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Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
Our research aims at developing intelligent systems to reduce the transportation-related energy expenditure of a large city by influencing individual behavior.
An Extensible and Personalizable Multi-Modal Trip Planner
Despite a tremendous amount of work in the literature and in the commercial sectors, current approaches to multi-modal trip planning still fail to consistently generate plans that users deem optimal in practice.
Playing Angry Birds with a Domain-Independent PDDL+ Planner
This demo paper presents the first system for playing the popular Angry Birds game using a domain-independent planner.
Machine learning reveals how personalized climate communication can both succeed and backfire
Different advertising messages work for different people.
Analogical Concept Memory for Architectures Implementing the Common Model of Cognition
Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intelligent agents.
Learning to Operate in Open Worlds by Adapting Planning Models
Planning agents are ill-equipped to act in novel situations in which their domain model no longer accurately represents the world.
