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10 - 12 August 2019, 5th Workshop on Bridging the Gap between Human and Automated Reasoning, Macau, China

Date: 10 - 12 August 2019
Location: Macau, China
Deadline: Friday 12 April 2019

This is the fifth workshop in a series of successful Bridging the Gap Between Human and Automated Reasoning workshops. The workshop will be located at the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) at Macao, China. The Bridging workshop is supported by IFIP TC12.

Reasoning is a core ability in human cognition. There are a lot of findings in cognitive science research which are based on experimental data about reasoning tasks, inspiring a shift from propositional logic and the assumption of monotonicity in human reasoning towards other reasoning approaches. This includes but is not limited to models using probabilistic approaches, mental models, or non-monotonic logics. Automated deduction, on the other hand, is mainly focusing on the automated proof search in logical calculi. Recently a coupling of the areas of cognitive science and automated reasoning is addressed in several approaches. A core goal of Bridging-the-gap-Workshops is to make results from psychology, cognitive science, and AI accessible to each other. The goal is to develop systems that can adapt themselves to an individuals' reasoning process and that such systems follow the principle of explainable AI to ensure trustfulness and to support the integration of results from other fields.

Topics of interest include, but are not limited to the following:

- limits and differences between automated and human reasoning - psychology of deduction and common sense reasoning - logics modeling human reasoning - non-monotonic, defeasible, and classical reasoning - benchmark problems relevant in both fields - approaches to tackle benchmark problems like the Winograd Schema Challenge or the COPA challenge - predicting an individual reasoners response (see

This year's Bridging workshop will accept papers and submissions to the PRECORE challenge:

Papers, including the description of work in progress, are welcome and should be formatted according to the Springer LNCS guidelines. The length should not exceed 15 pages. All papers must be submitted in PDF. Formatting instructions and the LNCS style files can be obtained at The EasyChair submission site is available at:

The PRECORE challenge is based on CCOBRA (https: //, a Python framework for the behavioral analysis of reasoning models. The framework does not pose restrictions with respect to formalisms as long as individual predictions to syllogistic problems can be generated. Final model submissions are due on May 15th, 11:59 UTC-12 as a zip-archive. Please describe your model on a conceptual level on two pages in the workshop template. Details on the submission of the zip-archive can be found at:

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