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» Learning in Multi-Agent Systems
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128
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TSMC
2008
146views more  TSMC 2008»
15 years 3 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
118
Voted
ATAL
2009
Springer
15 years 10 months ago
MASQ: towards an integral approach to interaction
In this paper we describe MASQ (Multi-Agent Systems based on Quadrants), a model that defines four perspectives over an agent-based interaction according to two axes: internal/ex...
Tiberiu Stratulat, Jacques Ferber, John Tranier
119
Voted
ATAL
2003
Springer
15 years 8 months ago
Dynamic Imputation of Agent Cognition
People can interact much more readily with a multi-agent system if they can understand it in cognitive terms. Modern work on “BDI agents” emphasizes explicit representation of ...
H. Van Dyke Parunak, Sven Brueckner
DALT
2003
Springer
15 years 8 months ago
A logic for ignorance
We introduce and motivate a non-standard multi-modal logic to represent and reason about ignorance in Multi-Agent Systems. We argue that in Multi-agent systems being able to reaso...
Wiebe van der Hoek, Alessio Lomuscio
157
Voted
CEEMAS
2007
Springer
15 years 7 months ago
Knowledge Driven Architecture for Home Care
Multi-Agent Systems (MAS) in health-care domains are showing a rapid increase, in order to manage complex tasks and adapt gracefully to unexpected events. On the other hand, the la...
Ákos Hajnal, David Isern, Antonio Moreno, G...