Abstract
FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledge. The mathematical foundations of FLUX are given by the fluent calculus, which provides a solution to the fundamental frame problem in classical logic. We show how FLUX can be readily used as a platform for specifying and running a system of cooperating FLUX agents for solving the Gold Mining Problem.
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References
Lespérance, Y., Levesque, H., et al.: A logical approach to high-level robot programming—a progress report. In: Kuipers, B. (ed.) Control of the Physical World by Intelligent Agents, Papers from the AAAI Fall Symposium, New Orleans, LA, pp. 109–119. AAAI Press, Menlo Park (1994)
Thielscher, M.: From situation calculus to fluent calculus: State update axioms as a solution to the inferential frame problem. Artificial Intelligence 111, 277–299 (1999)
McCarthy, J.: Situations and Actions and Causal Laws. Stanford Artificial Intelligence Project, Memo 2, Stanford University, CA (1963)
Reiter, R.: Knowledge in Action. MIT Press, Cambridge (2001)
McCarthy, J., Hayes, P.J.: Some philosophical problems from the standpoint of artificial intelligence. Machine Intelligence 4, 463–502 (1969)
Thielscher, M.: FLUX: A logic programming method for reasoning agents. Theory and Practice of Logic Programming 5, 533–565 (2005)
Thielscher, M.: Reasoning Robots: The Art and Science of Programming Robotic Agents. Applied Logic Series, vol. 33. Kluwer Academic Publishers, Dordrecht (2005)
Thielscher, M.: Representing the knowledge of a robot. In: Proceedings of KR, pp. 109–120 (2000)
Thielscher, M.: Handling implicational and universal quantification constraints in flux. In: van Beek, P. (ed.) CP 2005. LNCS, vol. 3709, pp. 667–681. Springer, Heidelberg (2005)
Frühwirth, T.: Theory and practice of constraint handling rules. Journal of Logic Programming 37, 95–138 (1998)
Narasamdya, I., Martin, Y., Thielscher, M.: Knowledge of Other Agents and Communicative Actions in the Fluent Calculus. In: Proceedings of KR, pp. 623–633 (2004)
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Schiffel, S., Thielscher, M. (2007). Multi-Agent FLUX for the Gold Mining Domain (System Description). In: Inoue, K., Satoh, K., Toni, F. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2006. Lecture Notes in Computer Science(), vol 4371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69619-3_17
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DOI: https://doi.org/10.1007/978-3-540-69619-3_17
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