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» Evolution and learning in multiagent systems
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ATAL
2005
Springer
14 years 2 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolution of adult male oral tract shapes for close and open vowels
In this paper, we describe an experiment to evolve oral tract (mouth) shapes for a set of vowels for two adult males. Target vowels were recorded in an acoustically anechoic room ...
David M. Howard, Andy M. Tyrrell, Crispin H. V. Co...
IJCAI
2007
13 years 10 months ago
Augmented Experiment: Participatory Design with Multiagent Simulation
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuk...
JMLR
2008
141views more  JMLR 2008»
13 years 9 months ago
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
ATAL
2003
Springer
14 years 2 months ago
Information-driven phase changes in multi-agent coordination
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
Sven Brueckner, H. Van Dyke Parunak