STMM: A Set Theory for Mechanized Mathematics
Journal of Automated Reasoning
An Overview of a Formal Framework for Managing Mathematics
Annals of Mathematics and Artificial Intelligence
From Integrated Reasoning Specialists to ``Plug-and-Play'' Reasoning Components
AISC '98 Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation
Specification and Integration of Theorem Provers and Computer Algebra Systems
AISC '98 Proceedings of the International Conference on Artificial Intelligence and Symbolic Computation
System Description: The MathWeb Software Bus for Distributed Mathematical Reasoning
CADE-18 Proceedings of the 18th International Conference on Automated Deduction
Calculemus '07 / MKM '07 Proceedings of the 14th symposium on Towards Mechanized Mathematical Assistants: 6th International Conference
Automatic construction and verification of isotopy invariants
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Calculemus '07 / MKM '07 Proceedings of the 14th symposium on Towards Mechanized Mathematical Assistants: 6th International Conference
Proceedings of the 9th AISC international conference, the 15th Calculemas symposium, and the 7th international MKM conference on Intelligent Computer Mathematics
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In previous papers we described the implementation of a system which combines mathematical object generation, transformation and filtering, conjecture generation, proving and disproving for mathematical discovery in non-associative algebra. While the system has generated novel, fully verified theorems, their construction involved a lot of ad hoc communication between disparate systems. In this paper we carefully reconstruct a specification of a sub-process of the original system in a framework for trustable communication between mathematics systems put forth by us. It employs the concept of biform theories that enables the combined formalisation of the axiomatic and algorithmic theories behind the generation process. This allows us to gain a much better understanding of the original system, and exposes clear generalisation opportunities.