Abstract
This paper describes a hybrid dynamical system-based approach to formalizing and mechanizing analyses of dynamical agents, i.e., situated, embodied actors that continuously respond to their environment. As an example, the paper describes a class of formalized metrics for reasoning about the relative difficulties of agent navigation in various environments —not just whether one scenario is more difficult than another, but how much more difficult a scenario might be— and presents results of relative difficulty reasoning using a specific example metric. This illustrates that qualitative or heuristic agent properties, which are commonly unformalized and imprecise, may be formalized and rigorously analyzed using this approach. The paper also discusses the potential implementation of relative difficulty metrics in meta-intelligent agents.
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References
Tomlin, C., Pappas, G.J., Sastry, S.: Conflict resolution for air traffic management: A study in muti-agent hybrid systems. IEEE Transactions on Automatic Control 43(4), 509–521 (1998)
Pepyne, D., Cassandras, C.: Hybrid systems in manufacturing. Proceedings of the IEEE 88, 1108–1123 (2000)
Egerstedt, M., Hu, X.: A hybrid control approach to action coordination for mobile robots. Automatica 38(1), 125–130 (2002)
Aaron, E., Ivančić, F., Metaxas, D.: Hybrid system models of navigation strategies for games and animations. In: Tomlin, C.J., Greenstreet, M.R. (eds.) HSCC 2002. LNCS, vol. 2289, pp. 7–20. Springer, Heidelberg (2002)
Aaron, E., Sun, H., Ivančić, F., Metaxas, D.: A hybrid dynamical systems approach to intelligent low-level navigation. In: Proceedings of Computer Animation, pp. 154–163 (2002)
Clarke, E.M., Grumberg, O., Peled, D.: Model Checking. MIT Press, Cambridge (2000)
Alur, R., Henzinger, T., Lafferriere, G., Pappas, G.: Discrete abstractions of hybrid systems. Proceedings of the IEEE 88, 971–984 (2000)
Asarin, E., Dang, T., Maler, O.: The d/ dt tool for verification of hybrid systems. In: Brinksma, E., Larsen, K.G. (eds.) CAV 2002. LNCS, vol. 2404, pp. 365–370. Springer, Heidelberg (2002)
Chutinan, A., Krogh, B.H.: Verification of polyhedral-invariant hybrid automata using polygonal flow pipe approximations. In: Vaandrager, F.W., van Schuppen, J.H. (eds.) HSCC 1999. LNCS, vol. 1569, pp. 76–90. Springer, Heidelberg (1999)
Dang, T.: Verification and Synthesis of Hybrid Systems. PhD thesis, Verimag, Institut National Polytechnique de Grenoble (2000)
Kurzhanski, A., Varaiya, P.: Ellipsoidal techniques for reachability analysis. In: Lynch, N.A., Krogh, B.H. (eds.) HSCC 2000. LNCS, vol. 1790, pp. 202–214. Springer, Heidelberg (2000)
Goldenstein, S., Karavelas, M., Metaxas, D., Guibas, L., Aaron, E., Goswami, A.: Scalable nonlinear dynamical systems for agent steering and crowd simulation. Computers And Graphics 25(6), 983–998 (2001)
Alur, R., Grosu, R., Lee, I., Sokolsky, O.: Compositional refinement for hierarchical hybrid systems. In: Di Benedetto, M.D., Sangiovanni-Vincentelli, A.L. (eds.) HSCC 2001. LNCS, vol. 2034, pp. 33–48. Springer, Heidelberg (2001)
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Aaron, E. (2006). Hybrid System Reachability-Based Analysis of Dynamical Agents. In: Hinchey, M.G., Rago, P., Rash, J.L., Rouff, C.A., Sterritt, R., Truszkowski, W. (eds) Innovative Concepts for Autonomic and Agent-Based Systems. WRAC 2005. Lecture Notes in Computer Science(), vol 3825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11964995_21
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DOI: https://doi.org/10.1007/11964995_21
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