A Hierarchical Negotiation Protocol Using Multi-Dimensional Behavior Specifications

这项研究是由协调问题特别倡议资助的 理论与协作技术。 这是十一位获奖者之一 在这种竞争下。 本研究旨在整合概念， 人工智能、组织理论和操作 研究一个框架。 研究的论点是， 计划、组织和安排这些不同领域的研究 可以共享一个共同的表示， 行为规范的抽象。 PI开发了一个 对行为分层、多维规范， 包含传统目标、计划、功能和产品层次结构。 该研究概述了一项基于以下内容的协调协议： 行为规范，其中智能代理增量 交换行为信息并通过替代搜索 解决冲突，促进合作。 的 研究还实施和评估这一框架， 合作机器人领域的背景下，并在一个 智能系统来安排人们之间的会议。 的 目标是利用科学和技术进步， 一种新颖的跨学科协调方法。

This research is funded under the Special Initiative on Coordination Theory and Collaboration Technology. This is one of eleven winners under that competition. This research is directed towards integrating concepts from artificial intelligence, organization theory, and operations research into a single framework. The research argument is that the plans, organizations, and schedules studies in these separate fields can share a common representation, and are simply different abstractions of a behavioral specification. The PI develops a hierarchical, multi-dimensional specification for behavior that subsumes traditional goal, plan, functional and product hierarchies. the research outlines a protocol for coordination based on the behavioral specification, where intelligent agents incrementally exchange behavioral information and search through alternative behaviors to resolve conflicts and promote cooperation. The research also implements and evaluates this framework both in the context of cooperative robotics domain, and in the context of an intelligent systems for scheduling meetings between people. The objective is to generate scientific and technological advances using a novel, interdisciplinary approach to coordination.