ADAPTIVE CONTROL OF THOUGHT THEORY/ MODEL.
This advanced computer simulation version of a "network" model of information processing, called Adaptive Control of Thought (ACT), or Adaptive Character of Thought-Rational (ACT-R), this theory model, was proposed by the Canadian psychologist John Robert Anderson (1947- ). The ACT model consists of two separate long-term memory stores declarative memory (a semantic network of interconnected concepts represented by "nodes") that contains "declarative knowledge" or the active part of the declarative memory system that essentially defines "working memory" and procedural memory (consisting of a "production system") that contains "procedural knowledge" or information about how to carry out a series of operations in some task.
Declarative memory refers to knowing that (eg. as regards some factual information about the world), whereas procedural memory refers to knowing how (e.g.. as regards the correct sequence of movements to accomplish a particular job). The ACT theory model is referred to, also, as the ACT-super (*) theory which states that all cognitive behavior is controlled by "production rules" which specify the steps of cognition. The ACT theory is an "elaborated theory" of the earlier framework by A Newell and HA. Simon (1972) dealing with problem solving skills and behavior. In another of Anderson's computer simulation programs - developed in collaboration with the American psychologist Gordon Bower (1932- ) - called Human Associative Memory (HAM), and based on their "free recall in an associative net" (called FRAN) there is an account of a complete model of the Structures and processes of human memory, having as its central construct a prepositional network representation. Where HAM concentrates on a theory of the declarative system in knowledge. ACT employs a production system in order to interpret a propositional network ("production systems" are an analogy for condition-action pans that theoretically underlie human cognition)
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