In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...
This paper puts forward a normative framework for computational societies which enables the handling of incomplete knowledge about normative relations. In particular, attempts to p...
Abstract--Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for norm-enforcement in multi-agent systems o...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
Abstract. Workflows represent the coordination requirements of various distributed operations in an organisation; workflows neatly capture business processes, and are particularly ...
Joey Sik Chun Lam, Frank Guerin, Wamberto Weber Va...
Multi-agent systems (MASs), comprised of autonomous entities with the aim to cooperate to reach a common goal, may be viewed as computational models of distributed complex systems ...
Most works on norms in the multi-agent systems field have concentrated on how norms can be applied to regulate behaviour in agent societies using a top-down approach. In this work,...
Bastin Tony Roy Savarimuthu, Stephen Cranefield, M...