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Model-checking for ability-based logics with constrained plans

Published: 07 February 2023 Publication History

Abstract

We investigate the complexity of the model-checking problem for a family of modal logics capturing the notion of "knowing how". We consider the most standard ability-based knowing how logic, for which we show that modelchecking is PSpace-complete. By contrast, a multi-agent variant based on an uncertainty relation between plans in which uncertainty is encoded by a regular language, is shown to admit a PTime model-checking problem. We extend with budgets the above-mentioned ability-logics, as done for ATL-like logics. We show that for the former logic enriched with budgets, the complexity increases to at least ExpSpace-hardness, whereas for the latter, the PTime bound is preserved. Other variant logics are discussed along the paper.

References

[1]
Alechina, N.; Bulling, N.; Demri, S.; and Logan, B. 2018. On the Complexity of Resource-Bounded Logics. Theoretical Computer Science, 750: 69-100.
[2]
Alechina, N.; Bulling, N.; Logan, B.; and Nguyen, H. 2017. The virtues of idleness: A decidable fragment of resource agent logic. Artificial Intelligence, 245: 56-85.
[3]
Alur, R.; Henzinger, T.; and Kupferman, O. 2002. Alternating-time temporal logic. Journal of the ACM, 49(5): 672-713.
[4]
Areces, C.; Fervari, R.; Saravia, A.; and Velázquez-Quesada, F. 2021. Uncertainty-Based Semantics for Multi-Agent Knowing How Logics. In TARK'21, volume 335 of EPTCS, 23-37.
[5]
Blackburn, P.; de Rijke, M.; and Venema, Y. 2001. Modal Logic. Cambridge University Press.
[6]
Bouyer, P.; Fahrenberg, U.; Larsen, K.; Markey, N.; and Srba, J. 2008. Infinite Runs in Weighted Timed Automata with Energy Constraints. In FORMATS'08, volume 5215 of LNCS, 33-47. Springer.
[7]
Bulling, N.; and Goranko, V. 2022. Combining quantitative and qualitative reasoning in concurrent multi-player games. Autonomous Agents and Multi-Agent Systems, 36(2): 1-33.
[8]
Cao, R.; and Naumov, P. 2017. Budget-Constrained Dynamics in Multiagent Systems. In IJCAI'17, 915-921. ijcai.org.
[9]
Chatterjee, K.; Doyen, L.; and Henzinger, T. 2017. The Cost of Exactness in Quantitative Reachability. In Models, Algorithms, Logics and Tools - Essays Dedicated to Kim Guld-strand Larsen on the Occasion of His 60th Birthday, volume 10460 of LNCS, 367-381. Springer.
[10]
Cormen, T.; Leiserson, C.; Rivest, R. L.; and Stein, C. 2022. Introduction to Algorithms, 4th Edition. MIT Press.
[11]
Demri, S.; Goranko, V.; and Lange, M. 2016. Temporal Logics in Computer Science. Cambridge University Press.
[12]
Fervari, R.; Herzig, A.; Li, Y.; and Wang, Y. 2017. Strategically knowing how. In IJCAI'17, 1031-1038.ijcai.org.
[13]
Galil, Z. 1976. Hierarchies of complete problems. Acta Informatica, 6: 77-88.
[14]
Herzig, A. 2015. Logics of knowledge and action: critical analysis and challenges. Autonomous Agents and Multi Agent Systems, 29(5): 719-753.
[15]
Herzig, A.; and Troquard, N. 2006. Knowing how to play: uniform choices in logics of agency. In AAMAS'06, 209-216. ACM.
[16]
Jamroga, W.; and Ågotnes, T. 2007. Constructive knowledge: what agents can achieve under imperfect information. Journal of Applied Non Classical Logics, 17(4): 423-475.
[17]
Karp, R. M.; and Miller, R. E. 1969. Parallel Program Schemata. JCSS, 3(2): 147-195.
[18]
Kozen, D. 1977. Lower Bounds for Natural Proof Systems. In FOCS'77, 254-266. IEEE Computer Society.
[19]
Li, Y. 2017. Knowing what to do: a logical approach to planning ad knowing how. Ph.D. thesis, University of Groningen.
[20]
Li, Y.; and Wang, Y. 2017. Achieving While Maintaining: - A Logic of Knowing How with Intermediate Constraints. In ICLA'17, volume 10119 of LNCS, 154-167. Springer.
[21]
Li, Y.; and Wang, Y. 2021a. Knowing How to Plan. In TARK'21, volume 335 of EPTCS, 233-247.
[22]
Li, Y.; and Wang, Y. 2021b. Planning-based knowing how: A unified approach. Artificial Intelligence, 296: 103487.
[23]
Li, Y.; Yu, Q.; and Wang, Y. 2017. More for free: a dynamic epistemic framework for conformant planning over transition systems. JLC, 27(8): 2383-2410.
[24]
Lipton, R. 1976. The Reachability Problem Requires Exponential Space. Technical Report 62, Department of Computer Science, Yale University.
[25]
Naumov, P.; and Tao, J. 2018a. Second-Order Know-How Strategies. In AAMAS'18, 390-398.
[26]
Naumov, P.; and Tao, J. 2018b. Strategic Coalitions With Perfect Recall. In AAAI'18, 4702-4709. AAAI Press.
[27]
Naumov, P.; and Tao, J. 2018c. Together we know how to achieve: An epistemic logic of know-how. Artificial Intelligence, 262: 279-300.
[28]
Rackoff, C. 1978. The covering and boundedness problems for vector addition systems. Theoretical Computer Science, 6(2): 223-231.
[29]
Savitch, W. 1970. Relationships between nondeterministic and deterministic tape complexities. JCSS, 4(2): 177-192.
[30]
Smith, D.; and Weld, D. 1998. Conformant Graphplan. In AAAI'98, 889-896. AAAI Press / The MIT Press.
[31]
van der Hoek, W.; and Lomuscio, A. 2003. Ignore at your peril - towards a logic for ignorance. In AAMAS'03, 1148-1149. ACM.
[32]
van Ditmarsch, H.; Halpern, J.; van der Hoek, W.; and Kooi, B., eds. 2015. Handbook of Epistemic Logic. College Pub.
[33]
Wang, Y. 2015. A Logic of Knowing How. In LORI'15, volume 9394 of LNCS, 392-405. Springer.
[34]
Wang, Y. 2018a. Beyond knowing that: a new generation of epistemic logics. In van Ditmarsch, H.; and Sandu, G., eds., Jaakko Hintikka on knowledge and game theoretical semantics, 499-533. Springer.
[35]
Wang, Y. 2018b. A logic of goal-directed knowing how. Synthese, 195(10): 4419-4439.

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cover image Guide Proceedings
AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence
February 2023
16496 pages
ISBN:978-1-57735-880-0

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  • Association for the Advancement of Artificial Intelligence

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AAAI Press

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Published: 07 February 2023

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