World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7358
World Ranking
6590
National Ranking
311

Overview

Martin V. Butz is affiliated with the University of Tübingen in Germany, with a primary research focus in computer science. Their work prominently spans artificial intelligence, cognitive neuroscience, and computer vision and pattern recognition. Additional subfields include social psychology and developmental and educational psychology.

The scientist's research covers a range of interrelated topics, including:

  • Action Observation and Synchronization
  • Child and Animal Learning Development
  • Embodied and Extended Cognition
  • Neural dynamics and brain function
  • Model Reduction and Neural Networks
  • Multimodal Machine Learning Applications
  • Hydrological Forecasting Using AI

Martin V. Butz has contributed to several recent scholarly publications. These include:

  • "A cognitive definition of computational thinking in primary education," 2021, Computers & Education
  • "Intelligent problem-solving as integrated hierarchical reinforcement learning," 2022, Nature Machine Intelligence
  • "Towards Strong AI," 2021, KI - Künstliche Intelligenz
  • "Event-Predictive Cognition: A Root for Conceptual Human Thought," 2020, Topics in Cognitive Science
  • "Modal and amodal cognition: an overarching principle in various domains of psychology," 2023, Psychological Research

The venues where Martin V. Butz frequently publishes include:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Frontiers in Psychology
  • PLoS ONE
  • Research Square (Research Square)

Collaborations feature prominently in their work, with frequent co-authors being:

  • Sebastian Otte
  • Matthias Karlbauer
  • Christian Gumbsch
  • Manuel Traub
  • Johannes Lohmann

Best Publications

  • An algorithmic description of XCS

    Martin V. Butz;Stewart W. Wilson

  • Toward a theory of generalization and learning in XCS

    M.V. Butz;T. Kovacs;P.L. Lanzi;S.W. Wilson

  • An Algorithmic Description of ACS2

    Martin Butz;Wolfgang Stolzmann

  • Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design

    Martin V. Butz

  • A cognitive definition of computational thinking in primary education

    Unknown

  • Anticipatory Behavior in Adaptive Learning Systems

    Giovanni Pezzulo;Martin V. Butz;Olivier Sigaud;Gianluca Baldassarre

  • Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction

    M.V. Butz;P.L. Lanzi;S.W. Wilson

  • Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems

    Martin V. Butz;Olivier Sigaud;Pierre Gérard

  • Analysis and improvement of fitness exploitation in XCS: bounding models, tournament selection, and bilateral accuracy

    Martin V. Butz;David E. Goldberg;Kurian Tharakunnel

  • The 2009 Simulated Car Racing Championship

    Daniele Loiacono;Pier Luca Lanzi;Julian Togelius;Enrique Onieva

  • Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior

    Martin V. Butz;Martin V. Butz;Olivier Sigaud;Pierre Gérard

  • Internal Models and Anticipations in Adaptive Learning Systems

    Martin V. Butz;Martin V. Butz;Olivier Sigaud;Pierre Gérard

  • An Algorithmic Description of XCS

    Martin V. Butz;Wolfgang Stolzmann

  • Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems

    M.V. Butz;D.E. Goldberg;P.L. Lanzi

  • Anticipatory learning classifier systems

    Martin V. Butz

  • Data mining in learning classifier systems: comparing XCS with GAssist

    Jaume Bacardit;Martin V. Butz

  • Data Mining in Learning Classifier Systems: Comparing XCS with GAssist.

    Jaume Bacardit;Martin V. Butz

  • Exploiting redundancy for flexible behavior: Unsupervised learning in a modular sensorimotor control architecture.

    Martin V. Butz;Oliver Herbort;Joachim Hoffmann

  • Tournament selection: stable fitness pressure in XCS

    Martin V. Butz;Kumara Sastry;David E. Goldberg

  • How XCS evolves accurate classifiers

    Martin V. Butz;Tim Kovacs;Pier Luca Lanzi;Stewart W. Wilson

  • Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system

    Martin V. Butz

Frequent Co-Authors

David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan
Olivier Sigaud
Olivier Sigaud Sorbonne University
Giovanni Pezzulo
Giovanni Pezzulo National Academies of Sciences, Engineering, and Medicine
Jaume Bacardit
Jaume Bacardit Newcastle University
Martin Pelikan
Martin Pelikan University of Missouri
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Joachim Hoffmann
Joachim Hoffmann University of Würzburg
Gianluca Baldassarre
Gianluca Baldassarre National Academies of Sciences, Engineering, and Medicine
Cristiano Castelfranchi
Cristiano Castelfranchi National Research Council (CNR)

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