Team Oriented Programming and Proxy Agents: The Next Generation

Coordination between large teams of highly heterogeneous entities will change the way complex goals are pursued in real world environments. One approach to achieving the required coordination in such teams is to give each team member a proxy that assumes routine coordination activities on behalf of its team member. Despite that approach’s success, as we attempt to apply this first generation of proxy architecture to larger teams in more challenging environments, some limitations become clear. In this paper, we present initial efforts on the next generation of proxy architecture and Team Oriented Programming (TOP), called Machinetta. Machinetta aims to overcome the limitations of the previous generation of proxies and allow effective coordination between very large teams of highly heterogeneous agents. We describe the principles underlying the design of the Machinetta proxies and present initial results from two domains.

[1]  Terrence Fong,et al.  Advanced Interfaces for Vehicle Teleoperation: Collaborative Control, Sensor Fusion Displays, and Web-based Tools , 2000 .

[2]  Nicholas R. Jennings,et al.  Agent Theories, Architectures, and Languages: A Survey , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[3]  Milind Tambe,et al.  Toward Team-Oriented Programming , 1999, ATAL.

[4]  Jean Oh,et al.  Electric Elves: Applying Agent Technology to Support Human Organizations , 2001, IAAI.

[5]  Milind Tambe,et al.  A prototype infrastructure for distributed robot-agent-person teams , 2003, AAMAS '03.

[6]  Nicholas R. Jennings,et al.  Intelligent Agents VI , 2000 .

[7]  W. Burgard,et al.  Markov Localization for Mobile Robots in Dynamic Environments , 1999, J. Artif. Intell. Res..

[8]  G. Tidhar,et al.  Guided Team Selection * , 1996 .

[9]  Candace L. Sidner,et al.  COLLAGEN: when agents collaborate with people , 1997, AGENTS '97.

[10]  MR Jones Autonomous Robots in SWAT Applications : Research , Design , and Operations Challenges , 2002 .

[11]  Gil Tidhar,et al.  On team knowledge and common knowledge , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

[12]  Wei-Min Shen,et al.  Teamwork in Cyberspace: Using TEAMCORE to Make Agents Team-Ready , 1999 .

[13]  Jean Oh,et al.  Electric Elves: Agent Technology for Supporting Human Organizations , 2002, AI Mag..

[14]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[15]  Gavan Lintern,et al.  Dynamic patterns: The self-organization of brain and behavior , 1997, Complex.

[16]  Nicholas R. Jennings,et al.  The archon systems and its applications , 1995 .

[17]  Milind Tambe,et al.  An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans , 2003, Autonomous Agents and Multi-Agent Systems.

[18]  Terry R. Payne,et al.  Varying the user interaction within multi-agent systems , 2000, AGENTS '00.

[19]  David Kortenkamp,et al.  User Interaction with Multi-Robot Systems , 2002 .

[20]  David Kortenkamp,et al.  Intelligent Control of Life Support for Space Missions , 2002, IEEE Intell. Syst..

[21]  Milind Tambe,et al.  Agent Architectures for Flexible, Practical Teamwork , 1997, AAAI/IAAI.

[22]  Milind Tambe,et al.  Multiagent teamwork: analyzing the optimality and complexity of key theories and models , 2002, AAMAS '02.