LI(A)RA Team - A Declarative and Distributed Implementation for the MAPC 2022

Marcelo Custódio, Michele Rocha, Ricardo Battaglin, Giovani P. Farias,Alison R. Panisson

The Multi-Agent Programming Contest 2022: Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not(2023)

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摘要
With the increasing computational power and the evolution of the distributed computing paradigm and artificial intelligence techniques and methodologies, computing is becoming increasingly distributed and intelligent. The multi-agent paradigm is one of the most powerful paradigms for implementing distributed artificial intelligence. There are multiple (multi-)agent-oriented programming languages, platforms and methodologies to implement these systems, and the Multi-Agent Programming Contest aims to provide challenging scenarios in which researchers can explore their preferred programming languages, platforms and methodologies to implement multi-agent systems, collecting benchmarks, etc. In this paper, we describe the multi-agent system implemented by the LI(A)RA team for the Multi-Agent Programming Contest 2022, including details about the system’s implementation, the technologies and methodologies used, and also discuss the team’s results.
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mapc,implementation
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