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» Multiagent simulation of learning environments
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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 10 months 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
15 years 9 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
172
Voted
ATAL
2010
Springer
15 years 6 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...
119
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 11 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
15 years 11 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