(Georgia Institute of Technology, 2015-05-28)
Aha, David W.; Anderson, Tory S.; Bengfort, Benjamin; Burstein, Mark; Cerys, Dan; Coman, Alexandra; Cox, Michael T.; Dannenhauer, Dustin; Floyd, Michael W.; Gillespie, Kellen; Goel, Ashok K.; Goldman, Robert P.; Jhala, Arnav; Kuter, Ugur; Leece, Michael; Maher, Mary Lou; Martie, Lee; Merrick, Kathryn; Molineaux, Matthew; Muñoz-Avila, Héctor; Roberts, Mark; Robertson, Paul; Rugaber, Spencer; Samsonovich, Alexei; Vattam, Swaroop S.; Wang, Bing; Wilson, Mark
This technical report contains the 14 accepted papers presented at the Workshop on Goal Reasoning,
which was held as part of the 2015 Conference on Advances in Cognitive Systems (ACS-15) in Atlanta,
Georgia on 28 May 2015. This is the fourth in a series of workshops related to this topic, the first of
which was the AAAI-10 Workshop on Goal-Directed Autonomy; the second was the Self-Motivated
Agents (SeMoA) Workshop, held at Lehigh University in November 2012; and the third was the Goal
Reasoning Workshop at ACS-13 in Baltimore, Maryland in December 2013.
(Georgia Institute of Technology, 1997)
Chen, Zhong; Goel, Ashok K.; Rowland, Paul; Stroulia, Eleni
Reactive methods of control get caught in local minima. Fortunately schema-based reactive control systems have built-in redundancy that enables multiple configurations with different modes. We describe a model-based method that exploits this redundancy, and, under certain conditions, reconfigures schema-based reactive control systems trapped in behavioral cycles due to the presence of local minima. The qualitative model specifies the functions and modes of the perceptual and motor schemas, and represents the reactive architecture as a structure-behavior-function model. The model-based method monitors the reactive processing, detects failures in the form of behavioral cycles, analyzes the processing trace, identifies potential modifications, and reconfigures the reactive architecture. We report on experiments with a simulated robot navigating a complex space.