A group of agents can be used to perform patrolling tasks in a variety of domains ranging from computer network administration to computer wargame simulations. Despite its wide range of potential applications, multiagent architectures for patrolling have not been studied in depth yet. First state of the art approaches used to deal with related problems cannot be easily adapted to the patrolling...

In this paper we introduce a formal framework for the construction of normative multiagent systems, based on Searle’s notion of the construction of social reality. Within the structure of normative multiagent systems we distinguish between regulative norms that describe obligations, prohibitions and permissions, and constitutive norms that regulate the creation of institutional facts as well as...

The idea of “only knowing” a collection of sentences, as proposed by Levesque, has been previously shown to be very useful in characterizing knowledge-based agents: in terms of a specification, a precise and perspicuous account of the beliefs and non-beliefs is obtained in a monotonic setting. Levesque’s logic is based on a first-order modal language with quantifying-in, thus allowing for de re...

Diversity is an important aspect of highly efficient multi-agent teams. We introduce the main factors that drive a multi-agent system in either direction along the diversity scale. A metric for diversity is described, and we speculate on the concept of transient diversity. Finally, an experiment on social entropy using a RoboCup simulated soccer team is presented. This research area is quite ne...

This paper reports the results of a multi-agent simulation designed to study the emergence and evolution of symbolic communication. The novelty of this model is that it considers some interactional and spatial constraints to this process that have been disregarded by previous research. The model is used to give an account of the implications of differences in the agents’ behavior, which are emb...

Cooperation is the single most fundamental characteristic of multiagent systems, and much work has been done on studying the various aspects involved, from general models of the overall structure of cooperation to detailed analyses of specific components. In our work, we aim to do both — we provide a general model and instantiate each stage in that model. We take the notions of trust and motiva...

This paper is concerned with infrastructural support for nomadic agents. Agent migration offers much potential however issues relating to the security and integrity of their temporary resting nodes has mitigated against the harvesting of their true potential. Within this paper we introduce the Agent Travel Metaphor (ATM) which offers a comprehensive metaphor fostering integrating of control and...

In this demo, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called “Schema Matching Agent-based Simulation” (SMAS). Our solution aims at generating high quality schema matchings with minimum uncertainty. As far as we know, there is no previous literature describing a solution approaching the Automatic Schema Matching and M...

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between people management practices on the shop-floor and retail performance. Despite the fact we are working within a relatively novel and complex domai...

Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. EEective agent interactions in such domains raise some of the most fundamental research challenges for agent-based systems, in teamwork, multi-agent learning and agent modelling. The RoboCup research initiative, particularly the simulation league, has been proposed to pursue such multi-agent research...