Knowledge representation
Knowledge representation is a central problem in artificial intelligence.
[+] Knowledge representation languages (3 C, 27 P)
K cont.
[+] Knowledge representation software (4 C) ...
Knowledge Representation and Reasoning: ontologies, foundations of knowledge representation and reasoning, representing and reasoning about objects, relations, events, actions, time, and space; predicate logic, situation calculus, ...
Knowledge representation and management
Rule-based systems
Representing knowledge through a KBS can be handled using two kind of programming approach: Procedural and Declarative.
Knowledge Representation
The notation or formalism used for coding the knowledge to be stored in a knowledge-based system.
Rule Base ...
Knowledge Representation and Reasoning: In a reasoning problem, one has to reach a pre-defined goal state from one or more given initial states.
Knowledge Representation
Declarative Representations
Declarative representations are based on the assumption that complex entities can be described as collections of attributes and their associated values.
Knowledge representation
Main articles: knowledge representation and commonsense knowledge ...
12 Knowledge Representation
12.1 Ontological Engineering . . . . . . . . . . . . . . . . . . . . . . . . . . . 437
12.2 Categories and Objects . . . . . . . . . . . . . . . . . . . . . . . . . . . 440
12.3 Events . . . . . . . . . . . . . . . . .
Knowledge Representation: Logical, Philosophical, and Computational Foundations. By John Sowa. 2000. Pacific Grove: Brooks/Cole. "Knowledge representation is a multidisciplinary subject that applies theories and techniques from three other fields: 1.
Knowledge representation
Mapping techniques which can formalise the knowledge of the objects in a domain and how to reason in that domain in order to support automated inferencing.
Neural Networks ...
DomainIn knowledge representation, a domain is a section of the world about which we wish to
express some knowledge.
The kinship domain
we consider is the domain of family relationships, or kinship.
taxonomy in a knowledge representation system, the tree structure formed by the class-superclass relations.
Frames and Knowledge representation
Conclusion
Introduction
In the quest to create intelligent machines, ...
A central part of the common sense knowledge problem has to do with the issue of knowledge representation in artificial systems. What is the best approach to represent knowledge? Are dictionary- or encyclopedia-like entries the best approach?
FSM is an old knowledge representation and system modeling technique, and its been around for a long time, as such it is well proven even as an artificial intelligence technique, with lots of examples to learn from
FSMs are relatively flexible.
It aims to be a system that integrates the symbolic knowledge representation and inferencing strengths of an expert system and the large scale data handling abilities of a relational database i.e. storage, management and consultation.
thesis many issues related to knowledge representations. In his scheme for plausible inference, statements are not simply accepted, but are subjected to a process of "doubting" and "believing"; in effect, ...
This phase begin with the selection of the knowledge representation technique and control strategy. This is followed with the selection of a software tool that best meets the needs of the problem.
Bidirectional Search Books Brute-force clustering Depth First Search Discovery based Expert Systems Explanation-based learning Genetic Algorithms Heuristic Search heuristic search techniques History Interleaving Introduction Knowledge Representation ...
These included Edward Feigenbaum's work on expert systems; Roger Schank on language analysis; Marvin Minsky on knowledge representation; Douglas Lenat on automatic learning and nature of heuristics; David Marr on machine vision; ...
 See also: Knowledge, Artificial intelligence, AI, Expert system, Neural network
  
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