Social Planning: Achieving Goals by Altering Others' Mental States


  • Chris Pearce University of Auckland
  • Ben Meadows University of Auckland
  • Pat Langley University of Auckland
  • Mike Barley University of Auckland



social planning, social cognition, mental state ascription, problem solving


In this paper, we discuss a computational approach to the cognitivetask of social planning. First, we specify a class of planningproblems that involve an agent who attempts to achieve its goalsby altering other agents' mental states. Next, we describe SFPS,a flexible problem solver that generates social plans of this sort,including ones that include deception and reasoning about otheragents' beliefs. We report the results for experiments on socialscenarios that involve different levels of sophistication and thatdemonstrate both SFPS's capabilities and the sources of its power.Finally, we discuss how our approach to social planning has beeninformed by earlier work in the area and propose directions foradditional research on the topic.




How to Cite

Pearce, C., Meadows, B., Langley, P., & Barley, M. (2014). Social Planning: Achieving Goals by Altering Others’ Mental States. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1).



AAAI Technical Track: Cognitive Systems