Cooperative multi-agent planning (MAP) is a relatively recent research field that combines
technologies, algorithms, and techniques developed by the Artificial Intelligence Planning …

Complex, real-world domains require rethinking traditional approaches to AI planning.
Planning and executing the resulting plans in a dynamic environment implies a continual …

Many researchers have demonstrated that the organizational design employed by an agent
system can have a significant, quantitative effect on its performance characteristics. A range …

Many AI researchers are today striving to build agent teams for complex, dynamic multi-
agent domains, with intended applications in arenas such as education, training …

This paper provides a survey of existing research on agent-based approaches to
transportation and traffic management. A framework for describing and assessing this work …

Despite the significant progress in multiagent teamwork, existing research does not address
the optimality of its prescriptions nor the complexity of the teamwork problem. Without a …

We present and discuss a distributed scheme for multi-robot cooperation. It integrates
mission planning and task refinement as well as cooperative mechanisms adapted from the …

In a multi-agent environment, where self-motivated agents try to pursue their own goals,
cooperation cannot be taken for granted. Cooperation must be planned for and achieved …

2 chapter contains examples of intelligent agents, arranged according to their appli cation
areas. Chapter 7 closes with a prospective view of the future development of intelligent …

Researchers in the field of Distributed Artificial Intelligence (DAI) h ave been develo**
efficient mechanisms to coordinate the activities of multiple autonomous agents. The need …