Representation and Meaning: Experiments with Information Processing Systems

Representation and Meaning: Experiments with Information Processing Systems

Representation and Meaning: Experiments with Information Processing Systems

Representation and Meaning: Experiments with Information Processing Systems

Excerpt

During the early years of research on artificial intelligence and simulation of cognitive processes, that is to say, until about 1960, most work focused on one or another of three main areas: problem solving by heuristic search methods, pattern recognition, and learning (including learning by perceptrons and other self-organizing networks). The first of these areas showed the most rapid progress, but each successful exploration revealed limitations in these early problem-solving programs, and posed new conceptual problems.

REPRESENTATION

By 1960, the rubrics "representation" and "semantics" began to be applied to two of the most prominent issues that were emerging from the research. Representation has to do with the kinds of symbol structures that are used inside a computer (or a human brain) to represent the external task situation confronting it. Most early problem-solving systems used a fixed form of problem representation, tailored to a single, specific task domain and . . .

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