Goal Sequencing for Construction Agents in a Simulated Environment

Authors:
Anand Panangadan;Michael G. Dyer
Affiliations:
-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

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Abstract

A connectionist architecture enables a society of agents to efficiently construct 2D structures. The agents use internal spatial maps to compute a sequence of construction actions that reduces total distance traveled. All computations are done over grids of neurons interacting locally. Simulation results are presented.