Article first published online: 29 MAR 2013
Copyright © 2013 Cognitive Science Society, Inc.
Volume 37, Issue 4, pages 757–774, May/June 2013
How to Cite
Veksler, V. D., Gray, W. D. and Schoelles, M. J. (2013), Goal-Proximity Decision-Making. Cognitive Science, 37: 757–774. doi: 10.1111/cogs.12034
- Issue published online: 8 MAY 2013
- Article first published online: 29 MAR 2013
- Manuscript Accepted: 7 JUN 2012
- Manuscript Revised: 5 MAY 2012
- Manuscript Received: 15 FEB 2012
- Associative learning;
- Reinforcement learning;
- Spreading activation;
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.