Conference Agenda

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Session Overview
Symposium 2: Flexible Representations for Human(-like) Problem Solving
Monday, 05/Sept/2022:
3:00pm - 4:40pm

Session Chair: Benjamin Angerer
Session Chair: Thea Behrens
Location: Lecture Room 1: KG I, HS 1199

Session Abstract

The challenges of problem solving do not exclusively lie in how to perform heuristic search, but they begin with how we understand a given task: How to cognitively represent the task domain, its components, and the (sub-)goals an agent tries to achieve can determine how quickly progress towards a solution is being made, whether advanced strategies can be discovered, and sometimes even whether a solution can be found at all.

Especially for more complex task domains, there can be a wide variety of potential representations, and it might even be beneficial to make simultaneous use of several ones, or to change them during the problem solving process. While this challenge of constructing and changing representations has been acknowledged early on in problem solving research, for the most part it has been sidestepped by focussing on simple, well-defined problems whose representation is almost fully determined by the task instructions. Thus, the established theory of problem solving as heuristic search in problem spaces has little to say about these issues.

However, over time there have been many developments in related fields which might play a role in addressing this impasse, e.g. the mechanisms of analogy-making, metaphor use, and explanation, the contribution of affective, bodily and environmental factors to cognitive processes, and the development of more complex and ecologically valid experimental tasks eliciting a broader range of behaviour. Yet, so far few of these research fields have integrated their insights into a common problem solving theory, leaving the issues of representation still largely unaddressed.

In this symposium, we bring together researchers working on insight, metaphors, strategy discovery, and explainable AI in order to reflect on the current and future state of problem solving theory and research with respect to understanding the mechanisms of flexible and dynamic representations in humans, artificial systems, and their interaction.

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3:00pm - 3:20pm

Strategies and Representations for Solving Sudokus

Thea Behrens1,2, Frank Jäkel1,2

1Centre for Cognitive Science, TU Darmstadt; 2Institute for Psychology, TU Darmstadt

3:20pm - 3:40pm

Context-aware XAI Methods for Joint Human-AI Problem Solving

Bettina Finzel, Ute Schmid

Cognitive Systems, University of Bamberg, Germany

3:40pm - 4:00pm

Patterns of representational change in problem solving of magic tricks

Amory H. Danek1, Joshua Williams2, Jennifer Wiley2

1Universität Heidelberg, Germany; 2University of Illinois at Chicago, USA

4:00pm - 4:20pm

Where do problem spaces come from? On metaphors and representational change

Benjamin Angerer

University of Osnabrück, Germany