Programming in Prolog (2nd ed.)
Programming in Prolog (2nd ed.)
The role of frame-based representation in reasoning
Communications of the ACM
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Prolog programming for artificial intelligence
Prolog programming for artificial intelligence
The 5th Conference on Logic programming '86
Artificial intelligence through Prolog
Artificial intelligence through Prolog
Artificial intelligence programming with Turbo Prolog
Artificial intelligence programming with Turbo Prolog
Building expert systems in Prolog
Building expert systems in Prolog
Using Prolog for building frog, a hybird knowledge representation system
New Generation Computing
Expert Systems
The FRL Manual
Integrating Multiple Paradigms within the Blackboard Framework
IEEE Transactions on Software Engineering
Knowledge representation with SOUL
Expert Systems with Applications: An International Journal
Semantic approach to knowledge processing
WSEAS Transactions on Information Science and Applications
Applying neural networks to knowledge representation and determination of its meaning
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
NIMFA - Natural language Implicit Meaning Formalization and Abstraction
Expert Systems with Applications: An International Journal
Localist approach to natural language processing
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Semantic web services with SOUL
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
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Prolog/Rex represents a powerful amalgamation of the latest techniques for knowledge representation and processing, rich in semantic features that ease the difficult task of encoding heterogeneous knowledge of real-world applications. The Prolog/Rex concept mechanism lets a user represent domain entities in terms of their structural and behavioral properties, including multiple inheritance, arbitrary user-defined relations among entities, annotated values (demons), incomplete knowledge, etc. A flexible rule language helps the knowledge engineer capture human expertise and provide flexible control of the reasoning process. Additional Prolog/Rex strength that cannot be found in any other hybrid language made on top of Prolog is language level support for keeping many potentially contradictory solutions to a problem, allowing possible solutions and their implications to be automatically generated and completely explored before they are committed. The same mechanism is used to model time-states, which are useful in planning and scheduling applications of Prolog/Rex.