Abstract
Intelligent agents are classified into various types depending on whether they just react to the stimuli they perceive (reactive) or they develop plans to solve their own goals (proactive or goal-oriented). In practice, agents are a mixture of two layers since they perform reactive or proactive tasks depending on what is the most appropriate at a given time (hybrid agents). Bearing in mind the dynamic organisation of a multi-agent system consisting of any of the above types, it is only natural to consider Population P Systems as a suitable candidate for modelling. In this paper, we describe preliminary work done towards modelling of MAS which include all types of agents. An initial attempt is made to tackle certain issues that have to do with the objects and rules that define each agent operation. Alongside the alternative solutions, we present a concrete example to demonstrate our findings and raise discussions.
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References
Bernardini, F., Gheorghe, M.: Population P Systems. Journal of Universal Computer Science 10(5), 509–539 (2004)
Coakley, S.: Formal Software Architecture for Agent-Based Modelling in Biology. PhD thesis, Dept. of Comp. Science, Univ. of Sheffield, UK (2007)
Georgeff, M.P., Lansky, A.L.: Reactive reasoning and planning. In: Proc. of the 6th Conference on Artificial Intelligence, pp. 677–682 (1987)
Kefalas, P., Holcombe, M., Eleftherakis, G., Gheorghe, M.: A formal method for the development of agent-based systems. In: Plekhanova, V. (ed.) Intelligent Agent Software Engineering, pp. 68–98. Idea Publishing Group Co., USA (2003)
Kefalas, P., Stamatopoulou, I.: Modelling of multi-agent systems: Experiences with membrane computing and future challenges. In: Applications of Membrane computing, Concurrency and Agent-based modelling in POPulation biology (AMCA-POP), Satellite event of the 11th Conference on Membrane Computing ( to appear, 2010)
Kelemen, J., Kelemenova, A., Paun, G.: Preview of P colonies: A biochemically inspired computing model. In: Pollack, J.B., Bedau, M., Husbands, P., Ikegami, T., Watson, R.A. (eds.) Proceedings of the 9th Intern. Conference on the Simulation and Synthesis of Living Systems (Alife IX), pp. 82–86. MIT Press, Cambridge (2004)
Martin-Vide, C., Păun, G., Pazos, J., Rodriguez-Paton, A.: Tissue P systems. Theoretical Computer Science 296, 295–326 (2003)
Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. In: Allen, J., Fikes, R., Sandewall, E. (eds.) Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR 1991), pp. 473–484. Morgan Kaufmann, San Francisco (1991)
Sakellariou, I., Kefalas, P., Stamatopoulou, I.: Enhancing NetLogo to simulate BDI communicating agents. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds.) SETN 2008. LNCS (LNAI), vol. 5138, pp. 263–275. Springer, Heidelberg (2008)
Stamatopoulou, I., Gheorghe, M., Kefalas, P.: Modelling dynamic configuration of biology-inspired multi-agent systems with Communicating X-machines and Population P Systems. In: Mauri, G., Păun, G., Jesús Pérez-Jímenez, M., Rozenberg, G., Salomaa, A. (eds.) WMC 2004. LNCS, vol. 3365, pp. 389–401. Springer, Heidelberg (2005a)
Stamatopoulou, I., Kefalas, P., Eleftherakis, G., Gheorghe, M.: A modelling language and tool for Population P Systems. In: PCI 2005 (2005b)
Stamatopoulou, I., Sakellariou, I., Kefalas, P., Eleftherakis, G.: OPERAS for social insects: Formal modelling and prototype simulation. Special Issue of Romanian Journal of Information Science and Technology (ROMJIST) on Natural Computing — from biology to computer science and back to applications 11(3), 267–280 (2008)
Wilensky, U.: Netlogo Center for Connected Learning and Computer-based Modelling. Northwestern University, Evanston, IL (1999), http://ccl.northwestern.edu/netlogo
Wooldridge, M., Jennings, N.R.: Intelligent agents: Theory and practice. Knowledge Engineering Review 10(2), 115–152 (1995)
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Kefalas, P., Stamatopoulou, I. (2010). Towards Modelling of Reactive, Goal-Oriented and Hybrid Intelligent Agents Using P Systems. In: Gheorghe, M., Hinze, T., Păun, G., Rozenberg, G., Salomaa, A. (eds) Membrane Computing. CMC 2010. Lecture Notes in Computer Science, vol 6501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18123-8_21
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DOI: https://doi.org/10.1007/978-3-642-18123-8_21
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