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ERIC Number: EJ1012197
Record Type: Journal
Publication Date: 2013
Pages: 18
Abstractor: As Provided
Reference Count: 28
ISSN: ISSN-0364-0213
Goal-Proximity Decision-Making
Veksler, Vladislav D.; Gray, Wayne D.; Schoelles, Michael J.
Cognitive Science, v37 n4 p757-774 May-Jun 2013
Reinforcement learning (RL) models of decision-making cannot account for human decisions in the absence of prior reward or punishment. We propose a mechanism for choosing among available options based on goal-option association strengths, where association strengths between objects represent previously experienced object proximity. The proposed mechanism, Goal-Proximity Decision-making (GPD), is implemented within the ACT-R cognitive framework. GPD is found to be more efficient than RL in three maze-navigation simulations. GPD advantages over RL seem to grow as task difficulty is increased. An experiment is presented where participants are asked to make choices in the absence of prior reward. GPD captures human performance in this experiment better than RL. (Contains 4 tables, 6 figures, and 1 note.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: New York