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Constantin Rothkopf

Kognitionswissenschaftler

Name	Constantin Rothkopf
Place	Darmstadt (Wirkungsort) Deutschland
Gender	männlich
Academic degree	Dr.
Profession	Kognitionswissenschaftler (characteristic profession) Hochschullehrer
Variant	Constantin A. Rothkopf
Family	Kristian Kersting (Mitherausgeber)
Related	Institut für Psychologie (Darmstadt) (Professor) (2013-) Technische Universität Darmstadt. Artificial Intelligence and Machine Learning Lab (Gründungsmitglied) Hessischen Zentrum für Künstliche Intelligenz
Further information	Nach der Promotion in Gehirn- und Kognitionswissenschaften sowie in Informatik an der University of Rochester, NY war er ab 2009 als Postdoc am Frankfurt Institute for Advanced Studies (FIAS) in der theoretische Neurowissenschaften Gruppe tätig, ab 2013 Professur „Psychologie der Informationsverarbeitung“ an der Technischen Universität Darmstadt; Gründungsmitglied des Hessischen Zentrums für Künstliche Intelligenz (Hessian.AI)
Record type	Person
GND-Identifier	1201603277
Record ID	1201603277
Involved in show all A normative model for Bayesian combination of subjective probability estimates Inverse normative modeling of continuous perception and action Inverse Reinforcement Learning for Human Decision-Making Under Uncertainty People learn a two-stage control for faster locomotor interception Reinforcement Learning with Non-Exponential Discounting Solving Bongard Problems With a Visual Language and Pragmatic Constraints Towards a taxonomy of tasks for human sequential decision-making Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties Modelling dataset bias in machine-learned theories of economic decision-making Active vision as sequential decision-making under uncertainty Bayesian fusion of probabilistic forecasts Parameter estimation for a bivariate beta distribution with arbitrary beta marginals and positive correlation People learn a two-stage control for faster locomotor interception Catching heuristics are optimal control policies Interacting with an uncertain physical world: probabilistic models of human perception and action Learning Intention Aware Online Adaptation of Movement Primitives Looking for Image Statistics: Active Vision With Avatars in a Naturalistic Virtual Environment Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics The Moral Choice Machine Learning in the eyes: specific changes in gaze patterns track explicit and implicit visual learning Multi-step planning of eye movements in visual search Multi-step planning of eye movements in visual search The visual control of interceptive steering: How do people steer a car to intercept a moving target? Wie Maschinen lernen : künstliche Intelligenz verständlich erklärt Wie Maschinen lernen : Künstliche Intelligenz verständlich erklärt A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity Infants in control: Rapid anticipation of action outcomes in a gaze-contingent paradigm Bayesian cue integration as a developmental outcome of reward mediated learning

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Katalog der Deutschen Nationalbibliothek

Constantin Rothkopf

A normative model for Bayesian combination of subjective probability estimates

Inverse normative modeling of continuous perception and action

Inverse Reinforcement Learning for Human Decision-Making Under Uncertainty

People learn a two-stage control for faster locomotor interception

Reinforcement Learning with Non-Exponential Discounting

Solving Bongard Problems With a Visual Language and Pragmatic Constraints

Towards a taxonomy of tasks for human sequential decision-making

Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind

Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties

Modelling dataset bias in machine-learned theories of economic decision-making

Active vision as sequential decision-making under uncertainty

Bayesian fusion of probabilistic forecasts

Parameter estimation for a bivariate beta distribution with arbitrary beta marginals and positive correlation

People learn a two-stage control for faster locomotor interception

Catching heuristics are optimal control policies

Interacting with an uncertain physical world: probabilistic models of human perception and action

Learning Intention Aware Online Adaptation of Movement Primitives

Looking for Image Statistics: Active Vision With Avatars in a Naturalistic Virtual Environment

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction

Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics

The Moral Choice Machine

Learning in the eyes: specific changes in gaze patterns track explicit and implicit visual learning

Multi-step planning of eye movements in visual search

Multi-step planning of eye movements in visual search

The visual control of interceptive steering: How do people steer a car to intercept a moving target?

Wie Maschinen lernen : künstliche Intelligenz verständlich erklärt

Wie Maschinen lernen : Künstliche Intelligenz verständlich erklärt

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity

Infants in control: Rapid anticipation of action outcomes in a gaze-contingent paradigm

Bayesian cue integration as a developmental outcome of reward mediated learning