Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

Agent-based computing is a promising approach for developing applications in complex
domains. However, despite the great deal of research in the area, a number of challenges …

The term computer simulation is related to the usage of a computational model in order to
improve the understanding of a system's behavior and/or to evaluate strategies for its …

The current practice in multiagent systems typically associates the environment with
resources that are external to agents and their communication infrastructure. Advanced uses …

Research in Multi-Agent Systems (MAS) has recently led to the development of practical
programming languages and tools that are appropriate for the implementation of such …

Abstract Multi-Agent Systems (MAS) technology is widely used for the development of
intelligent distributed systems that manage sensitive data (eg, ambient assisted living …

This article introduces the notion of environment programming in software multi-agent
systems (MAS) and describes a concrete computational and programming model based on …

The architecture of a multi-agent system can naturally be viewed as a computational
organisation. For this reason, we believe organisational abstractions should play a central …

Together with the disruptive development of modern sub-symbolic approaches to artificial
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …

A tuple centre is a tuple space whose behaviour can be defined by means of reactions to
communication events. In this paper, we motivate and define the notion of tuple centre, both …