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Authors: Stefan Warwas ; Klaus Fischer ; Matthias Klusch and Philipp Slusallek

Affiliation: German Research Center for Artificial Intelligence (DFKI), Germany

Keyword(s): Agent-oriented Software Engineering, Modeling Framework

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Cognitive Systems ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Modeling real world agent-based systems is a complex endeavour. An ideal domain specific agent modeling language would be tailored to a certain application domain (e.g. virtual worlds) as well as to the target execution environment (e.g. a legacy virtual reality platform). This includes the use of specialized domain concepts, information models, software languages (e.g. query languages for reasoning about an agent’s knowledge), as well as custom views and diagrams for designing the system. At the same time it is desirable to reuse application domain independent model artifacts such as interaction protocols (e.g. auction protocols) or goal/plan decompositions of a certain problem domain that already proved their use in similar scenarios. Current agent modeling languages cover the core concepts of multiagent systems but are neither thought to be customized for a certain application domain nor to be extended by external researchers with new or alternative AI and agent concepts. In this p aper we propose a model-driven framework for engineering multiagent systems, called BOC HI C A, which is based on a platform independent core modeling language and can be tailored through several extension interfaces to the user’s needs. The framework leverages the reuse of existing design patterns and reduces development time and costs for creating application domain specific modeling solutions. We evaluated our approach on a distributed semantic web based execution platform for virtual worlds. (More)

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Paper citation in several formats:
Warwas, S.; Fischer, K.; Klusch, M. and Slusallek, P. (2012). BOCHICA: A MODEL-DRIVEN FRAMEWORK FOR ENGINEERING MULTIAGENT SYSTEMS. In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-95-9; ISSN 2184-433X, SciTePress, pages 109-118. DOI: 10.5220/0003741901090118

@conference{icaart12,
author={Stefan Warwas. and Klaus Fischer. and Matthias Klusch. and Philipp Slusallek.},
title={BOCHICA: A MODEL-DRIVEN FRAMEWORK FOR ENGINEERING MULTIAGENT SYSTEMS},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2012},
pages={109-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003741901090118},
isbn={978-989-8425-95-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - BOCHICA: A MODEL-DRIVEN FRAMEWORK FOR ENGINEERING MULTIAGENT SYSTEMS
SN - 978-989-8425-95-9
IS - 2184-433X
AU - Warwas, S.
AU - Fischer, K.
AU - Klusch, M.
AU - Slusallek, P.
PY - 2012
SP - 109
EP - 118
DO - 10.5220/0003741901090118
PB - SciTePress

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