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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 5 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
AGENTS
1999
Springer
15 years 4 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
ROBOCUP
2004
Springer
133views Robotics» more  ROBOCUP 2004»
15 years 5 months ago
Towards a League-Independent Qualitative Soccer Theory for RoboCup
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
COSIT
2001
Springer
142views GIS» more  COSIT 2001»
15 years 4 months ago
The Utility of Global Representations in a Cognitive Map
In this paper we propose the use of small global memory for a viewer’s immediate surroundings to assist in recognising places that have been visited previously. We call this glob...
Margaret E. Jefferies, Wai K. Yeap
BC
2002
193views more  BC 2002»
14 years 11 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon