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Teamwork in Cyberspace: Using TEAMCORE to Make Agents Team-Ready

TLDR
In complex, dynamic and uncertain environments extending from disaster rescue missions, to future battlefields, to monitoring and surveillance tasks, to virtual training environments, tofuture robotic space missions, intelligent agents will play a key role in information gathering and filtering, as well as in task planning and execution.
Abstract
In complex, dynamic and uncertain environments extending from disaster rescue missions, to future battlefields, to monitoring and surveillance tasks, to virtual training environments, to future robotic space missions, intelligent agents will play a key role in information gathering and filtering, as well as in task planning and execution. Although physically distributed on a variety of platforms, these agents will interact with information sources, network facilities, and other agents via cyberspace, in the form of the Internet, Intranet, the secure defense communication network, or other forms of cyberspace. Indeed, it now appears well accepted that cyberspace will be (if it is not already) populated by a vast number of such distributed, individual agents.

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Citations
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Proceedings ArticleDOI

Collaborative sanctioning: applications in restaurant recommendations based on reputation

TL;DR: This paper describes a system: the Restaurant Sanctioning Service (RSS) which provides weighting for ratings based on the reputation of the raters, and is called a collaborative sanctioning system.
Proceedings ArticleDOI

R2D2 in a softball: the portable satellite assistant

TL;DR: An overview of some of the design challenges faced in making the PSA practical, effective, and usable for future space missions highlights the need for an agent architecture supporting adjustable autonomy and a generic model of teamwork.
Proceedings ArticleDOI

Controlling teams of uninhabited air vehicles

TL;DR: A Multi-Agent System for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts of use and technologies is described.
Book ChapterDOI

Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity

TL;DR: Various issues associated with "progress appraisal" and the challenges it poses for human-machine systems are addressed and promising directions for future work are pointed to.
Proceedings ArticleDOI

Techniques and directions for building very large agent teams

TL;DR: Probabilistic algorithms that leverage the associates network for distributed plan instantiation, role allocation, information sharing and adjustable autonomy with a team are developed.
References
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Book

The uses of argument

TL;DR: In this paper, the origins of epistemological theory are discussed and the layout of argument and modal arguments are discussed, as well as the history of working logic and idealised logic.
Book

Unified Theories of Cognition

TL;DR: In this paper, the authors propose a unified theory of cognition for the task of the Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge Systems Representation Machines and Computation Symbols Architectures Intelligence Search and Problem Spaces Preparation and Deliberation Summary Human Cognitive Architecture The Human is a Symbol System System Levels The Time Scale of Human Action The Biological Band The Neural Circuit Level The Real-Time Constraint on Cognition The Cognitive Band The Level of Simple Operations The First Level of Composed Operations The Intendedly Rational Band Higher Bands: Social, Historical
Journal ArticleDOI

Collaborative plans for complex group action

TL;DR: A revised and expanded version of SharedPlans that reformulates Pollack's (1990) definition of individual plans to handle cases in which a single agent has only partial knowledge and has the features required by Bratman's (1992) account of shared cooperative activity.
Posted Content

Towards Flexible Teamwork

TL;DR: In STEAM, team members monitor the team's and individual members' performance, reorganizing the team as necessary, and decision-theoretic communication selectivity in STEAM ensures reduction in communication overheads of teamwork, with appropriate sensitivity to the environmental conditions.
Journal ArticleDOI

Towards flexible teamwork

TL;DR: In this paper, the authors present a general, implemented model of teamwork, called STEAM, which is based on agents' building up a (partial) hierarchy of joint intentions (this hierarchy is seen to parallel Grosz & Kraus's partial Shared-Plans, 1996).