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» Multiagent simulation of learning environments
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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 15 days ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
AGENTS
1999
Springer
13 years 12 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ATAL
2010
Springer
13 years 8 months ago
MAS-DisCoSim 4 PDP: a testbed for multi-agent solutions to PDPs
This demo illustrates MAS-DisCoSim 4 PDP, a testbed environment for evaluating distributed multi-agent system solutions to pickup and delivery problems (PDPs). PDPs are well-studi...
Jelle Van Gompel, Bart Tuts, Rutger Claes, Mario C...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Division blocks and the open-ended evolution of development, form, and behavior
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...
Lee Spector, Jon Klein, Mark Feinstein
ECAL
2005
Springer
14 years 1 months ago
Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge
Typically, multi-agent models for studying the evolution of perceptually grounded lexicons assume that agents perceive the same set of objects, and that there is either joint atten...
Federico Divina, Paul Vogt