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Found 13 papers, 0 papers with code
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
The ability to interact with machines using natural human language is becoming not just commonplace, but expected.
Are Generative AI systems Capable of Supporting Information Needs of Patients?
Given the recent advancements in Generative AI models aimed at improving the healthcare system, our work investigates whether and how generative visual question answering systems can responsibly support patient information needs in the context of radiology imaging data.
Computed Tomography (CT)
Generative Visual Question Answering
+2
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Model-based reasoning agents are ill-equipped to act in novel situations in which their model of the environment no longer sufficiently represents the world.
Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+
This paper studies how a domain-independent planner and combinatorial search can be employed to play Angry Birds, a well established AI challenge problem.
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.
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.
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.
Characterizing an 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.
Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change
We leverage the common model of cognition - CMC [26] - as a framework for unifying several behavior change theories that are known to be useful in human-human coaching.
Designing an AI Health Coach and Studying its Utility in Promoting Regular Aerobic Exercise
We show that our approach can adapt the trainee program not only to several trainees with different capabilities, but also to how a trainee's capability improves as they begin to exercise more.
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.
A Computational Model for Situated Task Learning with Interactive Instruction
Learning novel tasks is a complex cognitive activity requiring the learner to acquire diverse declarative and procedural knowledge.
Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds
We propose a computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge, and experience external to the linguistic system.
