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Consensus ontologies in socially interacting MultiAgent systems

机译：社交互动MultiAgent系统中的共识本体

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摘要

This paper presents approaches for building, managing, and evaluating consensus ontologies from the individual ontologies of a network of socially interacting agents. Each agent has its own conceptualization of the world within the multiagent system framework. The interactions between agents are modeled by sending queries and receiving responses and later assessing each other's performance based on the results. This model enables us to measure the quality of the societal beliefs in the resources which we represent as the expertise in each domain. The dynamic nature of our system allows us to model the emergence of consensus that mimics the evolution of language. We present an algorithm for generating the consensus ontologies which makes use of the authoritative agent's conceptualization in a given domain. As the expertise of agents changes after a number of interactions, the consensus ontology that we build based on the agents' individual views evolves. The resulting approach is concordant with the principles of emergent semantics. We provide formal definitions for the problem of finding a consensus ontology in a step by step manner. We evaluate the consensus ontologies by using different heuristic measures of similarity based on the component ontologies. Conceptual processing methods for generating, manipulating, and evaluating consensus ontologies are given and experimental results are presented. The presented approach looks promising and opens new directions for further research.
机译：本文介绍了从社交互动代理网络的各个本体中构建，管理和评估共识本体的方法。每个代理在多代理系统框架内都有自己的世界概念。通过发送查询和接收响应，然后根据结果评估彼此的性能来对代理之间的交互进行建模。该模型使我们能够衡量资源中社会信念的质量，这些资源代表了我们在各个领域的专业知识。系统的动态性质使我们可以对模仿语言演变的共识的出现进行建模。我们提出了一种用于生成共识本体的算法，该算法利用了给定域中的权威代理的概念化。随着代理人的专业知识在多次交互后发生变化，我们基于代理人的个人观点建立的共识本体也在不断发展。由此产生的方法符合紧急语义的原理。我们为逐步找到共识本体的问题提供了正式定义。我们通过使用基于组件本体的相似性的不同启发式度量来评估共识本体。给出了用于生成，操纵和评估共识本体的概念处理方法，并给出了实验结果。提出的方法看起来很有希望，并为进一步的研究开辟了新的方向。

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