1. From Distributed Artificial Intelligence to Multi-Agent Systems

Artificial Intelligence (AI) has faced difficulties in effectively addressing and solving problems that require the pooling and exchange of multiple viewpoints, or involve distributed knowledge, processing or control. Distributed Artificial Intelligence (DAI) was born in the 1970s to simplify and render more efficient the resolution of such problems through the modular design of solutions and their distributed, cooperative execution. One of the first seminal results of this paradigm shift was the development of the Hearsay II speech recognition system, which requires a combination of specialized knowledge...