We develop a formal rules-based probabilistic logical representational format for cognitive affordances. Our framework allows agents to make deductive and abductive inferences about functional and social affordances, collectively and dynamically, thereby allowing the agent to adapt to changing conditions.
@inproceedings{sarathy2016kr, title={Cognitive Affordance Representations in Uncertain Logic}, author={Vasanth Sarathy and Matthias Scheutz}, year={2016}, booktitle={Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR)}, url={https://hrilab.tufts.edu/publications/sarathy2016kr.pdf} }