Edinburgh Research Explorer

Cooperating Reasoning Processes: More than Just the Sum of their Parts

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related Edinburgh Organisations

Access status

Open

Documents

http://www.ijcai.org/papers07/Papers/IJCAI07-001.pdf
Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Artificial Intelligence 2007
PublisherIJCAI Inc
Pages2-11
Volume1
StatePublished - Jan 2007

Abstract

Using the achievements of my research group over the last 30+ years, I provide evidence to support the following hypothesis: By complementing each other, cooperating reasoning process can achieve much more than they could if they only acted individually. Most of the work of my group has been on processes for mathematical reasoning and its applications, e.g. to formal methods. The reasoning processes we have studied include: Proof Search: by meta-level inference, proof planning, abstraction, analogy, symmetry, and
reasoning with diagrams. Representation Discovery, Formation and Evolution:
by analysing, diagnosing and repairing failed proof and planning attempts, forming and repairing new concepts and conjectures, and forming logical representations of informally stated problems. Other: learning of new proof methods from example proofs, finding counter-examples, reasoning under uncertainty, the presentation of and interaction with proofs, the automation of informal argument. In particular, we have studied how these different kinds of process can complement each other, and cooperate to achieve complex goals.
We have applied this work to the following areas: proof by mathematical induction and co-induction; analysis; equation solving, mechanics problems; the building of ecological models; the synthesis, verification, transformation and editing of both hardware and software, including logic, functional and imperative programs, security protocols and process algebras; the configuration of hardware; game playing and cognitive modelling.

Research areas

  • Meta-level reasoning

Download statistics

No data available

ID: 403001