Workshop 'Computational Complexity of Decision Making'

About

A central aim of cognitive science is to understand the fundamental mechanisms that enable humans (and animals) to navigate and make sense of complex environments. As humans possess limited cognitive resources for processing vast amounts of information, understanding how humans perform complex cognitive tasks requires comprehending the underlying factors that drive information processing demands and how these affect behaviour.

The workshop "Computational Complexity of Decision-Making" (CCDM) aims to unite experts from a range of disciplines who share a unified objective: to understand the influence of information processing demands on cognition and decision-making. Our primary goal is to foster advancements in this field and speed up the path towards new discoveries.

The single-tracked, in-person workshop will facilitate a dialogue across multiple disciplines, including economics, cognitive science, computer science, psychology, and neuroscience, with the aim of achieving cross-pollination of ideas, promoting the integration of different viewpoints, and contributing to the development of mechanisms, policies, and tools that can enhance decision-making capabilities.

The workshop's objectives are multifaceted, aiming to consolidate a direction for the research program, foster interdisciplinary collaborations, increase awareness of ongoing research, and heighten understanding of the topic's importance. We welcome contributions from all fields and methodological approaches, including, but not limited to:

• Theoretical advances incorporating tractability into models of cognition and economic theory.
• Empirical research on the effects of information processing demands on human and animal behaviour.
• Contributions to understanding the neural underpinnings of problem-solving and deliberation in relation to computational complexity.
• Theoretical and empirical characterisation of task complexity and its effect on performance and strategy use.
• Advances in information processing models and schemas such as cognitive load theory.

For additional information, please contact us at juan.franco@unimelb.edu.au.

Program Committee

• 
  Peter Bossaerts, University of Cambridge
• 
  Pablo Franco, University of Melbourne
• 
  Carsten Murawski, University of Melbourne
• 
  Ryan Oprea, UC Santa Barbara
• 
  William Stauffer, University of Pittsburgh

Keynote Speakers

• 
  Peter Bossaerts, Leverhulme International Professor of Neuroeconomics, University of Cambridge
• 
  Itzhak Gilboa, AXA Professor of Economics and Decision Sciences, HEC Paris
• 
  Iris van Rooij, Professor of Computational Cognitive Science, Radboud University Nijmegen
• 
  William Stauffer, Assistant Professor of Neuroscience, University of Pittsburgh

Abstract Submission

We welcome submission of abstracts from a variety of disciplines, including economics, cognitive science, theoretical computer science, psychology, and neuroscience. We encourage submissions from early-career researchers and individuals from diverse backgrounds, experiences, and underrepresented groups.

A limited number of travel grants (up to AUD 2,000) are available.

To attend the conference, please submit an abstract using the link below. Registration will be automatic upon acceptance of your abstract.

The deadline for submission is 30 September 2024.

Submit abstract

Schedule

All talks listed in Australian Eastern Standard Time (AEST). Schedule subject to change.