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📒Heuristics And Biases ✍ Thomas Gilovich
✏Heuristics and Biases Book Summary : This book, first published in 2002, compiles psychologists' best attempts to answer important questions about intuitive judgment.
📒Judgment Under Uncertainty ✍ Daniel Kahneman
✏Judgment Under Uncertainty Book Summary : The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important social, medical, and political situations as well. Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty. About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.
📒Heuristics And The Law ✍ Gerd Gigerenzer
✏Heuristics and the Law Book Summary : "Report of the 94th Dahlem Workshop on Heuristics and the Law, Berlin, June 6-11, 2004"--Page ii.
📒Heuristics ✍ Judea Pearl
✏Heuristics Book Summary : Problem-solving strartegies and the nature of Heuristic informatio n.Heuristics and problem representations. Basic Heuristic-Search procedures. Formal properties of Heuristic methods. Heuristics viewed as information provided by simplified models. Performance analysis of Heuristic methods. Abstract models for quantitative performace analysis. Complexity versus precision of admissible Heuristics. Searching with nonadmissible Heuristics. Game-playing programs. Strategies and models for game-playing programs. Performace analysis for game-searching strategies. Decision quality in game searching. Bibliography. Index.
📒Methods Of Heuristics ✍ R. Groner
✏Methods of Heuristics Book Summary : First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.
📒How To Solve It Modern Heuristics ✍ Zbigniew Michalewicz
✏How to Solve It Modern Heuristics Book Summary : This book is the only source that provides a systematic, integrated introduction to problem solving using modern heuristics, presenting the state-of-the-art in both numerical and analytic methods. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. Written in a lively, engaging style, readers will learn how to use some of the most powerful problem solving tools currently available.
📒The Heuristics Debate ✍ Mark Kelman
✏The Heuristics Debate Book Summary : All of us use heuristics--that is, we reach conclusions using shorthand cues without using or analyzing all of the available information. Heuristics pervade all aspects of life, from the most mundane practices to more important ones, like economic decision making and politics. People may decide how fast to drive merely by mimicking others around them or decide in which safety project to invest public resources based on the past disasters most readily called to mind. Not surprisingly, opinions vary about our tendency to use heuristics. The 'heuristics and biases' school argues that the practice often leads to outcomes that are not ideal: people act on too little information, make incorrect assumptions, and don't understand the consequences of their actions. The 'fast and frugal' school contends that while mistakes will inevitably occur, the benefits generally outweigh the costs--not only because using heuristics enables us to reach judgments given realistic constraints of time and attention, but because heuristics users often outperform those using more conventionally rational methods. In The Heuristics Debate, Mark Kelman takes a step back from the chaos of competing academic debates to consider what we have learned--and still need to learn--about the way people actually make decisions. In doing so, Kelman uncovers a powerful tool for understanding the relationship between human reasoning and public policy. Can we figure out more optimal modes of disclosure to consumers or better rules of evidence and jury instructions if we understand more accurately how people process information? Can we figure out how best to increase compliance with law if we understand how people make decisions about whether or not to comply? Alongside a penetrating analysis of the various schools of thought on heuristics, Kelman offers a comprehensive account of how distinct conceptions of the role and nature of heuristic reasoning shape--and misshape--law and policy in America. The Heuristics Debate is a groundbreaking work that will change how we think about the relationship between human psychology, the law, and public policy.
📒Heuristics ✍ Patrick Siarry
✏Heuristics Book Summary : Many advances have recently been made in metaheuristic methods, from theory to applications. The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined. This book discusses theoretical developments in metaheuristics, adaptation of discrete metaheuristics to continuous optimisation, performance comparisons of metaheuristics, co-operative methods combining different approaches, parallel and distributed metaheuristics for multi-objective optimisation, software implementations, and real-world applications.
📒Simple Heuristics In A Social World ✍ ABC Research Group
✏Simple Heuristics in a Social World Book Summary : This title invites readers to discover the simple heuristics that people use to navigate the complexities and surprises of environments populated with others.
📒Heuristics ✍ Source Wikipedia
✏Heuristics Book Summary : 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.