Abstract
A new hybrid approach for autonomous agents is described. The approach integrates in a principled way the functional and the behavioral approaches of agent design. The integration is based on the introduction of a conceptual space representation that links the subsymbolic level, which is a repository of reactive modules, with the symbolic level, in which rich symbolic descriptions of the agent environment take place. Results are reported obtained by an experimental implementation of the agent.
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© 1997 Springer-Verlag Berlin Heidelberg
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Chella, A., Gaglio, S., Sajeva, G., Torterolo, F. (1997). A hybrid architecture for autonomous agents. In: Lenzerini, M. (eds) AI*IA 97: Advances in Artificial Intelligence. AI*IA 1997. Lecture Notes in Computer Science, vol 1321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63576-9_100
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DOI: https://doi.org/10.1007/3-540-63576-9_100
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