Reusable Environment for Task Structured Intelligent Network Agents - Robotics Institute Carnegie Mellon University
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Reusable Environment for Task Structured Intelligent Network Agents

The RETSINA multiagent infrastructure consists of a system of reusable agent types that can be adapted to address a variety of different domain-specific problems. Each RETSINA agent draws upon a sophisticated reasoning architecture that consists of four reusable modules for communication, planning, scheduling and execution monitoring.

A collection of RETSINA agents forms an open society of reusable entities that self-organize and cooperate in response to task requirements. We are currently applying this agent infrastructure to a number of domains, including information retrieval, team decision making, and financial portfolio management.

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current head

past staff

  • Liren Chen
  • Constantine Domashnev
  • Gregg Economou
  • Leonardo Garrido
  • Matthew Glickman
  • Seth Horne
  • Octavio H Juarez-Espinosa
  • Dirk Kalp
  • Matthias Klusch
  • Brent K Langley
  • JianBing Li
  • Cuihong Li
  • Jianguo Lu
  • Andrew Miklick
  • Stefano Monti
  • Sean R Owens
  • Anandeep S. Pannu
  • Massimo Paolucci
  • Terence Payne
  • Michael Rectenwald
  • Onn Shehory
  • Raymond Chung-Man Tam
  • James D Thomas
  • Thi Nhu Truong
  • Martin Van Velsen
  • Seth Widoff
  • Hao Chi Wong
  • Junichi Yamamoto
  • Dajun Zeng

past contact

  • Lori R Price