Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Automatic design and implementation of language data types
SIGPLAN '87 Papers of the Symposium on Interpreters and interpretive techniques
ABE: An environment for Engineering Intelligent Systems
IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
Providing paradigm orientation without implementational handcuffs
ACM SIGART Bulletin - Special issue on implemented knowledge representation and reasoning systems
Epikit: a library of subroutines supporting declarative representations and reasoning
ACM SIGART Bulletin - Special issue on implemented knowledge representation and reasoning systems
Exploiting irrelevance reasoning to guide problem solving
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Explanation-based generalization in a logic-programming environment
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
A logical approach to reasoning by analogy
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
A declarative approach to bias in concept learning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
A declarative approach to bias in concept learning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
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MRS is a logic programming system with extensive meta-level facilities. As such it can be used to implement virtually all kinds of artificial intelligence applications in a wide variety of architectures. This guide is intended to be a comprehensive text and reference for MRS. It also attempts to explain the foundations of the logic programming approach from the ground up, and it is hoped that it will thus provide access, even for the uninitiated, to all the benefits of AI methods. The only prerequisites for understanding MRS are a passing acquaintance with LISP and an open mind.