Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of lo...
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
Suranga Hettiarachchi, William M. Spears, Derek Gr...
This paper defines an approach to simulation of natural systems, inspired by complex systems theory. A complex natural system is modeled as a multi-agent simulation system, agents...