Abstract
Multi-agent systems can be viewed as object-oriented systems in which their entities show an autonomous behavior. If objects could acquire such skill in a flexible way, agents could be built exploiting object-oriented techniques and tools. There are several ways for building agents from objects: defining common interfaces and behavior in abstract superclasses, wrapping objects with agent behavior using composition techniques, etc. However these ways present problems for becoming objects in agents and for adapting the behavior assigned to agents, especially whether it is required in a dynamic way. This article presents one alternative in which agent characteristics (such as perception, communication, reaction, deliberation and learning) can be dynamically added, deleted, and adapted to objects using a particular computational reflection form achieved by meta-objects.
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Amandí, A., Price, A. (1998). Building Object-Agents from a Software Meta-Architecture. In: de Oliveira, F.M. (eds) Advances in Artificial Intelligence. SBIA 1998. Lecture Notes in Computer Science(), vol 1515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10692710_3
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DOI: https://doi.org/10.1007/10692710_3
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