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» Learning Models of Intelligent Agents
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190
Voted
ICCCI
2011
Springer
14 years 8 days ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon
AAAI
1996
15 years 2 months ago
Comparing Agent Modeling For Language and Action
Wepresent our approach to agent modelingfor communication, and compareit to an approach to agent modelingfor other types of action. The comparisonshould be instructive since both ...
Nancy Green, Jill Lehman
92
Voted
ATAL
2006
Springer
15 years 4 months ago
Efficient agent-based models for non-genomic evolution
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
Nachi Gupta, Adrian K. Agogino, Kagan Tumer
85
Voted
AAAI
2007
15 years 3 months ago
The Marchitecture: A Cognitive Architecture for a Robot Baby
The Marchitecture is a cognitive architecture for autonomous development of representations. The goals of The Marchitecture are domain independence, operating in the absence of kn...
Marc Pickett, Tim Oates
117
Voted
ATAL
2005
Springer
15 years 6 months ago
Coordinating change of agents' states in situated agents models
Situated Multi Agent System models are characterized by the representation and exploitation of spatial information related to agents, the environment they inhabit and their positi...
Giuseppe Vizzari, Stefania Bandini