Abstract
The use of action models for the analysis of control programs can be useful for two reasons. First, it promises to deliver better tools for the simulation, verification and synthesis of control programs, and second it presents challenging problems for theories of action and knowledge. In this paper we use a theory of actions and knowledge developed elsewhere to analyze control programs for navigation tasks. We model both physical and sensing actions and establish conditions under which different control programs are executable and lead the agent to the intended goal.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
F. Bacchus, J. Halpern, and H. Levesque. Reasoning about noisy sensors in the situation calculus. In Proceedings IJCAI-95, pages 1933–1940, 1995. 194
C. Baral and T. Son. Relating theories of actions and reactive robot control. In Proc. AAAI 96 Workshop on Theories of action, Planning and Robot Control: Bridging the gap, 1996. 184, 194
Blind. A model for actions knowledge and contingent plans. submitted to AAAI-97, 1997. 184, 188
R. Brooks. The behavior language user’s guide. Technical report, AI Lab., MIT, 1989. 183
R.A. Brooks. The behavior language; user’s guide. Technical report, MIT AI Lab, 1990. 184
R.E. Fikes and N. Nilsson. STRIPS: a new approach to the application of theorem proving to problem solving. Artificial Intelligence, 2:189–208, 1971. 187
H. Geffner and J. Wainer. Towards a practial model of actions and knowledge. Submitted, 1998. 188, 194
M. Gelfond and V. Lifschitz. Representing action and change by logic programs. J. of Logic Programming, 17:301–322, 1993. 183, 184
J.C. Latombe. Robot Motion Planning. KAP, 1991. 189
Y. Lesperance and H. Levesque. Indexical knowledge and robot action. Artificial Intelligence, 73:69–116, 1995. 189
H.J. Levesque. What is planning in the presence of sensing? In Proc. AAAI 96 Workshop on Theories of action, Planning and Robot Control: Bridging the gap, 1996. 184, 194
R. Moore. A formal theory of knowledge and action. In J. Hobbs and R. Moore, editors, Formal Theories of the Commonsense World. Ablex Publishing Co., Norwood, N.J., 1985. 184, 188
N. Nilsson. Teleo-reactive programs for agent control. JAIR, 1:139–158, 1994. 184, 193
N. Nilsson. Teleoreactive programs for agent control. Journal of Artificial Intelligence Research, 1:139–158, 1994. 183, 193
R. Scherl and H. Levesque. The frame problem and knowledge producing actions. In Proceedings of AAAI-93, pages 689–695. MIT Press, 1993. 184, 188, 190
M. Shanahan. Noise and the commonsense informatic situation for mobile robot. In Proceedings AAAI-96, pages 1098–1103, 1996. 194
Y. Shoham. Agent oriented programming. Technical report, Robotics Lab, Computer Science Department, Stanford University, 1993. 184
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ramírez, J.M. (1998). Analysis of Agent Programs Using Action Models. In: Coelho, H. (eds) Progress in Artificial Intelligence — IBERAMIA 98. IBERAMIA 1998. Lecture Notes in Computer Science(), vol 1484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49795-1_16
Download citation
DOI: https://doi.org/10.1007/3-540-49795-1_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64992-2
Online ISBN: 978-3-540-49795-0
eBook Packages: Springer Book Archive