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首页> 外文会议>2017 XLIII Latin American Computer Conference >MAS2DES-onto: Ontology for MAS-based digital ecosystems
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MAS2DES-onto: Ontology for MAS-based digital ecosystems

机译：MAS2DES-onto：基于MAS的数字生态系统的本体

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Multi-Agent Systems (MASs) have received much attention in recent years because of their advantages on modeling complex distributed systems, such Digital Ecosystems (DESs). Many existing modeling languages that support the design of such systems are based on ontologies to assist the representation of agents knowledge. However, in the context of DESs, there is still a need for more general conceptual models to represent the specific characteristics of DESs in terms of win-win interaction, engagement, equilibrium, and self-organization. Then, concepts such behavior, roles, rules, and environment are needed. This paper describes an ontology-based approach by proposing MAS2DES-Onto, as the conceptual model, which considers the essential static and dynamic aspects of MASs by a clear representation of their concepts and relationships to support the design and development of DESs. To validate and conduct experimental tests, we integrate MAS2DES-Onto into a framework to automatically generate MAS-based DESs. Results show the efficiency and effectiveness of our approach.
机译：近年来，由于多智能体系统（MAS）在建模复杂的分布式系统（例如数字生态系统（DES））方面的优势，因此备受关注。支持此类系统设计的许多现有建模语言都是基于本体的，以帮助代理知识的表示。但是，在DES的背景下，仍然需要更通用的概念模型来代表DES的双赢互动，参与，平衡和自组织的特定特征。然后，需要诸如行为，角色，规则和环境的概念。本文通过提出MAS2DES-Onto作为概念模型来描述基于本体的方法，该模型通过清楚地表示MAS的概念和关系以支持DES的设计和开发来考虑MAS的基本静态和动态方面。为了验证和进行实验测试，我们将MAS2DES-Onto集成到框架中以自动生成基于MAS的DES。结果显示了我们方法的有效性和有效性。

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