KR2023Proceedings of the 20th International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning

Rhodes, Greece. September 2-8, 2023.

Edited by

ISSN: 2334-1033
ISBN: 978-1-956792-02-7

Sponsored by
Published by

Copyright © 2023 International Joint Conferences on Artificial Intelligence Organization

Group Responsibility for Exceeding Risk Threshold

  1. Maksim Gladyshev(Utrecht University)
  2. Natasha Alechina(Utrecht University)
  3. Mehdi Dastani(Utrecht University)
  4. Dragan Doder(Utrecht University)

Keywords

  1. Reasoning about actions and change, action languages
  2. KR and autonomous agents and multi-agent systems
  3. Probabilistic reasoning and learning
  4. Philosophical foundations of KR

Abstract

The need for tools and techniques to formally analyze and trace the responsibility for unsafe outcomes to decision-making actors is urgent. Existing formal approaches assume that the unsafe outcomes for which actors can be held responsible are actually realized. This paper considers a broader notion of responsibility where unsafe outcomes are not necessarily realized, but their probabilities are unacceptably high. We present a logic combining strategic, probabilistic and temporal primitives designed to express concepts such as the risk of an undesirable outcome and being responsible for exceeding a risk threshold. We demonstrate that the proposed logic is complete and decidable.