Journal ArticleDOI
Team PUCRS: a decentralised multi-agent solution for the agents in the city scenario
Rafael C. Cardoso,Ramon Fraga Pereira,Guilherme Krzisch,Mauricio Cecilio Magnaguagno,Tulio L. Basegio,Felipe Meneguzzi +5 more
TLDR
The 2016 edition of the multi-agent programming contest used the agents in the city as its new scenario, which consisted on the execution of various logistics tasks within a realistic city topology using a number of different vehicle types.Abstract:
The 2016 edition of the multi-agent programming contest used the agents in the city as its new scenario, which consisted on the execution of various logistics tasks within a realistic city topology...read more
Citations
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Journal ArticleDOI
Multi-agent programming contest 2017: The twelfth edition of the MAPC
TL;DR: The twelfth edition of the Multi-Agent Programming Contest is presented, an annual, community-serving competition that attracts groups from all over the world and provides a concrete problem that is interesting in itself and well-suited to be tackled in educational environments.
Book ChapterDOI
LFC: Combining Autonomous Agents and Automated Planning in the Multi-Agent Programming Contest
TL;DR: The 2019 Multi-Agent Programming Contest introduced a new scenario, Agents Assemble, where two teams of agents move around a 2D grid and compete to assemble complex block structures as discussed by the authors.
Journal ArticleDOI
SMART-JaCaMo: an organization-based team for the multi-agent programming contest
Rafael C. Cardoso,Tabajara Krausburg,Tulio L. Basegio,Débora C. Engelmann,Jomi Fred Hübner,Rafael H. Bordini +5 more
TL;DR: This team describes the strategies used by their team, highlighting their adaptations and any new additions from their participation in the Multi-Agent Programming Contest in 2017, which shifted emphasis to include jobs that require assembled items, new types of facilities, and larger teams.
Book ChapterDOI
SMART–JaCaMo: An Organisation-Based Team for the Multi-Agent Programming Contest
Tabajara Krausburg,Rafael C. Cardoso,Juliana Damasio,Vitor Peres,Giovani Parente Farias,Débora C. Engelmann,Jomi Fred Hübner,Rafael H. Bordini +7 more
TL;DR: This team was the highest-scoring team in the Multi-Agent Programming Contest in 2018 and their multi-agent system turned out to be stable and robust in solving the difficult problems posed by the contest scenario.
Book
The Multi-Agent Programming Contest 2018 Agents Teaming Up in an Urban Environment
TL;DR: A task-oriented architecture with priority queue for BDI agents applied to the Multi Agent Programming Contest scenario and a Hybrid Behaviour Planner for Behaviour Hierarchies and Self-Organisation in the Multi-Agent Programming Contest.
References
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Book
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
TL;DR: The Jason Agent Programming Language as discussed by the authors is a programming language based on the BDI Agent Model that allows to define simulated environments and communicate with multiple agents in a BDI agent language.
Book
Developing Intelligent Agent Systems: A Practical Guide
Lin Padgham,Michael Winikoff +1 more
TL;DR: Developing Intelligent Agent Systems not only answers the questions 'what are agents?' and 'why are they useful?' but also the crucial question: 'how do I design and build intelligent agent systems?'
Journal ArticleDOI
Artifacts in the A&A meta-model for multi-agent systems
TL;DR: The notions of artifact in the A&A meta-model are defined, how it affects the notion of intelligence in MAS is discussed, and its application to a number of agent-related research fields are shown.
Journal ArticleDOI
Multi-agent oriented programming with JaCaMo
TL;DR: This paper shows the full potential of multi-agent systems as a programming paradigm and builds upon three existing platforms: Jason for programming autonomous agents, Moise for programming agent organisations, and CArtAgO for programming shared environments.
Journal ArticleDOI
Developing organised multiagent systems using the MOISE + model: programming issues at the system and agent levels
TL;DR: A set of computational tools is described that supports the development and the programming of multiagent systems and ensures that all agents will follow the organisational constraints.