Welcome to the Laboratory for Intelligent Processes and Systems (LIPS) at the University of Texas at Austin.

• Such systems, often categorized as Distributed Artificial Intelligence (DAI) or Multi-Agent Systems (MAS), provide decision support and operation control in complex domains where decision makers must accomplish goals despite environments characterized by high volatility, information overload, and inherent uncertainty.
  

1. Multi-Agent System Design and Runtime Analysis: methods and tools to enable disciplined design and architecting of Multi-Agent Systems as well as techniques for verifying and understanding agent-based implementation behavior and
2. Advanced Agent Technologies supporting Decision Making in Complex Domains: specific capabilities that can be designed into an agent to enhance fundamental agent operations (e.g., belief maintenance, planning, coordination), thereby improving decision-making performance and ensuring resilience in volatile, uncertain, and information-dependent environments.
   • Trust and Reputation
   • Multi-agent Team Formation
   • Expert Finding and Motivation

If you have any questions about this page, send an email to: edgeweb(at)www.utexas.edu