Large-scale concurrent computing in artificial intelligence research
L. Gasser · 1988
Research in AI is slowly maturing, and body of accepted techniques for reasoning and for representing knowledge in simple, circumscribed domains now exists. But with the maturity of AI has come a growing awareness of the severe limitations of current techniques for constructing more complex problem solving or interpretation systems. We currently have inadequate means to gather, represent, store, organize, access, and manipulate the huge collections of knowledge required for complex problem solving. Existing systems can't reconfigure themselves in changing situations, nor can they incrementally adjust to new knowledge or new techniques. Large scale problem solvers (e.g. factory automation systems) cannot in principle completely model the world in which they exist, and must face problems of inconsistency, asynchrony, control and geographic distribution, etc. — they will have to work in “open systems.”