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SNARE: Social Network Analysis and Reasoning Environment

机译:圈套:社交网络分析和推理环境

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The importance of diversity in reasoning and learning to successfully address complex problems is examined. We discuss an approach by which a multiagent framework with decentralized control mechanisms provides diverse perspectives and hypotheses addressing a class of complex problems. We introduce the SNARE multiagent system. SNARE performs tasks to gain situational awareness of situations of interest in a Social Media Space. It applies a decentralized control mechanism for each agent; this mechanism enables an agent to interact with other agents to reason and learn. This approach facilitates dynamic agent organizations that adapt the topologies of interactions between agents based on the problem context.
机译:研究了在推理和学习成功解决复杂问题的推理和学习中的重要性。我们讨论一种方法,通过分散控制机制的多层框架提供了多样化的视角和假设解决了一类复杂问题。我们介绍了圈套多层系统。圈套执行任务,以获得社交媒体空间的兴趣情况的情境意识。它适用于每个代理的分散控制机制;这种机制使代理商能够与其他代理商互动以理性和学习。这种方法有助于根据问题背景,适应代理之间的交互拓扑的动态代理组织。

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