Teamwork in Real-world, Dynamic Environments

نویسنده

  • Milind Tambe
چکیده

Flexible teamwork in real-world multi-agent domains is more than a union of agents’ simultaneous execution of individual plans, even if such execution pre-coordinated. Indeed, uncertainties in complex, dynamic domains often obstruct pre-planned coordination, with a resultant breakdown in teamwork. The central hypothesis in this paper is that for durable teamwork, agents should be provided explicit team plans and an underlying model of teamwork that explicitly outlines their commitments and responsibilities as participants in team activities. Such a model enables team members to flexibly reason about coordination activities. The underlying model we have provided is based on the joint intentions framework; although we present some key modifications to reflect the practical constraints in (some) real-world domains. This framework has been implemented in the context of a real-world synthetic environment for helicopter-combat simulation; some empirical results are presented.1 1This research was supported as part of contract N66001-95-C-6013 from ARPA/ISO. Domain expertise was provided by Dave Sullivan of BMH Inc. I thank Ramesh Patil, Wei-Min Shen and Takahira Yamaguchi for helpful comments on an earlier draft of this paper.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Implementing Agent Teams in Dynamic Multiagent Environments

Teamwork is becoming increasingly critical in multi-agent environments ranging from virtual environments for training and education, to information integration on the internet, to potential multi-robotic space missions. Teamwork in such complex, dynamic environments is more than a simple union of simultaneous individual activity, even if supplemented with preplanned coordination. Indeed in thes...

متن کامل

Effective Methods for Negotiating Teamwork amongst Autonomous Robots operating in Dynamic Environments PhD Research Proposal

Effective models of teamwork between robots operating in dynamic and changing environments is an open challenge in Artificial Intelligence. This research aims to investigate different types of teamwork and the impact of task allocation and communication models on interaction between robots. Both simulated and physical environments will be used to test teams of homogeneous and heterogeneous robo...

متن کامل

Towards Flexible Teamwork in Persistent Teams : Extended

Teamwork is a critical capability in multi-agent environments. Many such environments mandate that the agents and agent-teams must be persistent i.e., exist over long periods of time. Agents in such persistent teams are bound together by their long-term common interests and goals. This paper focuses on exible teamwork in such persistent teams. Unfortunately, while previous work has investigated...

متن کامل

Clustering and Memory-based Parent-Child Swarm Meta-heuristic Algorithm for Dynamic Optimization

So far, various optimization methods have been proposed, and swarm intelligence algorithms have gathered a lot of attention by academia. However, most of the recent optimization problems in the real world have a dynamic nature. Thus, an optimization algorithm is required to solve the problems in dynamic environments well. In this paper, a novel collective optimization algorithm, namely the Clus...

متن کامل

A Framework for Adapting Population-Based and Heuristic Algorithms for Dynamic Optimization Problems

In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996