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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
ICANN
2001
Springer
15 years 8 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
124
Voted
ICANN
1997
Springer
15 years 7 months ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
143
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ICANN
2009
Springer
15 years 7 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
127
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KES
2007
Springer
15 years 9 months ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza