This article organizes reflections around the notion of industrial performance. If the latter has
always justified all the actions carried out in an enterprise, these actions have evolved with …

There is a growing belief that the next generation of information processing systems will be
based on the paradigm of Intelligent and Cooperative Information Systems (ICISs). Such …

This article presents the state-of-the-art in optimal solution methods for decentralized
partially observable Markov decision processes (Dec-POMDPs), which are general models …

In multi-agent systems two forms of learning can be distinguished: centralized learning, that
is, learning done by a single agent independent of the other agents; and distributed …

A survey on agents, causality and intelligence is presented and an equilibrium-based
computing paradigm of quantum agents and quantum intelligence (QAQI) is proposed. In the …

Abstract Distributed Artificial Intelligence (DAI) systems in which multiple problem-solving
agents cooperate to achieve a common objective is a rapidly emerging and promising …

We consider an environment where agents' tasks are tightly coupled and require real-time
scheduling and execution. In order to complete their tasks, agents need to coordinate their …

Computer supported cooperative work (CSCW) systems will undoubtedly play an important
role in the application of information systems in the 1990s and beyond. The term" …

Learning in multi-agent environments constitutes a research and application area whose
importance is broadly acknowledged in artificial intelligence. Although there is a rapidly …

Originally published in 1995, this book is about the conduct of cognitive science rather than
what cognitive science is. It has three main objectives. First, it describes the birth of cognitive …