), 416.
Keywords: Importance_quotes Gradual_quotes Development_quotes Theory_quotes Careful_quotes Analysis_quotes Fact_quotes Application_quotes Elementary_quotes Problem_quotes Result_quotes Doubt_quotes Requirements_quotes Early_quotes Stage_quotes Service_quotes Corroborate_quotes Complexity_quotes Situation_quotes Lead_quotes Obvious_quotes Familiar_quotes Mutual_quotes Success_quotes Genuine_quotes Prediction_quotes Mathematics_quotes Science_quotes Evolution_quotes Beyond_quotes

Alan_Perlis

Complex Information in the Mind

“One can only display complex information in the mind. Like seeing, movement or flow or alteration of view is more important than the static picture, no matter how lovely.”
Keywords: Complexity_quotes Display_quotes Information_quotes Mind_quotes Movement_quotes Flow_quotes Alteration_quotes View_quotes Importance_quotes Static_quotes Picture_quotes Beauty_quotes Lovely_quotes See_quotes

Simplicity Follows Complexity

“Simplicity does not precede complexity, but follows it.”
Keywords: Simplicity_quotes Complexity_quotes Follow_quotes Precede_quotes

Complexity

“Fools ignore complexity. Pragmatists suffer it. Some can avoid it. Geniuses remove it.”
Keywords: Complexity_quotes Fool_quotes Ignore_quotes Pragmatic_quotes Suffering_quotes Avoidance_quotes Genius_quotes Remove_quotes

Complexity Communication

“You can't communicate complexity, only an awareness of it.”
Keywords: Communication_quotes Complexity_quotes Awareness_quotes

Simplicity Gets in the Way

“In seeking the unattainable, simplicity only gets in the way. If there are epigrams, there must be meta-epigrams.”
Keywords: Seek_quotes Unattainable_quotes Impossibility_quotes Simplicity_quotes Complexity_quotes Epigram_quotes Meta_quotes Way_quotes

Steven_Pinker

Neurons to Consciousness

“None of us has a brain that can actually put us in touch with reality unaided with truth. I've just shown you a bunch of gadgetry that responds to things that are essential to our survival, things that prevent us from falling off cliffs and bumping into trees. But they don't actually correspond to any clear description of the world as it is. So we have, for example, circuitry that responds to the edges rather than the physical distribution of light, because edges are important, that's where objects leave off and their backgrounds begin. Moreover, they can be fooled, as I did with each one of you. That since our neural circuitry does consist of a mechanism, not a pipeline to the truth or a window onto objective reality. That is naïve realism we know is false because there are illusions. You can't just trust your senses. That means we need some way of augmenting the faculties that nature gave us to make our beliefs as accurate as possible. Which of course is why the early modern philosophers made such a big deal of visual illusions. They said you can't just open your eyes and see the world as it is. Look at all these illusions. So what we do, what gives some of us confidence that our beliefs are objectively true is that they are part of an institutional infrastructure of testing and criticism and logic and determining which hypotheses withstand criticism and attempts at refutation. Devising exotic arrangements of reality to reflect the way reality is put together, namely experiments. Thanks to this huge network of minds, each one of them making up for deficits of all the others, we like to think that we have a collective grasp on truth that none of us individually can have. But of course, it's always fallible. The religious beliefs I think were actually pretty reasonable hypotheses in earlier states of our collective knowledge. Even Richard Dawkins said that before Darwin he probably would have been a creationist because the cosmic engineer was the only available explanation for the obvious adaptive complexity of living things. I would add that prior to the advent of modern neuroscience I probably would have believed in souls because there was no better explanation for phenomena such as that people respond intelligently to their environments. When you dream some part of you is up and about the world while your body is in bed the whole time. That seems like there must be some part of you that can leave your body. When a person suddenly dies some kind of animating force no longer seems to be animating the body that was there just a few minutes ago. So the soul hypothesis is not a stupid or irrational belief, nor is creationism if it's the best that you have. Now, of course, we can do better. But doing better in part depends not just on this cumulative weight of evidence and argument. But because few of us can actually reconstruct the scientific observations that justify the theory of natural selection or the theory of neural networks, all of us, at least a little bit, take it on faith in the following sense; that there is a community that you trust enough because when they have been challenged to defend their beliefs they can connect them to reality. They have shown that it isn't magic. That they have given reason to trust them because they've convinced you that they're the mores of their culture, of their scientific culture, designed so that they will find true things and weed out false things. If you don't have a degree of solidarity or trust, if you think that scientists are all in cahoots with big corporations or are trying to tear down all faith and values and meaning and you simply refuse to follow through the very long chain of deduction that connects the claims to the experiments, then you'll naturally reject it just because it's not your tribe. For you and me scientists are our tribe and we're apt to give them some credibility, indeed some credulousness, knowing that if ever challenged it would be repaid. But unless you trace that through it can be all too easy to reject the conclusions of science, and indeed a number of studies have shown that contrary to the common belief that people believe in falsehoods, such as that vaccines cause autism or that humans were created five thousand years ago or that the burning of fossil fuels has no effect on global temperatures, it turns out that people with those beliefs that we have every reason to believe are false are no more scientifically naïve on average than people that have beliefs that are scientifically justified. You give a test on evolution to a bunch of people who believe in evolution, give it to a bunch of creationists, there's not much difference in how well they score. In fact, often they are equal. Likewise, the typical grasp of climate science among someone who signs on to the scientific consensus is not much better than the adamant deniers. That kind of dashes the hope that simply by increasing the quality of science education you will lead people to more accurate beliefs. There, in addition, has to be a dissociation of who you think are the good guys and who are the bad guys from who has the best claims to truth. That's what it depends on.”
Keywords: Accuracy_quotes Adament_quotes Adaptability_quotes Addition_quotes Advent_quotes Aid_quotes Animate_quotes Argue_quotes Arrangement_quotes Attempt_quotes Augment_quotes Autism_quotes Availability_quotes Background_quotes Bad_quotes Bed_quotes Belief_quotes Best_quotes Big_quotes Body_quotes Brain_quotes Bump_quotes Bunch_quotes Burn_quotes Cahoot_quotes Chain_quotes Challenge_quotes Circuit_quotes Claim_quotes Clear_quotes Cliff_quotes Climate_quotes Collective_quotes Complexity_quotes Common_quotes Community_quotes Conclusion_quotes Confidence_quotes Connection_quotes Consensus_quotes Consist_quotes Contrary_quotes Convince_quotes Cooperation_quotes Corporation_quotes Correspondence_quotes Cosmic_quotes Creationism_quotes Credibility_quotes Criticism_quotes Culture_quotes Cumulative_quotes Dash_quotes Deal_quotes Death_quotes Deception_quotes Deduction_quotes Defence_quotes Deficit_quotes Degree_quotes Deny_quotes Dependence_quotes Description_quotes Design_quotes Determine_quotes Devise_quotes Differences_quotes Dissociation_quotes Distribution_quotes Dreaming_quotes Early_quotes Easy_quotes Edge_quotes Education_quotes Effect_quotes Engineer_quotes Environment_quotes Essential_quotes Evidence_quotes Evolution_quotes Exotic_quotes Experiment_quotes Explanation_quotes Eye_quotes Faculty_quotes Faith_quotes Fall_quotes Fallible_quotes False_quotes Few_quotes Find_quotes Follow_quotes Fool_quotes Force_quotes Fossil_quotes Fuel_quotes Gadget_quotes Global_quotes Good_quotes Grasp_quotes Guy_quotes Huge_quotes Hypothesis_quotes Illusion_quotes Importance_quotes Increasing_quotes Individual_quotes Infrastructure_quotes Institution_quotes Intelligence_quotes Irrational_quotes Justification_quotes Knowledge_quotes Leave_quotes Life_quotes Light_quotes Logic_quotes Long_quotes Magic_quotes Meaning_quotes Mechanism_quotes Mind_quotes Modern_quotes Moral_quotes Naïve_quotes Nature_quotes Natural_Selection_quotes Network_quotes Neural_quotes Neuroscience_quotes Object_quotes Objectivity_quotes Observation_quotes Obvious_quotes Part_quotes People_quotes Perception_quotes Phenomena_quotes Philosophy_quotes Physical_quotes Pipeline_quotes Possibility_quotes Prehistoric_quotes Prevent_quotes Reality_quotes Reason_quotes Reconstruct_quotes Reflection_quotes Refuse_quotes Refutation_quotes Rejection_quotes Religion_quotes Repay_quotes Respond_quotes Science_quotes Scientist_quotes Score_quotes Seem_quotes Selection_quotes Sense_quotes Show_quotes Sight_quotes Solidarity_quotes Soul_quotes State_quotes Study_quotes Stupidity_quotes Survival_quotes Tear_quotes Temperature_quotes Testing_quotes Theory_quotes Thinking_quotes Time_quotes Touch_quotes Trace_quotes Tree_quotes Tribal_quotes Trust_quotes Truth_quotes Try_quotes Typical_quotes Unaided_quotes Vaccine_quotes Value_quotes Visual_quotes Weed_quotes Weight_quotes Whole_quotes Window_quotes Withstand_quotes World_quotes

Michael_Polanyi

Vast Knowledge First and Second Hand

“Nobody knows more than a tiny fragment of science well enough to judge its validity and value at first hand. For the rest he has to rely on views accepted at second hand on the authority of a community of people accredited as scientists. But this accrediting depends in its turn on a complex organization. For each member of the community can judge at first hand only a small number of his fellow members, and yet eventually each is accredited by all. What happens is that each recognizes as scientists a number of others by whom he is recognized as such in return, and these relations form chains which transmit these mutual recognitions at second hand through the whole community. This is how each member becomes directly or indirectly accredited by all. The system extends into the past. Its members recognize the same set of persons as their masters and derive from this allegiance a common tradition, of which each carries on a particular strand.”
  • Source: Michael Polanyi, Personal Knowledge (1958), 163.
Keywords: Vast_quotes Knowledge_quotes Tiny_quotes Fragment_quotes Accredit_quotes Dependence_quotes Turn_quotes Complexity_quotes Organization_quotes Member_quotes Community_quotes Science_quotes Judgment_quotes Validity_quotes Value_quotes First-Hand_quotes Reliance_quotes View_quotes Acceptance_quotes Second-Hand_quotes Authority_quotes People_quotes Scientist_quotes Number_quotes Small_quotes Fellow_quotes Eventual_quotes Recognition_quotes Return_quotes Relationship_quotes Chain_quotes Transmit_quotes Mutual_quotes Direct_quotes Indirect_quotes System_quotes Extend_quotes Past_quotes Master_quotes Derive_quotes Allegiance_quotes Common_quotes Tradition_quotes Carry_quotes Particular_quotes Strand_quotes

Karl_Popper

Method of Science

“The method of science depends on our attempts to describe the world with simple theories: theories that are complex may become untestable, even if they happen to be true. Science may be described as the art of systematic over-simplification — the art of discerning what we may with advantage omit.”
  • Source: Karl Raimund Popper, Karl Raimund Popper and William Warren Bartley (ed.), The Open Universe: an Argument for Indeterminism (1991), 44. by Karl Raimund Popper, William Warren Bartley - Science - 1991
Keywords: Methodology_quotes Science_quotes Dependence_quotes Attempt_quotes Description_quotes World_quotes Simplicity_quotes Theory_quotes Complexity_quotes Testing_quotes True_quotes Truth_quotes Art_quotes System_quotes Discern_quotes Advantage_quotes Omit_quotes Untestable_quotes

Rittel_and_Webber

Problem Defining Problems

“By now we are all beginning to realize that one of the most intractable problems is that of defining problems (of knowing what distinguishes an observed condition from a desired condition) and of locating problems (finding where in the complex causal networks the trouble really lies).”
Keywords: Begin_quotes Realization_quotes Intractable_quotes Problem_quotes Define_quotes Knowledge_quotes Distinguish_quotes Observation_quotes Condition_quotes Locate_quotes Complexity_quotes Causality_quotes Network_quotes Trouble_quotes Desire_quotes

Problem Defining Problems

“By now we are all beginning to realize that one of the most intractable problems is that of defining problems (of knowing what distinguishes an observed condition from a desired condition) and of locating problems (finding where in the complex causal networks the trouble really lies).”
Keywords: Begin_quotes Realization_quotes Intractable_quotes Problem_quotes Define_quotes Knowledge_quotes Distinguish_quotes Observation_quotes Condition_quotes Locate_quotes Complexity_quotes Causality_quotes Network_quotes Trouble_quotes Desire_quotes

Bertrand_Russell

Scientific Method Complicated and Simple

“Scientific method, although in its more refined forms it may seem complicated, is in essence remarkably simply. It consists in observing such facts as will enable the observer to discover general laws governing facts of the kind in question. The two stages, first of observation, and second of inference to a law, are both essential, and each is susceptible of almost indefinite refinement.”
  • Source: Bertrand Russell (1931), In The Scientific Outlook (1931, 2009), 3.
Keywords: Scientific_Method_quotes Refine_quotes Form_quotes Complexity_quotes Simplicity_quotes Essential_quotes Remarkable_quotes Consist_quotes Observation_quotes Fact_quotes Enable_quotes Discovery_quotes Generality_quotes Law_quotes Govern_quotes Kind_quotes Question_quotes Stage_quotes Inference_quotes Susceptible_quotes Indefinite_quotes Science_quotes Method_quotes

Saul-Paul_Sirag

Heart of Science

“The essential point in science is not a complicated mathematical formalism or a ritualized experimentation. Rather the heart of science is a kind of shrewd honesty that springs from really wanting to know what the hell is going on!”
  • Source: Words of Saul-Paul Sirag as reported in the book “Quantum Reality: Beyond the New Physics” written by Nick Herbert, page 268, published by Doubleday in 1985. ISBN 978-0385187046.
Keywords: Essential_quotes Point_quotes Science_quotes Complexity_quotes Mathematics_quotes Formal_quotes Ritual_quotes Experiment_quotes Heart_quotes Shrewd_quotes Honesty_quotes Spring_quotes Want_quotes Knowledge_quotes Hell_quotes Go_quotes On_quotes

Gerald_Weinberg

Knowledge Came Slowly

“In ages past, the knowledge came very slowly, and one man in his life was not likely to see much change other than that wrought by nature. The controlled incorporation of arsenic into copper to make bronze took several thousand years to develop; the substitution of tin for the more dangerous arsenic took another thousand or two. In our modern age, laboratories turn out an alloy a day, or more, with properties made to order. The alloying of metals led to the rise and fall of civilizations, but the changes were too slow to be appreciated. A truer blade meant victory over the invaders, but changes were local and slow enough to be absorbed by a million tiny adjustments without destroying the species. With an alloy a day, we can no longer be sure. Science and engineering have been the catalysts for the unprecedented speed and magnitude of change. The physicist shows us how to harness the power of the nucleus; the chemist shows us how to increase the quantity of our food; the geneticist shows us how to improve the quality of our children. But science and engineering have been unable to keep pace with the second-order effects produced by their first-order victories. The excess heat from the nuclear generator alters the spawning pattern of fish, and, before adjustments can be made, other species have produced irreversible changes in the ecology of the river and its borders. The pesticide eliminates one insect only to the advantage of others that may be worse, or the herbicide clears the rain forest for farming, but the resulting soil changes make the land less productive than it was before. And of what we are doing to our progeny, we still have only ghastly hints. Some have said the general systems movement was born out of the failures of science, but it would be more accurate to say the general systems approach is needed because science has been such a success. Science and technology have colonized the planet, and nothing in our lives is untouched. In this changing, they have revealed a complexity with which they are not prepared to deal. The general systems movement has taken up the task of helping scientists unravel complexity, technologists to master it, and others to learn to live with it.”
  • Source: Weinberg, Gerald (2011-04-07). An Introduction to General Systems Thinking (Kindle Locations 264-267). Weinberg & Weinberg. Kindle Edition.
Keywords: History_quotes Knowledge_quotes Slow_quotes Humanity_quotes Life_quotes Change_quotes Nature_quotes Arsenic_quotes Copper_quotes Bronze_quotes Technology_quotes Tin_quotes Metal_quotes Laboratory_quotes Property_quotes On_Demand_quotes Rise_quotes Fall_quotes Civilization_quotes Appreciation_quotes Victory_quotes Blade_quotes Invader_quotes Adjustment_quotes Species_quotes Science_quotes Engineering_quotes Catalyst_quotes Speed_quotes Physics_quotes Chemistry_quotes Food_quotes Genetics_quotes Quality_quotes Children_quotes Effect_quotes Heat_quotes Fish_quotes Irreversible_quotes Ecology_quotes River_quotes Pesticide_quotes Insect_quotes Herbicide_quotes Forest_quotes Farming_quotes Soil_quotes Productivity_quotes Progeny_quotes System_quotes Failure_quotes Accuracy_quotes Colonize_quotes Planet_quotes Earth_quotes Complexity_quotes Preparation_quotes Man_quotes Nucleus_quotes Quantity_quotes Second-order_quotes First-order_quotes Nuclear_quotes Generator_quotes Alter_quotes Spawn_quotes Pattern_quotes Border_quotes Eliminate_quotes Advantage_quotes Worse_quotes Rain_quotes Land_quotes Ghastly_quotes Hint_quotes General_quotes Approach_quotes Success_quotes Accurate_quotes Say_quotes Untouch_quotes Reveal_quotes Master_quotes Learn_quotes

True Consensus on Group Goals

“To achieve true consensus on group goals, there is no better method than having the group set the goals itself... To be sure, not every programming team can be permitted to set whatever goals it happens to fancy at any moment. A team is usually constituted to accomplish some task which has probably been set down before the team was even assembled. But programming tasks are not usually specified too precisely until much later than team formation, so that unless the upper management is very overbearing, much meaningful and interesting goal setting can be done by the team members in concert. The greatest danger is the manager who has come up through the programming ranks and wants to define every bit and byte before the team even sees the problem. Nothing is more sure to dampen the team enthusiasm and make them feel that they are 'mere coders... Of course, it is best if each team can have a single clearly defined goal, but the world is seldom so simple... When a team is not fully apprised of the emphasis to be placed on each factor, the members of that team may very well be working at cross purposes.”
  • Source: Chapter 5. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.
Keywords: True_quotes Achievement_quotes Consensus_quotes Group_quotes Goal_quotes Methodology_quotes Empowerment_quotes Programming_quotes Team_quotes Assignment_quotes Task_quotes Precision_quotes Later_quotes Before_quotes Management_quotes Overbearing_quotes Meaning_quotes Cooperation_quotes Danger_quotes Rank_quotes PreSpecification_quotes Requirements_quotes Problem_quotes Enthusiasm_quotes Coder_quotes Mere_Coders_quotes Clarity_quotes Singleness_quotes World_quotes Simplicity_quotes Complexity_quotes Emphasis_quotes Factor_quotes Work_quotes Cross_Purpose_quotes Assemble_quotes Interesting_quotes Concert_quotes Define_quotes Dampen_quotes Feel_quotes Member_quotes Cross_quotes Purpose_quotes

Measuring Performance

“One consequence of the size of a large project is that performance becomes more difficult to measure. Part of this difficulty stems from the scale of things, which makes it impossible for a single mind to be making the judgment of all the parts.”
  • Source: Chapter 6. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.
Keywords: Consequence_quotes Size_quotes Large_quotes Project_quotes Performance_quotes Measurement_quotes Difficulty_quotes Scale_quotes Impossibility_quotes Mind_quotes Judgment_quotes Part_quotes Complexity_quotes Single_quotes Stem_quotes

Shoshana_Zuboff

Automated Evaluation

“The system automatically computed efficiency ratings for each worker by comparing the amount of time it took to complete a job had been priced. Such calculations with the amount of time for which it could have been generated only by a computer system, since 'we could never have enough clerks to compute these kinds of ratios.' The ratings were considered management information and were not accessible to the craftworkers. Many foremen cautioned against taking the ratings at face value. The most experienced craftsperson frequently was loaded with the most difficult assignments. That individual might show the worst efficiency rating simply because his or her assignments were the most complex and required more than the assigned time.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 331. ISBN:0465032125.
Keywords: System_quotes Automation_quotes Evaluation_quotes Efficiency_quotes Rating_quotes Time_quotes Calculation_quotes Computer_quotes Management_quotes Information_quotes Accessibility_quotes Transparency_quotes Worker_quotes Craft_quotes Supervision_quotes Surveillance_quotes Experience_quotes Difficulty_quotes Assignment_quotes Individuality_quotes Complexity_quotes Requirements_quotes Computation_quotes Compare_quotes Amount_quotes Job_quotes Price_quotes Clerk_quotes Ratio_quotes Craftworker_quotes Foremen_quotes Face_quotes Value_quotes Frequent_quotes Load_quotes Worse_quotes
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