Affordances, motivations, and the world graph theory
Adaptive Behavior - Special issue on biologically inspired models of navigation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
2005 Special issue: Robust self-localisation and navigation based on hippocampal place cells
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Episodes in Space: A Modeling Study of Hippocampal Place Representation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Map-Based Spatial Navigation: A Cortical Column Model for Action Planning
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Analyzing Interactions between Navigation Strategies Using a Computational Model of Action Selection
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
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The hypothesis of multiple memory systems involved in different learning of navigation strategies has gained strong arguments through biological experiments. However, it remains difficult for experimentalists to understand how these systems interact. We propose a new computational model of selection between parallel systems involving cue-guided and place-based navigation strategies that allows analyses of selection switches between both control systems, while providing information that is not directly accessible in experiments with animals. Contrary to existing models of navigation, its module of selection is adaptive and uses a criterion which allows the comparison of strategies having different learning processes. Moreover, the spatial representation used by the place-based strategy is based on a recent hippocampus model. We illustrate the ability of this navigation model to analyze animal behavior in experiments in which the availability of sensory cues, together with the amount of training, influence the competitive or cooperative nature of their interactions.