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CEC
2009
IEEE
15 years 11 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
ATAL
1997
Springer
15 years 9 months ago
Approximate Reasoning about Combined Knowledge
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
Frédéric Koriche
ICARIS
2004
Springer
15 years 10 months ago
Immunity Through Swarms: Agent-Based Simulations of the Human Immune System
Abstract. We present a swarm-based, 3-dimensional model of the human immune system and its response to first and second viral antigen exposure. Our model utilizes a decentralized ...
Christian Jacob, Julius Litorco, Leo Lee
CEC
2005
IEEE
15 years 10 months ago
Distributed brain modelling by means of hierarchical collaborative coevolution
The current work addresses the development of cognitive abilities in artificial organisms. In the proposed approach, neural network-based agent structures are employed to represen...
Michail Maniadakis, Panos E. Trahanias
ECAI
2008
Springer
15 years 6 months ago
An Empirical Investigation of the Adversarial Activity Model
Multiagent research provides an extensive literature on formal Belief-Desire-Intention (BDI) based models describing the notions of teamwork and cooperation, but adversarial and c...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...