(1983). Search and reasoning in problem solving. Artificial Intelligence, 21, 7 29.Simon H. A. (1983). Search and reasoning in problem solving. Artificial Intelligence , 21 , 7–29.. Search and Reasoning in Problem Solving. Artificial Intelligence, 21: 7-29....
03.1.1_AlgorithmsAndArchitectures_ProblemSolvingBySearchingProblemSpaces 01:47:42 03.2.1_AlgorithmsAndArchitectures_KnowledgeRepresentation&Knowledge-BasedAgents 01:08:33 03.3.1_AlgorithmsAndArchitectures_LogicsForKnowledgeRepresentation 01:04:41 03.4.1_AlgorithmsAndArchitectures_AutomatedReasoning 01:02:22 ...
van Hee, K.M. and Lapinski, A., OR and AI Approaches to Decision Support Systems, Decision Support Systems 4 (1988), pp. 447–459. Simon, H.A., Search and Reasoning in Problem Solving, Artificial Intelligence 21 (1983), pp. 7–29. Author information Authors and Affiliations Department ...
In the Real-Time Agent-Centered Search (RTACS) problem, an agent has to arrive at a goal location while acting and reasoning in the physical world. Traditi... G Sharon,A Felner,NR Sturtevant - Twenty-eighth Aaai Conference on Artificial Intelligence & the Twenty-sixth Innovative Applications ...
Case-based reasoning is the most preferred method for problem solving and decision making in ... PS Deng - 《European Journal of Operational Research》 被引量: 71发表: 1996年 RESEARCH AND APPLICATION OF ONTOLOGY MODELING FOR PRODUCT DESIGN BASED ON CASE REASONING The existing product design ...
Also found in:Dictionary,Thesaurus,Legal,Idioms,Encyclopedia. Related to searches:Searches and seizures [serch] 1.to probe or investigate. 2.a probe or investigation. literature searcha search intended to create a customized bibliography that treats aspects of a research, scholarly, or topical litera...
We decided not to include “ambiguity” in our search terms, following the reasoning of Hillen et al. (2017). They state that uncertainty “is the overarching, superordinate construct […]. In contrast, ambiguity is the subordinate construct, one of uncertainty's principal sources […]” (p...
Inductive reasoning is a core problem-solving capacity: humans can identify underlying principles from a few examples, which robustly generalize to novel scenarios. Recent work evaluates large language models (LLMs) on inductive reasoning tasks by directly prompting them yielding "in context learning."...
To further expand the model's search space and enhance its problem-solving capabilities, we experimented with dividing these steps into smaller units of 64 or 32 tokens, referred to as "mini-step." This finer granularity allowed the model to explore reasoning paths in greater detail. While ...
Abdel-Aziz A, Cheng W, Strickert M, Hullermeier E (2013) Preference-based CBR: a search-based problem solving framework. In: International conference on case-based reasoning. Springer, Berlin, pp 1-14A. Abdel-Aziz, W. Cheng, M. Strickert, and E. Hu¨llermeier. Preference-based CBR:...