SmartResource Platform and Semantic Agent Programming Language (S-APL)
Although the flexibility of agent interactions has many advantages when it comes to engineering a complex system, the downside is that it leads to certain unpredictability of the run-time system. Literature sketches two major directions for search for a solution: social-level characterization of agent systems and ontological approaches to inter-agent coordination. Especially the latter direction is not yet studied much by the scientific community. This paper describes our vision and the present state of the SmartResource Platform. The main distinctive features of the platform are externalization of behavior prescriptions, i.e. agents access them from organizational repositories, and utilization of the RDF-based Semantic Agent Programming Language (S-APL), instead of common Prolog-like languages.
KeywordsMultiagent System Behavior Model Behavior Rule Main Distinctive Feature Behavior Engine
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- 3.Bosse, T., Treur, J.: Formal interpretation of a multi-agent society as a single agent. Journal of Artificial Societies and Social Simulation 9(2) (2000)Google Scholar
- 7.Rao, A., Georgeff, M.: Modeling rational agents within a BDI architecture. In: KR 1991. Proc. 2nd International Conference on Principles of Knowledge Representation and Reasoning, pp. 473–484 (1991)Google Scholar
- 12.Dastani, M., van Riemsdijk, B., Dignum, F., Meyer, J.J.: A programming language for cognitive agents: Goal directed 3APL. In: Dastani, M., Dix, J., El Fallah-Seghrouchni, A. (eds.) PROMAS 2003. LNCS (LNAI), vol. 3067, pp. 111–130. Springer, Heidelberg (2004)Google Scholar