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APIN
2006
142views more  APIN 2006»
14 years 9 months ago
Achieving dynamic, multi-commander, multi-mission planning and execution
The Multi-Agent Distributed Goal Satisfaction (MADGS) system facilitates distributed mission planning and execution in complex dynamic environments with a focus on distributed goal...
Eugene Santos, Scott A. DeLoach, Michael T. Cox
ATAL
2009
Springer
15 years 4 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
AOSE
2007
Springer
15 years 1 months ago
Refining Goal Models by Evaluating System Behaviour
Abstract. Nowadays, information systems have to perform in complex, heterogeneous environments, considering a variety of system users with different needs and preferences. Software...
Mirko Morandini, Loris Penserini, Anna Perini, Ang...
LAMAS
2005
Springer
15 years 3 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
ATAL
2006
Springer
15 years 1 months ago
Reasoning about action and cooperation
We present a logic for reasoning both about the ability of agents to cooperate to execute complex actions, and how this relates to their ability to reach certain states of affairs...
Luigi Sauro, Jelle Gerbrandy, Wiebe van der Hoek, ...