Conventional method of development which repeats phases of design, implementation and testing is not adequate for systems like intelligent agents for which complex behavior is required but specification is unclear at the beginning of development process. Incremental design of agent's model during simulation seems more suitable for it enables direct feedback in behavioral changes of a system. This interactivity speeds up development process and helps to uncover parts of a space of all models to designer - thanks to new knowledge acquired during simulation. This thesis aims to provide comparison of suitability of two agent architectures and respective platforms in context of SmallDEVS modeling and simulation framework for this methodology of development. First approach is reactive and decentralized subsumption architecture based on DEVS formalism and the second one is PNagent, framework realizing deliberative BDI architecture using Object Oriented Petri Nets.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:236667 |
| Creators | Šperka, Svatopluk |
| Contributors | Rozman, Jaroslav, Janoušek, Vladimír |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0025 seconds