Abstract
This paper elaborates and analyzes a general discrete non-stationary probabilistic model for the interaction of an agent with a counteracting layered network environment. The proposed model is represented as a composition of two probabilistic finite automata with a variable structure. This composition of automata is a two-person game in which the player that makes a move inflicts damage on the opponent.
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References
C. Hewitt, “PLANNER: A language for proving theorems in robots,” in: Proc. 1st Intern. Joint Conf. on AI (IJCAI-69), Washington (1969), pp. 295–301.
C. Hewitt, P. Bishop, and R. Steiger, “A universal modular ACTOR formalism for artificial intelligence,” in: Proc. 3rd Intern. Joint Conf. on AI (IJCAI-73), Stanford (1973), pp. 235–245.
M. L. Tsetlin, Investigations on the Automata Theory and Modeling of Biological Systems [in Russian], Nauka, Moscow (1969).
L. Vogel, A. Owens, and M. Walsh, Artificial Intelligence and Evolutionary Modeling [Russian translation], Mir, Moscow (1969).
V. I. Varshavskii, Collective Behavior of Automata [in Russian], Nauka, Moscow (1973).
V. G. Sragovich, Theory of Adaptive Systems [in Russian], Nauka, Moscow (1976).
D. B. Lenat, “On automated scientific theory formation: A case study using the AM program,” Machine Intelligence, 9, 251–256 (1977).
V. R. Lesser and J. C. Wileden, “Issues in the design of tools for distributed software system development,” in: W. E. Riddle and R. Fairley (eds.), Software Development Tools, Springer (1980), pp. 1104–1113.
Y. Shoham, “Agent-oriented programming,” Artificial Intelligence, 60, No. 1, 51–92 (1993).
G. Vogiatzis, I. MacGillivray, and M. Chli, “A probabilistic model for trust and reputation,” in: Proc. 9th Intern. Conf. on Autonomous Agents and Multiagent Systems (2010), pp. 225–232.
M. A. Kondratyev, “Forecasting methods and models of disease spread,” Computer Research and Modeling, No. 5, 863–882 (2013).
A. V. Timofeev and A. V. Syrtzev, Models and Methods for Data Flows Routing in Dynamical Telecommunication Systems [in Russian], New Technologies, Moscow (2005).
N. Alon, M. Feldman, A. D. Procaccia, and M. Tennenholtz, “A note on competitive diffusion through social networks,” Information Processing Letters, No. 6, 221–225 (2010).
Formal Approaches to Agent-Based Systems, Lecture Notes in Artificial Intelligence, 3228, Springer, Berlin-Heidelberg (2005).
P. Fraigniaud, D. Ilcinkas, G. Peer, et al., “Graph exploration by a finite automaton,” Theor. Comput. Sci., 345, Nos. 2–3, 331–344 (2005).
E. Kranakis, D. Krizanc, and S. Rajsbaum, “Mobile agent rendezvous: A survey,” LNCS, 4056, 1–9 (2006).
S. Abbas, M. Mosbah, and A. Zemmari, “A probabilistic model for distributed merging of mobile agents,” in: Proc. 2nd Intern. Workshop on Verification and Evaluation of Computer and Communication Systems (2008), pp. 1–10.
A. X. Jiang, K. Leyton-Brown, and N. A. R. Bhat, “Action-graph games,” Games and Economic Behavior, 71, 141–173 (2010).
D. A. Pospelov, “From a collective of automata to multiagent systems,” in: Proc. Intern. Workshop “Distributed Artificial Intelligence and Multi-Agent Systems,” St. Petersburg (1997), pp. 319–325.
A. Bianco and L. de Alfaro, “Model checking of probabilistic and nondeterministic systems,” LNCS, 1026, 499–513 (1995).
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2015, pp. 3–18.
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Skobelev, V.G. A Probabilistic Model for the Interaction of an Agent with a Network Environment. Cybern Syst Anal 51, 835–848 (2015). https://doi.org/10.1007/s10559-015-9777-y
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DOI: https://doi.org/10.1007/s10559-015-9777-y