Neural networks and intellect: using model-based concepts
Neural networks and intellect: using model-based concepts
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Multi-agent FX-Market Modeling Based on Cognitive Systems
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
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In this paper, we present an explanatory multi-agent model. The agents decision making is based on cognitive systems with three basic features (perception, internal processing and action). The interaction of the agents allows us to capture the market dynamics.The three features are derived deductively from the assumption of homeostasis and constitute necessary conditions of a cognitive system. Given a changing environment, homeostasis can be seen as the attempt of a cognitive agent to maintain an internal equilibrium. We model the cognitive system with a time-delay recurrent neural network.We apply our approach to the DEM / USD FX-Market. Fitting realworld data, our approach is superior to a preset benchmark (MLP).