This project is developing methods and tools that allow people to define robust workflow models much more quickly and effectively. This work is led by Mark Klein and Chris Dellarocas.
The ASES group's activities are focused on developing software that is aware of its mission, can assess its progress and is capable of repairing or adapting itself when it detects that it might not meet its goals. We are currently pursuing projects in the areas of multi-agent systems, workflow and software domain architectures. In the near future, we plan to apply our technologies to the design of adaptable business processes in volative and risky domains.
Exception Handling in Multi-Agent Systems
This project addresses the issues of how we can help develop multi-agent systems that are more robust and adaptive in the face of complex, dynamic and error-prone environments. This work is led by Chris Dellarocas and Mark Klein, with participation by members of the MIT Artificial Intelligence Laboratory, and is funded by the DARPA ISO Agent-Based Systems Program, POC Major Douglas Dyer.
This project is developing methods and tools to allow the development of software systems that can adapt to changing and even hostile environments. This work is led by Dr. Howie Shrobe at the MIT Artificial Intelligence Laboratory, and is funded by the DARPA ITO Self-Adaptive Software (SAFER) program, POC Dr. Robert Laddaga.
Defining Robust Workflow Models
This project is developing methods and tools that allow people to define robust workflow models much more quickly and effectively. This work is led by Mark Klein and Chris Dellarocas.