Decision making involves fundamental research into the knowledge and the strategies that people bring to bear in reasoning and in solving problems. This pursuit raises issues of knowledge-acquisition, learning, and representation, and makes close contact with purely formal and computational studies in computational logic and artificial intelligence.

 

Affiliated Faculty

  • Abdeslam Boularias

    Machine learning, robotics, planning and learning in partially observable domains, reinforcement learning.

     

    Robot Learning Lab Website

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  • Alan Leslie

    Conceptual development and the representation of the physical world, of Agency, and of "theory of mind" in infants and preschoolers; also their impairment in autism.

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    Cognitive Development Laboratory (CDL) Website

  • Anna Konova

    Dept. of Psychiatry

    Clinical translational neuroscience of addiction, brain imaging, decision neuroscience, computational psychiatry

    Konova Lab Website

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  • Barry Loewer

    Philosophical problems concerning intentionality and consciousness; issues of non-monotonic reasoning.

    Personal Website

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  • Barry Sopher

    Experimental Economics, Decision and Game Theory, Uncertainty and Information Economics

    Center for Economic Behavior, Institutions and Design (CEBID) Website

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  • Casimir Kulikowski

    Image interpretation using planning and learning techniques; methods of theory formation for classification, configuration, planning and design problems with biomedical applications.

     

    Personal Website

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  • David Margolis

     

    Sensory processing, decision-making, and neural plasticity in mice. Record and manipulate specific neurons and neural circuits as mice perform learned tactile behaviors to understand sensory-guided decision-making from the synaptic to the network levels. We are also interested in how brain injury and neurological disorders impact neuronal activity and behavior.

    Margolis Lab Website

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  • David Zald

    RBHS/Brain Health Institute

    Affective neuroscience, the interaction of emotion with attention and decision-making, and the neural substrates of these functions in both health and neuropsychiatric illness.

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    Center for Advanced Human Brain Imaging Research Website

  • Elizabeth Torres

    My interest lies in the study of voluntary actions in general and the emergence of symbolic intelligence from them. In particular, I have been studying natural voluntary arm movements in the context of reaching for and grasping an object, obstacle avoidance, the acquisition and retrieval of a motor program, and more recently on the performance of a parietal patient and of patients with Parkinson's disease. I am also doing research on autism.

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    Sensory Motor Integration Lab (SMIL) Website

  • Jacob Feldman

    Formal, computational and empirical studies of categorization, shape representation, grouping and perceptual inference in visual perception.

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    Personal Website | Visual Cognition Lab (VCL) Website

  • Jenny Wang

    Jenny Wang investigates the origins of our knowledge, how we master complicated concepts (such as mathematics), and how we learn about the world around us.

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    Personal Website

  • Judith Hudson

    Cognitive development; autobiographic memory and development of planning skills.

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  • Julien Musolino

    Specializes in psycholinguistics and research focuses on language acquisition and language processing.

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    Human Computational Cognition Lab

  • Konstantinos Michmizos

    Basic Research: Computational Modeling of Sensorimotor Behavior, Psychophysics, Functional Neuroimaging

    Applied research: Rehabilitation Games for children with disabilities, Robotic Neurorehabilitation

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    Computational Brain Lab (COMBRA) Website

  • Kostas Bekris

    Motion and task planning for autonomous robots; Integration of perception and planning for manipulating and interacting with the physical world; Coordination of multiple physical agents, including human-robot interaction.

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    PRACSYS Lab Website

  • Manish Singh

    Formal and empirical study of visual object and surface representations. Part-based description of object shape; Computation of surface structure under partial occlusion and transparency; Visual attention.

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    Personal Website

  • Matthew Stone

    Reasoning systems for natural language generation and human-computer interaction; formal models of plans, context and mutual knowledge, and linguistic meaning and interpretation.

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    Personal Website | Intelligent Systems

  • Mubbasir Kapadia

    Aims to develop agent-centric models for simulating crowd dynamics that challenge foundational assumptions in crowd modeling, while providing solutions that are validated using comparisons to real data, and virtual reality experiments. These solutions can be used to optimize the behavioral dynamics of real crowds and model the relationships between crowd flow and environment features, with applications in predictive analytics and crowd management, and environment layout design. His other research interests include real-time multi-agent planning, character animation for autonomous virtual humans, and digital storytelling.

    Personal Website

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  • Nuria Sagarra

    Psycholinguistics: linguistic and cognitive factors modulating morphosyntactic processing in adult learners (e.g., executive control, cognitive load, language experience), using behavioral (eye tracking, self-paced reading) and electrophysiological (ERPs) techniques.

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  • Pernille Hemmer

    The influence of prior knowledge on memory and decision making in naturalistic environments.

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    Priors and Memory (PRIME) Lab Website

  • Shana Cole

    Social cognitive and perceptual processes involved in successful goal pursuit; self-regulation and self-control.

    Regulation, Action, and Motivated Perception (RAMP) Lab

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  • Sharon Lee Armstrong

    Clinical Counseling Psychology

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  • Stephen Jose Hanson

    Research focuses on learning, categorization, connectionist models, neural networks, cognitive, mathematical and computational modeling.

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    Rutgers University Brain Imaging Center (RUBIC) Website

  • Vladimir Pavlovic

    Vladimir's research interests include Bayesian system modeling, time-series analysis, and statistical computer vision. More recently, his research has focused on modeling of human emotions and affect, as well as design of fast, robust, face tracking and identification systems. He is also interested in modeling and analysis of human crowd behavior from the perspective of distributed sensing and decision making systems.

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    Sequence Analysis and Modeling Lab (SEQAMLAB) Website