Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex
learning, planning, and decision-making problems. When we talk about decision making …

Distributed AI is the branch of AI concerned with how to coordinate behavior among a
collection of semi-autonomous problem-solving agents: how they can coordinate their …

Most artificial intelligence research investigates intelligent behavior for a single agent--
solving problems heuristically, understanding natural language, and so on. Distributed …

To coordinate as an effective team, cooperating problem solvers must negotiate over their
use of local resources, information, and expertise. Sometimes they negotiate to decide …

Recent advances in artificial intelligence, particularly in the field of multi-agent theory, offer
great promises in modeling strategic planning processes. In this domain, the ability to …

Artificial Intelligence (AI) has emphasized building\stand-alone systems" that can solve
problems with minimal help from other systems (computer or human). These systems have …

Distributed problem solving involves the collective effort of multiple problems solvers to
combine their knowledge, information, and capabilities so as to develop solutions to …

Distributed problem solving is a subfield of artificial intelligence that deals with the
interactions of groups of intelligent agents attempting to cooperate to solve problems …

As distributed computing is used in applications where the distributed tasks are highly
interrelated and change dynamically, coordination becomes increasingly important and …

Coordination and cooperation are two major concerns in distributed artificial intelligence
(DAI) systems. How can a group of geographically distributed agents properly allocate a set …