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AAMAS
2005
Springer
13 years 11 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
AUTOMATICA
2011
13 years 6 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
CANDC
2009
ACM
14 years 5 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 5 months ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto
AIPS
1994
14 years 8 days ago
Human Frontal Lobes and AI Planning Systems
This paper presents an AI model of integrated planning and reaction based on neuropsychological theories of similar human behavior. The model forges a link between frontal lobe mo...
Richard Levinson