About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 66. Chapters: Occam's razor, Heuristic argument, Forensic science, Baconian method, Satisficing, Evaluation function, Scientific enterprise, Metaheuristic, Heuristic-systematic model of information processing, Scientific consensus, Parsimony, Hyper-heuristic, Simulation heuristic, How to Solve It, Representativeness heuristic, Extremal optimization, Trial and error, Multiple discovery, Familiarity heuristic, Reactive search optimization, Guided Local Search, Availability heuristic, Cross-entropy method, Meta-optimization, Similarity heuristic, Teachable moment, Heuristic function, Anchoring, Parallel tempering, Money illusion, Affect heuristic, Graduated optimization, Duck test, Eurisko, Talking past each other, Null-move heuristic, Human Biocomputer, Rippling, Principle of least astonishment, Admissible heuristic, M-ratio, Pollen calendar, Consistent heuristic, Cognitive inertia, Littlewood's three principles of real analysis, The purpose of a system is what it does, Recognition heuristic, Heroic theory of invention and scientific development, Killer heuristic, Effort heuristic, Emergent algorithm, Contagion heuristic, Peak-end rule, How to Solve It By Computer, Take-the-best heuristic, Gaze heuristic, Self-organising heuristic. Excerpt: Occam's razor (or Ockham's razor) often expressed in Latin as the lex parsimoniae, translating to law of parsimony, law of economy or law of succinctness, is a principle that generally recommends, when faced with competing hypotheses that are equal in other respects, selecting the one that makes the fewest new assumptions. The principle was often inaccurately summarized as "the simplest explanation is most likely the correct one." This summary is misleading, however, since in practice the principle is actually focused on shifting the burden of proof in discussions. That is, the razor is a princi...
