Complex adaptive systems (CAS) modeling has become a common tool to study the behavioral dynamics of agents in a broad range of disciplines from ecology to economics. Many modelers...
Marshall A. Kuypers, Walter E. Beyeler, Robert J. ...
Researchers in the field of multiagent sequential decision making have commonly used the terms “weakly-coupled” and “loosely-coupled” to qualitatively classify problems i...
In open societies of agents, where agents are autonomous and heterogeneous, it is not realistic to assume that agents will always act so as to comply to interaction protocols. Thu...
Marco Alberti, Marco Gavanelli, Evelina Lamma, Fed...
Agentis is a framework for building interactive multiagent applications which is based upon a model of agent interaction whose key elements are services and tasks. Central to the ...
Abstract. Software agent technology has attracted much attention for developing various distributed systems, composed of autonomous agents interacting with one another using partic...
The effects of distinct agent interaction and activation structures are compared and contrasted in several multi-agent models of social phenomena. Random graphs and lattices repre...
Discussions of agent interactions frequently characterize behavior as “coherent,” “collaborative,” “cooperative,” “competitive,” or “coordinated.” We propose a...
H. Van Dyke Parunak, Sven Brueckner, Mitchell Flei...
Abstract. In this paper we introduce an approach for defining semantics for AUML agent interaction protocol diagrams using Petri net code structures. This approach is based on the...
This paper describes the use of coherence constraints as a means to regulate agent interaction. Coherence constraints describe relationships between the content of utterances, and ...
Abstract. A crucial part of multi-agent system design is the design of agent interactions. Traditional approaches to designing agent interaction use interaction protocols, which fo...