A connectionist approach to spatial memory and planning

G. Bugmann

pp. 109-146

in: L. J. Landau, John G. Taylor (eds), Concepts for neural networks, Berlin, Springer, 1998

Abstract

This chapter describes the design and testing of a biologically inspired vision-based model of spatial memory. Three theories of biological spatial memory are discussed. The Topological Network-map theory is translated into general principles, and two forms of connectionist implementation of these principles are discussed. This is followed by a discussion of planning and map-learning experiments performed with a robot. These experiments reveal problems with the implementation of the view-graph principle. The causes of these problems are discussed and solutions proposed.