Abstract
Action theories are an important field of knowledge representation for reasoning about change and causality in dynamic domains. In practical implementations agents often have incomplete knowledge about the environment and need to acquire information at runtime through sensing, the basic ontology of action theories needs to be extended with epistemic notions. This paper presents a production system that can perform online causal, temporal and epistemic reasoning based on the Event Calculus and on an epistemic extension of the latter. The framework implements the declarative semantics of the underlying logic theories in a forward-chaining rule-based system. This way, it combines the capacity of highly expressive formalisms to represent a multitude of commonsense phenomena with the efficiency of rule-based reasoning systems, which typically lack real semantics and high-level structures.
This work is partially supported by the ITEA2 09031 A2Nets and 10035 PREDYKOT projects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Levesque, H., Reiter, R.: High-level Robotic Control: Beyond Planning. A Position Paper. In: AIII 1998 Spring Symposium: Integrating Robotics Research: Taking the Next Big Leap (1998)
Van Harmelen, F., Lifschitz, V., Porter, B.: Handbook of Knowledge Representation. Elsevier Science, San Diego (2007)
Scherl, R.B., Levesque, H.J.: Knowledge, action, and the frame problem. Artificial Intelligence 144(1-2), 1–39 (2003)
Thielscher, M.: Representing the Knowledge of a Robot. In: KR 2000: Principles of Knowledge Representation and Reasoning, pp. 109–120 (2000)
Lobo, J., Mendez, G., Taylor, S.R.: Knowledge and the action description language A. Theory and Practice of Logic Programming 1(2), 129–184 (2001)
Patkos, T., Plexousakis, D.: Reasoning with Knowledge, Action and Time in Dynamic and Uncertain Domains. In: Proceedings of the 21st International Joint Conference on Artifical Intelligence, IJCAI 2009, pp. 885–890 (2009)
Chesani, F., Mello, P., Montali, M., Torroni, P.: A logic-based, reactive calculus of events. Fundamenta Informaticae 105, 135–161 (2010)
Kowalski, R., Sergot, M.: A Logic-based Calculus of Events. New Generation Computing 4(1), 67–95 (1986)
Mueller, E.: Commonsense Reasoning, 1st edn. Morgan Kaufmann (2006)
Patkos, T., Plexousakis, D.: Efficient epistemic reasoning in partially observable dynamic domains using hidden causal dependencies. In: NRAC 2011 - 9th International Workshop on Non-Monotonic Reasoning, Action and Change, pp. 55–62 (2011)
Chittaro, L., Montanari, A.: Efficient Temporal Reasoning in the Cached Event Calculus. Computational Intelligence 12, 359–382 (1996)
Dimopoulos, Y., Kakas, A.C., Michael, L.: Reasoning About Actions and Change in Answer Set Programming. In: Lifschitz, V., Niemelä, I. (eds.) LPNMR 2004. LNCS (LNAI), vol. 2923, pp. 61–73. Springer, Heidelberg (2004)
Riboni, D., Bettini, C.: Owl 2 modeling and reasoning with complex human activities. Pervasive and Mobile Computing 7, 379–395 (2011)
Chen, L., Nugent, C., Mulvenna, M., Finlay, D., Hong, X., Poland, M.: A Logical Framework for Behaviour Reasoning and Assistance in a Smart Home. International Journal of Assistive Robotics and Mechatronics 9 (2008)
Sadri, F.: Intention recognition with event calculus graphs. In: Web Intelligence and Intelligent Agent Technology, pp. 386–391 (2010)
Kunze, L., Dolha, M.E., Beetz, M.: Logic programming with simulation-based temporal projection for everyday robot object manipulation. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), pp. 3172–3178 (2011)
Patkos, T., Plexousakis, D.: Epistemic reasoning for ambient intelligence. In: 3rd International Conference on Agents and Artificial Intelligence (ICAART), pp. 242–248 (2011)
Kowalski, R., Sadri, F.: An Agent Language with Destructive Assignment and Model-Theoretic Semantics. In: Dix, J., Leite, J., Governatori, G., Jamroga, W. (eds.) CLIMA XI. LNCS, vol. 6245, pp. 200–218. Springer, Heidelberg (2010)
Shanahan, M.: The ramification problem in the event calculus. In: 16th International Joint Conference on Artificial Intelligence (IJCAI), pp. 140–146 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Patkos, T., Chibani, A., Plexousakis, D., Amirat, Y. (2012). A Production Rule-Based Framework for Causal and Epistemic Reasoning. In: Bikakis, A., Giurca, A. (eds) Rules on the Web: Research and Applications. RuleML 2012. Lecture Notes in Computer Science, vol 7438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32689-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-32689-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32688-2
Online ISBN: 978-3-642-32689-9
eBook Packages: Computer ScienceComputer Science (R0)