AAAI Publications, 2018 AAAI Spring Symposium Series

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Flexible Goal-Directed Agents' Behavior via DALI MASs and ASP Modules
Stefania Costantini, Giovanni De Gasperis

Last modified: 2018-03-15


This paper describes the architecture that integrates DALI MASs (Multi-Agent Systems) and ASP (Answer Set Programming) modules for reaching goals in a flexible and timely way, where DALI is a computational-logic-based fully implemented agent-oriented logic programming language and ASP modules includes solvers that allow affordable and flexible planning capabilities. The proposed DALI MAS architecture exploits such modules for flexible goal decomposition and planning, with the possibility to select plans according to a suite of possible preferences and to re-plan upon need. We present an abstract case-study concerning DALI agents which cooperate for exploring an unknown territory under changing circumstances in an optimal or at least sub-optimal fashion. The architecture can be exploited not only by DALI agents, but rather by any kind of logical agent.


Logical Agents; Answer Set Programming; Planning

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