Results 221 to 230 of about 35,268 (259)
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SSRN Electronic Journal, 2014
This chapter for the forthcoming book, The Law and Economics of Possession (Yun-chien Chang, ed), explores the law of possession as an application of a heuristic (a simple decision making strategy devised to solve complex problems, part of System 1 thinking in Daniel Kahneman’s famous formulation).
Christopher Serkin, James E. Krier
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This chapter for the forthcoming book, The Law and Economics of Possession (Yun-chien Chang, ed), explores the law of possession as an application of a heuristic (a simple decision making strategy devised to solve complex problems, part of System 1 thinking in Daniel Kahneman’s famous formulation).
Christopher Serkin, James E. Krier
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AI & Society, 1989
In its focus on heuristics as opposed to hierarchically structured general principles, expert systems technology suggests a pedagogic strategy with affinities to the approaches of some of the creative philosophers of East and West, and a challenge to the reliance on presentation of general principles found in academic tradition.
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In its focus on heuristics as opposed to hierarchically structured general principles, expert systems technology suggests a pedagogic strategy with affinities to the approaches of some of the creative philosophers of East and West, and a challenge to the reliance on presentation of general principles found in academic tradition.
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Heuristic and Meta-Heuristic Optimization
2016This chapter deals with the fundamentals of the optimization. The concepts of stochastic optimization and how the stochastic optimization is advantageous over the deterministic approaches are described in Sect. 3.2. Heuristic and meta-heuristic optimization techniques are defined in Sect.
Prajna Kunche, K. V. V. S. Reddy
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Behavioural Processes, 2005
Simple heuristics may help explain how even a spider, despite its minute brain, can be disturbingly intelligent. Hutchinson and Gigerenzer suggest that the generalist-specialist distinction (or more accurately the predictability-unpredictability distinction) may be related to a species' level of reliance on simple heuristics, and spider behaviour may ...
Fiona R, Cross, Robert R, Jackson
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Simple heuristics may help explain how even a spider, despite its minute brain, can be disturbingly intelligent. Hutchinson and Gigerenzer suggest that the generalist-specialist distinction (or more accurately the predictability-unpredictability distinction) may be related to a species' level of reliance on simple heuristics, and spider behaviour may ...
Fiona R, Cross, Robert R, Jackson
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ICGA Journal, 1992
A new move-ordering method is introduced: the countermove heuristic. It shows similarities with some previously described techniques, but differs sufficiently for a test of its effectiveness to be undertaken. The technique is based on the assumption that many moves have a “natural” response, irrespective of the actual position in which the moves occur.
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A new move-ordering method is introduced: the countermove heuristic. It shows similarities with some previously described techniques, but differs sufficiently for a test of its effectiveness to be undertaken. The technique is based on the assumption that many moves have a “natural” response, irrespective of the actual position in which the moves occur.
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Artificial Intelligence, 1982
Abstract Builders of expert rule-based systems attribute the impressive performance of their programs to the corpus of knowledge they embody: a large network of facts to provide breadth of scope, and a large array of informal judgmental rules (heuristics) which guide the system toward plausible paths to follow and away from implausible ones. Yet what
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Abstract Builders of expert rule-based systems attribute the impressive performance of their programs to the corpus of knowledge they embody: a large network of facts to provide breadth of scope, and a large array of informal judgmental rules (heuristics) which guide the system toward plausible paths to follow and away from implausible ones. Yet what
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ICGA Journal, 1983
This paper presents the history heuristic, an inexpensive way to re-order moves dynamically at interior nodes of search trees. This method is experimentally shown to decrease the running time of a chess program by 21%.
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This paper presents the history heuristic, an inexpensive way to re-order moves dynamically at interior nodes of search trees. This method is experimentally shown to decrease the running time of a chess program by 21%.
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1997
An essential heuristic in the SHUNYATA program is the composition heuristic which produces predicates and formulas forming the central “ideas” of proofs. In the proof of a rather simple theorem in mathematical logic, it generates a predicate. In the proof of Godel's incompleteness theorem, it generates an undecidable formula.
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An essential heuristic in the SHUNYATA program is the composition heuristic which produces predicates and formulas forming the central “ideas” of proofs. In the proof of a rather simple theorem in mathematical logic, it generates a predicate. In the proof of Godel's incompleteness theorem, it generates an undecidable formula.
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gauging the heuristic value of heuristics
Behavioral and Brain Sciences, 2005heuristics are necessary but far from sufficient explanations for moral judgment. this commentary stresses: (a) the need to complement cold, cognitive-economizing functionalist accounts with hot, value-expressive, social-identity-affirming accounts; and (b) the importance of conducting reflective-equilibrium thought and laboratory experiments that ...
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Notes on "Heuristic classification"
Artificial Intelligence, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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