A subsymbolic and visual model of spatial path planning

David Reitter, Christian Lebiere

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about the environment with search guided by visual perception. In the first component, subsymbolic information, acquired during navigation, aids in the retrieval of declarative information representing possible paths to take. In the second component, visual information directs the search, which in turn creates knowledge for the first component. The model is implemented using the ACT-R cognitive architecture and makes realistic assumptions about memory access and shifts in visual attention. We present simulation results for memory-based high-level navigation in grid and tree structures, and visual navigation in mazes, varying relevant cognitive (retrieval noise, visual finsts) and environmental (maze and path size) parameters.

Original languageEnglish (US)
Title of host publication18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009
Pages89-96
Number of pages8
StatePublished - Dec 1 2009
Event18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009 - Sundance, UT, United States
Duration: Mar 30 2009Apr 2 2009

Publication series

Name18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009

Other

Other18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009
CountryUnited States
CitySundance, UT
Period3/30/094/2/09

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation

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    Reitter, D., & Lebiere, C. (2009). A subsymbolic and visual model of spatial path planning. In 18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009 (pp. 89-96). (18th Annual Conference on Behavior Representation in Modeling and Simulation 2009, BRiMS 2009).