کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406018 678055 2016 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Business and model-driven development of BDI multi-agent systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Business and model-driven development of BDI multi-agent systems
چکیده انگلیسی

Model-driven development allows IT professionals to specify the system functionality, organization and behavior in a logical or platform-independent manner. Modeling using services allows domain analysts to focus on the added-value and core business the enterprise offers to its stakeholders. Those services are coarse-grained elements able to encapsulate a composition of business process models. The framework presented in this paper provides models together at strategic, tactical and operational levels to develop an agent-oriented software system. The strategic level is concerned with long-term decisions; this top-level uses a service model to understand the business’ high-level (added) values as well as the Quality Expectations and the threats they face. The tactical level is concerned with a broader description of the business processes automated by the system; the i⁎ strategic dependency and rationale models are used here to further document the service behavior. Actors’ accountability and responsibility can be determined in the visual representation of these strategic and tactical levels. Finally, i⁎ models are mapped into a set of operational models to document the (multi-agent) system behavior when achieving modeled functionalities. These operational models instantiate the Belief/Desire/Intentions (BDI) paradigm proposing entities – the agents – mapping as closely as possible the real life organization. The paper thus builds a business-driven transformation process leading to a run-time agent-architecture in a single and common framework. It both uses existing models and introduces or refines existing ones to dispose of a method ensuring better alignment and traceability between the business and the IT system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 182, 19 March 2016, Pages 304–321
نویسندگان
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