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Designing collaborative agents with eXAT

Authors: DI STEFANO, Antonella; SANTORO, CORRADO;

Designing collaborative agents with eXAT

Abstract

This paper describes eXAT, an experimental agent-programming platform, based on the Erlang language, designed by the authors. The platform provides an "all-in-one" framework for the design, with a single tool, of agent intelligence, agent behaviour and agent communication. This is made possible in eXAT by means of the integration of an Erlang-based expert system engine, together with an execution environment for agent behaviours based on object-oriented finite-state machines. Such a system allows transition triggering on the basis of agent's mental state. Similarly, the provided agent communication facility, which is based on the exchange of ACL speech acts, cannot only trigger behaviours but also influence agent's mental state according to FIPA-ACL semantics.

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Italy
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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