Workshop WS-C: DKB-KIK-2017

Joint workshop of the GI special interest groups Wissensrepräsentation und Schließen and Kognition in conjunction with KI 2017 in Dortmund:

• 6th Workshop on Dynamics of Knowledge and Belief and 5th Workshop KI & Kognition

• Formal and Cognitive Reasoning & The Syllogistic Reasoning Challenge

Aims and Scope

Information for real life AI applications is usually pervaded by uncertainty and subject to change, and thus demands for non-classical reasoning approaches. At the same time, psychological findings indicate that human reasoning cannot be completely described by classical logical systems. Explanations may be incomplete knowledge, incorrect beliefs, or inconsistencies.

Knowledge representation offers a rich palette of methods for uncertain reasoning both to describe human reasoning and to model AI approaches. Its many facets like qualitative vs. quantitative reasoning, defeasible and analogical reasoning, argumentation and negotiation in multi-agent systems, causal reasoning for action and planning, as well as nonmonotonicity and belief revision, among many others, have become very active fields of research. Beyond computational aspects, these methods aim to reflect the rich variety of human reasoning in uncertain and dynamic environments.

The aim of this series of workshops is to address recent challenges and to present novel approaches to uncertain reasoning and belief change in their broad senses, and in particular provide a forum for research work linking different paradigms of reasoning. We put a special focus on papers from both fields that provide a base for connecting formal-logical models of knowledge representation and cognitive models of reasoning, addressing formal as well as experimental or heuristic issues.

Syllogistic Reasoning Challenge

At this year's KI conference in Dortmund we plan a challenge on cognitive computational modeling of human syllogistic reasoning. The ultimate goal of cognitive modeling is to explain underlying cognitive processes while approximating the answer distributions generated by humans. The competition is necessary as so far any existing psychological theory is deviating significantly from the data. More information can be found here.

Topics of Interest