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<pre>
Preface

This volume contains the papers presented at Bridging-15: Bridging the Gap
between Human and Automated Reasoning held on August 1st, 2015 in Berlin
in conjunction with CADE-25.
    Human reasoning or the psychology of deduction is well researched in cog-
nitive psychology and in cognitive science. There are a lot of findings which are
based on experimental data about reasoning tasks, among others models for the
Wason selection task or the suppression task discussed by Byrne and others. This
research is supported also by brain researchers, who aim at localizing reasoning
processes within the brain. Automated deduction, on the other hand, is mainly
focusing on the automated proof search in logical calculi. And indeed there is
tremendous success during the last decades. Recently a coupling of the areas of
cognitive science and automated reasoning is addressed in several approaches.
For example, there is increasing interest in modeling human reasoning within
automated reasoning systems including modeling with answer set programming,
deontic logic or abductive logic programming. There are also various approaches
within AI research.
    This workshop is intended to get an overview of existing approaches and
makes a step towards a cooperation between computational logic and cognitive
science.
    In total, seven papers were submitted to the workshop. From these, five have
been accepted for presentation. The papers present the following strands: logic
programming approaches to model human reasoning; formalization of syllogisms
in human reasoning; computational models for human reasoning; benchmarks
for commonsense reasoning; interactive theorem proving.
    Apart from the accepted papers, the workshop program includes one keynote
presentation by Marco Ragni. He can be seen as a representative of interdisci-
plinary research – holding two PhDs, one in computer science and one in cogni-
tive science. His talk on Three-levels of Analysis: Connecting cognitive theories
of reasoning with empirical results and cognitive modeling certainly can be un-
derstood as a bridge connecting various disciplines.
    Finally, the Bridging-15 organizers seize the opportunity to thank the Pro-
gram Committee members for their most valuable comments on the submissions,
the authors for inspiring papers, the audience for their interest in this workshop,
the local organizers from the CADE-25 team, and the Workshops Chair.
    We hope that in the years to come, Bridging will become a platform for di-
alogue and interaction for researchers in both cognitive science and automated
reasoning and will e↵ectively help to bridge the gap between human and auto-
mated reasoning.



July 8, 2015                                                       Ulrich Furbach
Koblenz                                                            Claudia Schon



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