HCC: Collaborative Research: Information Exchange and Social Factors in Human-Computer-Teamwork Decision Making

该项目解决了决策策略设计的核心问题，这些策略使计算机代理能够有效地与在进行复杂活动中相互作用的异质群体中的人一起工作。这些人和系统的混合网络出现在各种各样的现实世界应用中，以及用于培训的虚拟现实和模拟系统中。它们发生在计算机系统支持一起工作的人的环境中，在这些环境中，他们充当个人的代理人，以及在这些环境中，代理人群体自主行动（但与人一起）来执行他们负责的组成任务。尽管混合网络被广泛传播，代理人的设计，可以在这样的设置受到较少的关注比设计的代理人的多代理系统，包括只有计算机agents.The包括人在混合网络中提出了新的问题，自主代理决策机制的设计。本文的研究重点是以下三个问题，这些问题在以往的工作中没有得到充分的研究，而Agent设计者必须解决这些问题，以构建能够在混合网络中与人类合作伙伴良好工作的系统：（1）Agent能力和过去行为的信息交换策略;（2）协作交互的中断管理机制的设计;（3）学习并将社会因素和组织结构模型纳入决策机制。

This project addresses problems central to the design of decision-making strategies that enable computer agents to work effectively with people in heterogeneous groups that interact in carrying out complex activities. These mixed networks of people and systems arise in a wide variety of real-world applications as well as in virtual reality and simulation systems used for training. They occur in settings in which computer systems support people who are working together, those in which they act as proxies for individual people, and those in which groups of agents act autonomously (but alongside people) to carry out constituent tasks for which they are responsible. Despite mixed networks being wide spread, the design of agents that can operate in such settings has received less attention than the design of agents for multi-agent systems comprising only computer agents.The inclusion of people in mixed networks presents novel problems for the design of autonomous agent decision-making mechanisms. This proposal focuses on the following three of these challenges, which have not been investigated sufficiently in prior work and which agent designers must address to construct systems able to work well with their human partners in mixed networks: (1) information exchange policies for agent competence and past behavior; (2) design of interruption management mechanisms for collaborative interactions; and, (3) learning and incorporation of models of social factors and organizational structures into decision-making mechanisms.