AFOSR Computational Cognition and Machine IntelligenceProgram Review, October 2020
Panos Artemiadis, UNIVERSITY OF DELAWAREA human-machine symbiotic system for the extraction of high-level behaviors from a macroscopic view of swarms
Brett Borghetti, Air Force Institute of Technology (AFIT)Information Acquisition Deficit Detection and Mitigation through Neurophysiological-sensed Operator Patterns
Selmer Bringsjord, RENSSELAER POLYTECHNICGreat Computational Intelligence, Mature and Further Applied
Jerome Busemeyer, INDIANA UNIVERSITYApplications of quantum probability theory to human-machine communication networks
Jonathan Cagan, CARNEGIE MELLON UNIVERSITYEmpowering the problem solving team through a computer-human partnership
Leon Chua, UNIVERSITY OF CALIFORNIA BERKELEYExploiting Memristors and The Local Activity Principle
Anca Dragan, UNIVERSITY OF CALIFORNIA BERKELEYImplicit Communication in Human-Machine Collaboration
Edmund Durfee, UNIVERSITY OF MICHIGANMaking and Keeping Informed Commitments in Human-Machine Systems
Chris Eliasmith, UNIVERSITY OF WATERLOOLearning in large-scale models of biological cognition
Kenneth Forbus, NORTHWESTERN UNIVERSITYTowards Software Apprentices that Learn in Dynamic Domains
Thomas Griffiths, PRINCETON UNIVERSITYDiscovering Optimal Strategies for Bounded Agents
Leslie Kaelbling, MASSACHUSETTS INSTITUTE OF TECHNOLOGYLearning to Plan in Hybrid Spaces
John Laird, UNIVERSITY OF MICHIGANLevels of Learning in Natural and Artificial Agents
John Laird, UNIVERSITY OF MICHIGANInteractive Task Learning
John Licato, UNIVERSITY OF SOUTH FLORIDAActive Formalization in Artificial and Human Reasoners
Roger Mailler, UNIVERSITY OF TULSAChoosing a Direction: Neural Models of Decision Making
Mark Pitt, OHIO STATE UNIVERSITYRobust Autonomous Adaptive Experimentation
Andrea Stocco, UNIVERSITY OF WASHINGTONTesting a Common Model for Human and Human-Like Intelligence
Katia Sycara, CARNEGIE MELLON UNIVERSITYFlexible and Resilient Autonomous Systems
John Tsotsos, YORK UNIVERSITYVisual Perception and Reasoning: Integrating Cognitive Programs, Working Memory, Attention Control and Visual Processing
Kagan Tumer, OREGON STATE UNIV CORVALLISCounterfactuals and Multiple Rewards: Inducing and Explaining Good Team Behavior for Effective Agent-Human Teaming