A Shimojima

B Beckert

F Baader

G Stapleton

J Barwise

J Howse

LC Paulson

M Jamnik

M Urbas

P Rodgers

S Linker

Y Sato

Z Shams

High-tech systems are ubiquitous and often safety and securitycritical: reasoning about their correctness is paramount. Thus, precise modelling and formal reasoning are necessary in order to convey knowledge unambiguously and accurately. Whilst mathematical modelling adds great rigour, it is opaque to many stakeholders which leads to errors in data handling, delays in product release, for example. This is a major motivation for the development of diagrammatic approaches to formalisation and reasoning about models of knowledge. In this paper, we present an interactive theorem prover, called iCon, for a highly expressive diagrammatic logic that is capable of modelling OWL 2 ontologies and, thus, has practical relevance. Significantly, this work is the first to design diagrammatic inference rules using insights into what humans nd accessible.Specifically, we conducted an experiment about relative cognitive benefits of primitive (small step) and derived (big step) inferences, and use the results to guide the implementation of inference rules in iCon

Shams, Zohreh

Sato, Yuri

Jamnik, Mateja

Stapleton, Gem

University of Brighton Research Portal

Accessible Reasoning with Diagrams: from Cognition to Automation

Zohreh Shams

Yuri Sato

Mateja Jamnik

Gem Stapleton

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Accessible Reasoning with Diagrams: From Cognition to Automation

https://cris.brighton.ac.uk/ws/files/497073/DiagramsARDPaper.pdf

Accessible Reasoning with Diagrams: from Cognition to Automation

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University of Brighton Research Portal

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