The specification of complex motion goals through temporal logics is increasingly favored in robotics to narrow the gap between task and motion planning. A major limiting factor ...
Many multiagent applications require an agent to learn quickly how to interact with previously unknown other agents. To address this problem, researchers have studied learning alg...
Stefano Vittorino Albrecht, Jacob William Crandall...
Attributes of words and relations between two words are central to numerous tasks in Artificial Intelligence such as knowledge representation, similarity measurement, and analogy...
Maximum entropy inverse optimal control (MaxEnt IOC) is an effective means of discovering the underlying cost function of demonstrated human activity and can be used to predict hu...
De-An Huang, Amir Massoud Farahmand, Kris M. Kitan...
Lifted probabilistic inference algorithms have been successfully applied to a large number of symmetric graphical models. Unfortunately, the majority of realworld graphical models...
Combinatory Categorial Grammar (CCG) is a lexicalized grammar formalism in which words are associated with categories that, in combination with a small universal set of rules, spe...
Dan Garrette, Chris Dyer, Jason Baldridge, Noah A....
Analogies are a fundamental human reasoning pattern that relies on relational similarity. Understanding how analogies are formed facilitates the transfer of knowledge between cont...
We provide a logical representation of Pearl’s structural causal models in the framework of the causal calculus of McCain and Turner (1997) and its first-order generalization b...
In many cases, creating long-term solutions to sustainability issues requires not only innovative technology, but also largescale public adoption of the proposed solutions. Social...
Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Ree...