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GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
13 years 9 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
ECAL
2001
Springer
13 years 9 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
NN
1998
Springer
117views Neural Networks» more  NN 1998»
13 years 4 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
Yasuo Kuniyoshi, Luc Berthouze
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 10 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...
ISNN
2007
Springer
13 years 10 months ago
Pattern-Oriented Agent-Based Modeling for Financial Market Simulation
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
Chi Xu, Zheru Chi