—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...
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...
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 ...
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...
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...