TY - GEN
T1 - Towards explainable inference about object motion using qualitative reasoning
AU - Ge, Xiaoyu
AU - Renz, Jochen
AU - Hua, Hua
N1 - Publisher Copyright:
Copyright © 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2018
Y1 - 2018
N2 - The capability of making explainable inferences regarding physical processes has long been desired. One fundamental physical process is object motion. Inferring what causes the motion of a group of objects can even be a challenging task for experts, e.g., in forensic science. Most of the work in the literature rely on physics simulation to draw such inferences. The simulation requires a precise model of the underlying domain to work well and is essentially a black-box from which one can hardly obtain any useful explanation. By contrast, qualitative reasoning methods have the advantage in making transparent inferences with ambiguous information, which makes it suitable for this task. However, there has been no suitable qualitative theory proposed for object motion in three-dimensional space. We take this challenge and develop a qualitative theory for the motion of rigid objects. Based on this theory, we develop a reasoning method to solve a very interesting problem: Assuming there are several objects that were initially at rest and now have started to move. We want to infer what action causes the movement of these objects.
AB - The capability of making explainable inferences regarding physical processes has long been desired. One fundamental physical process is object motion. Inferring what causes the motion of a group of objects can even be a challenging task for experts, e.g., in forensic science. Most of the work in the literature rely on physics simulation to draw such inferences. The simulation requires a precise model of the underlying domain to work well and is essentially a black-box from which one can hardly obtain any useful explanation. By contrast, qualitative reasoning methods have the advantage in making transparent inferences with ambiguous information, which makes it suitable for this task. However, there has been no suitable qualitative theory proposed for object motion in three-dimensional space. We take this challenge and develop a qualitative theory for the motion of rigid objects. Based on this theory, we develop a reasoning method to solve a very interesting problem: Assuming there are several objects that were initially at rest and now have started to move. We want to infer what action causes the movement of these objects.
UR - http://www.scopus.com/inward/record.url?scp=85088245334&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Principles of Knowledge Representation and Reasoning: Proceedings of the 16th International Conference, KR 2018
SP - 641
EP - 642
BT - Principles of Knowledge Representation and Reasoning
A2 - Thielscher, Michael
A2 - Toni, Francesca
A2 - Wolter, Frank
PB - AAAI Press
T2 - 16th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2018
Y2 - 30 October 2018 through 2 November 2018
ER -