A Symbiotic Cognitive Computing Perspective on Autonomic Computing
A Symbiotic Cognitive Computing Perspective on Autonomic Computing
复制标题
自主计算的共生认知计算视角
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. Lenchner
中科院分区：
文献类型：
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作者：
J. Kephart;J. Lenchner
共生认知系统(SCS)是由人类和软件智能体组成的多智能体系统，它们被设计成比人类或软件智能体在没有辅助的情况下更好地集体执行诸如决策等认知任务。自主计算系统是根据人类管理员和用户指定的目标来管理应用程序以及软件和硬件资源的多代理系统。SCS和ACS有一些共同的关键特征。首先，两者都是为了扩展人类的智力能力而设计的，因此它们需要有效的手段，人类可以通过这种手段将他们的目标与计算系统进行沟通。其次，它们的自然架构是一个多智能体系统，在这个系统中，数十个、数百个甚至更多的半自治实体相互作用。在SCS和ACS中，代理间的通信和协调问题显得尤为突出。我们报告了我们使用一个中等规模的SCS原型的经验，该原型帮助人类专家做出决策，其财务影响从数百万甚至数十亿美国不等：企业合并和收购。利用这些共性，我们将这些经验转化为可能有助于未来对ACS的研究的见解，并建议更加关注代理与人的沟通和构建现实的系统原型。
Symbiotic Cognitive Systems (SCS) are multi-agent systems comprising both human and software agents that are designed to collectively perform cognitive tasks such as decision-making better than humans or software agents can unaided. Autonomic Computing Systems (ACS) are multi-agent systems that manage applications as well as software and hardware resources in accordance with goals specified by human administrators and users. SCS and ACS share some key characteristics. First, both are designed to extend human intellectual capabilities, and as such they require effective means by which humans can communicate their objectives to the computing system. Second, their natural architecture is a multi-agent system in which dozens, hundreds or even more semi-autonomous entities interact. In both SCS and ACS, issues of inter-agent communication and coordination come to the fore. We report our experience with a moderate-scale SCS prototype that helps human experts make decisions with financial impacts ranging from millions to even billions of US: corporate mergers and acquisitions. Taking advantage of the commonalities, we translate this experience into insights that may benefit future research on ACS, and recommend a stronger focus on agent-human communication and building realistic system prototypes.