Procedural knowledge. Proceedings of the IEEE 74(10):1383-1398, IEEE Press. Georgeff, Michael P.; Ingrand, Francois Felix. "Research on procedural reasoning systems" Final Report - Phase 1, Artificial Intelligence Center, SRI International, 1988.
Procedural Language The traditional programming that is based on algorithms or a logical step-by-step process for solving a problem. Proposition ...
procedural representation representation of knowledge by means of procedures that can perform skills, but usually cannot be inspected or reasoned about. cf. declarative representation.
The Procedural Realm: How does one make a telephone call? We could represent this in terms of a script in which certain actions are specified, but others require you to improvise.
Procedural learning Learning to perform new motor behaviors, or to improve the performance of existing behaviors. Procedural memory ...
When we use procedural programming, the algorithm of prime factor is as follow Input N p = 2 ...
14. Winograd, "A Procedural Model of Language Understanding", in Computer Models of Thought and Language, p. 170, cited in Hofstadter, Goedel, Escher, Bach ...
If such an approach is to be successful in producing human-like intelligence then it is necessary to translate often implicit or procedural knowledge (i.e. knowledge and skills which are not readily accessible to conscious awareness) possessed by ...
procedural environments, flexible graphics and accurate physics all contribute to the illusion. This is great for the gamer, but can be an interesting challenge for the AI designer. Gone are the days of simple cardinal movement in small Pacman mazes.
Representing knowledge through a KBS can be handled using two kind of programming approach: Procedural and Declarative.
"To build systems as resourceful and adaptive as people, we must develop cognitive architectures that support great procedural and representational diversity.
the NN is able to perform much better than any procedural code that i could have written to perform the same task ... and that would require alot of code that i dont ever want to write.
This includes procedural memory -- for example, the ability to drive a car -- and episodic memory, such as your skiing trip last December. Memories could be deleted, added, or swapped between persons.
Programming in Prolog is very different from programming in a procedural language. In Prolog you supply a database of facts and rules; you can then perform queries on the database.
Rather than the procedural way of programming, it draws on inferences and rules to guide its actions. Expert systems, intelligent agents and natural language search are examples of the use of AI techniques in knowledge management.
What are the underlying mecanisms that permit us to link visual information to procedural memory, or declarative semantic memory. Could langage/sound encode more information, or give access to exclusive information?
Thus, CTA focuses on mental activities that cannot be observed and is in contrast to behavioral task analysis that breaks the task down into observable, procedural steps. CTA is most useful for highly complex tasks with few observable behaviors.
Particular emphasis is placed on knowledge representation schemes - production rules, structured objects, and procedural deduction - and their properties are explored and analysed in some detail.
Often the expert knowledge area is "fuzzy" in nature and contains a great deal of procedural knowledge (knowledge of how to do things as opposed to declarative, or fact based knowledge) so the knowledge engineer must be an expert in Knowledge ...
Wikibooks has a book on the topic of C Programming The C programming language (often, just C) is a general-purpose, procedural, ...
See also: Artificial intelligence, Knowledge, AI, Agent, Planning
 
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