Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach

Uprety, Sagar and Song, Dawei (2018). Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach. In: 1st Workshop on AI and Computational Psychology(CompPsy), 14 Jul 2018, Stockholm, Sweden.

Abstract

There are many examples of human decision making which cannot be modeled by classical probabilistic and logic models, on which the current AI systems are based. Hence the need for a modeling framework which can enable intelligent systems to detect and predict cognitive biases in human decisions to facilitate better human-agent interaction. We give a few examples of irrational behavior and use a generalized probabilistic model inspired by the mathematical framework of Quantum Theory to model and explain such behavior.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 57677
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  QUARTZ	Not Set	The Open University (OU)

• Extra Information
• Hosted by the IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence.
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2018 The Authors
• Related URLs
• • https://userpages.umbc.edu/~cq13453/Comp...(Other)
• Depositing User
• Sagar Uprety