Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems. - Wolfgang Stolzmann; Martin V. Butz (Learning Classifier Systems, 1999)

Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (GECCO, 2000)

Probability-Enhanced Predictions in the Anticipatory Classifier System. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (IWLCS, 2000)

Investigating Generalization in the Anticipatory Classifier System. - Martin V. Butz; David E. Goldberg; Wolfgang Stolzmann (PPSN, 2000)

Biasing Exploration in an Anticipatory Learning Classifier System. - Martin V. Butz (IWLCS, 2001)

An Algorithmic Description of ACS2. - Martin V. Butz; Wolfgang Stolzmann (IWLCS, 2001)

Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System. - Martin V. Butz; Joachim Hoffmann (Adapt. Behav., 2002)

An algorithmic description of XCS. - Martin V. Butz; Stewart W. Wilson (Soft Comput., 2002)

Generalized State Values in an Anticipatory Learning Classifier System. - Martin V. Butz; David E. Goldberg (ABiALS, 2003)

Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. - Martin V. Butz; Olivier Sigaud; Pierre Gérard (ABiALS, 2003)

Internal Models and Anticipations in Adaptive Learning Systems. - Martin V. Butz; Olivier Sigaud; Pierre Gérard (ABiALS, 2003)

Bounding the Population Size in XCS to Ensure Reproductive Opportunities. - Martin V. Butz; David E. Goldberg (GECCO, 2003)

Tournament Selection: Stable Fitness Pressure in XCS. - Martin V. Butz; Kumara Sastry; David E. Goldberg (GECCO, 2003)

Towards Building Block Propagation in XCS: A Negative Result and Its Implications. - Kurian K. Tharakunnel; Martin V. Butz; David E. Goldberg (GECCO, 2003)

Bidirectional ARTMAP: an artificial mirror neuron system. - Martin V. Butz; Sylvian R. Ray (IJCNN, 2003)

Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. - Martin V. Butz; David E. Goldberg; Kurian K. Tharakunnel (Evol. Comput., 2003)

Bounding Learning Time in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (GECCO (2), 2004)

Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. - Jaume Bacardit; David E. Goldberg; Martin V. Butz; Xavier Llorà; Josep Maria Garrell i Guiu (PPSN, 2004)

Knowledge Extraction and Problem Structure Identification in XCS. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; David E. Goldberg (PPSN, 2004)

Toward a theory of generalization and learning in XCS. - Martin V. Butz; Tim Kovacs; Pier Luca Lanzi; Stewart W. Wilson (IEEE Trans. Evol. Comput., 2004)

Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction - Martin V. Butz (2004)

Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. - Martin V. Butz (GECCO, 2005)

Extracted global structure makes local building block processing effective in XCS. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (GECCO, 2005)

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. - Arnaud Quirin; Jerzy Korczak 001; Martin V. Butz; David E. Goldberg (ISDA, 2005)

Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. - Jaume Bacardit; Martin V. Butz (IWLCS, 2005)

Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. - Jaume Bacardit; David E. Goldberg; Martin V. Butz (IWLCS, 2005)

Effect of Pure Error-Based Fitness in XCS. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IWLCS, 2005)

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. - Martin V. Butz; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2005)

Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2005)

Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design - Martin V. Butz (Springer, 2006)

Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. - Martin V. Butz; Pier Luca Lanzi; Stewart W. Wilson (GECCO, 2006)

Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. - Martin V. Butz; Martin Pelikan (GECCO, 2006)

Hierarchical BOA on random decomposable problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (GECCO, 2006)

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg; Fernando G. Lobo (PPSN, 2006)

Performance of Evolutionary Algorithms on Random Decomposable Problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (PPSN, 2006)

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. - Martin V. Butz; Olivier Sigaud; Giovanni Pezzulo; Gianluca Baldassarre (SAB ABiALS, 2006)

From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. - Giovanni Pezzulo; Gianluca Baldassarre; Martin V. Butz; Cristiano Castelfranchi; Joachim Hoffmann (SAB ABiALS, 2006)

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (Evol. Comput., 2006)

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. - Martin V. Butz; Martin Pelikan; Xavier Llorà; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Learning classifier systems. - Martin V. Butz (GECCO (Companion), 2007)

Empirical analysis of generalization and learning in XCS with gradient descent. - Pier Luca Lanzi; Martin V. Butz; David E. Goldberg (GECCO, 2007)

Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. - Martin V. Butz (HIS, 2007)

Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. - Martin V. Butz; Alexandra Lenhard; Oliver Herbort (IJCNN, 2007)

Encoding Complete Body Models Enables Task Dependent Optimal Behavior. - Oliver Herbort; Martin V. Butz (IJCNN, 2007)

Learning Classifier Systems: Looking Back and Glimpsing Ahead. - Jaume Bacardit; Ester Bernadó-Mansilla; Martin V. Butz (IWLCS, 2007)

Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg. - Joachim Hoffmann; Michael Berner; Martin V. Butz; Oliver Herbort; Andrea Kiesel; Wilfried Kunde; Alexandra Lenhard (Cogn. Process., 2007)

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi; Kumara Sastry (Genet. Program. Evolvable Mach., 2007)

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. - Giovanni Pezzulo; Martin V. Butz; Olivier Sigaud; Gianluca Baldassarre (ABiALS, 2008)

Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. - Olivier Sigaud; Martin V. Butz; Olga Kozlova; Christophe Meyer (ABiALS, 2008)

Context-dependent predictions and cognitive arm control with XCSF. - Martin V. Butz; Oliver Herbort (GECCO, 2008)

An analysis of matching in learning classifier systems. - Martin V. Butz; Pier Luca Lanzi; Xavier Llorà; Daniele Loiacono (GECCO, 2008)

Self-adaptive mutation in XCSF. - Martin V. Butz; Patrick O. Stalph; Pier Luca Lanzi (GECCO, 2008)

Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. - Patrick O. Stalph; Martin V. Butz (GECCO (Companion), 2008)

Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. - Franziska Klügl; Reinhard Hatko; Martin V. Butz (MATES, 2008)

Sensomotorische Raumrepräsentationen. - Martin V. Butz (Inform. Spektrum, 2008)

Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. - Martin V. Butz; Pier Luca Lanzi; Stewart W. Wilson (IEEE Trans. Evol. Comput., 2008)

Anticipatory, Goal-Directed Behavior. - Martin V. Butz; Oliver Herbort; Giovanni Pezzulo (The Challenge of Anticipation, 2008)

Benefits of Anticipations in Cognitive Agents. - Martin V. Butz; Giovanni Pezzulo (The Challenge of Anticipation, 2008)

The Anticipatory Approach: Definitions and Taxonomies. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi (The Challenge of Anticipation, 2008)

Introduction: Anticipation in Natural and Artificial Cognition. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi; Rino Falcone (The Challenge of Anticipation, 2008)

Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi; Rino Falcone; Gianluca Baldassarre; Christian Balkenius; Alexander Förster; Maurice Grinberg; Oliver Herbort; Kiril Kiryazov; Boicho N. Kokinov; Birger Johansson; et al. (The Challenge of Anticipation, 2008)

Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. - Martin V. Butz; Thies D. Lönneker (CIG, 2009)

Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. - Martin V. Butz; Gerulf K. M. Pedersen; Patrick O. Stalph (GECCO, 2009)

NEAT in increasingly non-linear control situations. - Matthias J. Linhardt; Martin V. Butz (GECCO (Companion), 2009)

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. - Martin Pelikan; Kumara Sastry; David E. Goldberg; Martin V. Butz; Mark Hauschild (GECCO, 2009)

On the scalability of XCS(F). - Patrick O. Stalph; Martin V. Butz; David E. Goldberg; Xavier Llorà (GECCO, 2009)

Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system. - Elshad Shirinov; Martin V. Butz (ALIFE, 2009)

How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF. - Patrick O. Stalph; Martin V. Butz (IWLCS, 2009)

Current XCSF Capabilities and Challenges. - Patrick O. Stalph; Martin V. Butz (IWLCS, 2009)

The Scared Robot: Motivations in a Simulated Robot Arm. - Martin V. Butz; Gerulf K. M. Pedersen (KI, 2009)

Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. - Patrick O. Stalph; Martin V. Butz; Gerulf K. M. Pedersen (KI, 2009)

Sequential problems that test generalization in learning classifier systems. - Martin V. Butz; Pier Luca Lanzi (Evol. Intell., 2009)

Evolving robust controller parameters using covariance matrix adaptation. - Gerulf K. M. Pedersen; Martin V. Butz (GECCO, 2010)

A comparative study: function approximation with LWPR and XCSF. - Patrick O. Stalph; Jérémie Rubinsztajn; Olivier Sigaud; Martin V. Butz (GECCO (Companion), 2010)

Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior. - Martin V. Butz; Elshad Shirinov; Kevin L. Reif (Adapt. Behav., 2010)

The 2009 Simulated Car Racing Championship. - Daniele Loiacono; Pier Luca Lanzi; Julian Togelius; Enrique Onieva; David A. Pelta; Martin V. Butz; Thies D. Lönneker; Luigi Cardamone; Diego Perez Liebana; Yago Sáez; Mike Preuss; Jan Quadflieg (IEEE Trans. Comput. Intell. AI Games, 2010)

The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics. - Oliver Herbort; Martin V. Butz; Gerulf K. M. Pedersen (From Motor Learning to Interaction Learning in Robots, 2010)

Modularization of xcsf for multiple output dimensions. - Martin V. Butz; Patrick O. Stalph (GECCO, 2011)

Extracting adaptation strategies for e-learning programs with XCS. - Anke Endler; Martin V. Butz; Günter Daniel Rey (GECCO (Companion), 2011)

A modular, redundant, multi-frame of reference representation for kinematic chains. - Stephan Ehrenfeld; Martin V. Butz (ICRA, 2011)

Tracking moving vehicles using an advanced grid-based Bayesian filter approach. - Andreas Alin; Martin V. Butz; Jannik Fritsch (Intelligent Vehicles Symposium, 2011)

Simultaneously emerging Braitenberg codes and compositionality. - Yuuya Sugita; Jun Tani; Martin V. Butz (Adapt. Behav., 2011)

Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands. - Martin V. Butz; Matthias J. Linhardt; Thies D. Lönneker (IEEE Trans. Comput. Intell. AI Games, 2011)

Filtering sensory information with XCSF: improving learning robustness and control performance. - Jan Kneissler; Patrick O. Stalph; Jan Drugowitsch; Martin V. Butz (GECCO, 2012)

Guided evolution in XCSF. - Patrick O. Stalph; Martin V. Butz (GECCO, 2012)

Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. - Danil Koryakin; Martin V. Butz (ICANN (1), 2012)

Autonomous failure detection and multimodal sensor fusion in a modular arm model. - Stephan Ehrenfeld; Martin V. Butz (IROS, 2012)

Incorporating environmental knowledge into Bayesian filtering using attractor functions. - Andreas Alin; Martin V. Butz; Jannik Fritsch (Intelligent Vehicles Symposium, 2012)

Modeling body state-dependent multisensory integration. - Martin V. Butz; Anna Belardinelli; Stephan Ehrenfeld (Cogn. Process., 2012)

XCSF with local deletion: preventing detrimental forgetting. - Martin V. Butz; Olivier Sigaud (Evol. Intell., 2012)

Function approximation with LWPR and XCSF: a comparative study. - Patrick O. Stalph; Jérémie Rubinsztajn; Olivier Sigaud; Martin V. Butz (Evol. Intell., 2012)

Learning local linear Jacobians for flexible and adaptive robot arm control. - Patrick O. Stalph; Martin V. Butz (Genet. Program. Evolvable Mach., 2012)

Balanced echo state networks. - Danil Koryakin; Johannes Lohmann; Martin V. Butz (Neural Networks, 2012)

Resource management and scalability of the XCSF learning classifier system. - Patrick O. Stalph; Xavier Llorà; David E. Goldberg; Martin V. Butz (Theor. Comput. Sci., 2012)

Modular, Multimodal Arm Control Models. - Stephan Ehrenfeld; Oliver Herbort; Martin V. Butz (Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013)

Gaze strategies in object identification and manipulation. - Anna Belardinelli; Martin V. Butz (CogSci, 2013)

Modeling Continuous Representations in Visual Working Memory. - Johannes Lohmann; Martin V. Butz (CogSci, 2013)

Search in Real-Time Video Games. - Peter I. Cowling; Michael Buro; Michal Bída; Adi Botea; Bruno Bouzy; Martin V. Butz; Philip Hingston; Hector Muñoz-Avila; Dana S. Nau; Moshe Sipper (Artificial and Computational Intelligence in Games, 2013)

Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering. - Andreas Alin; Jannik Fritsch; Martin V. Butz (ITSC, 2013)

Fully Self-Supervised Learning of an Arm Model. - Martin V. Butz; Armin Gufler; Konstantin Schmid; Fabian Schrodt (LWA, 2013)

The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion. - Stephan Ehrenfeld; Martin V. Butz (Biol. Cybern., 2013)

Modeling the temporal dynamics of visual working memory. - Johannes Lohmann; Oliver Herbort; Martin V. Butz (Cogn. Syst. Res., 2013)

Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference. - Stephan Ehrenfeld; Oliver Herbort; Martin V. Butz (Frontiers Comput. Neurosci., 2013)

Modeling Simultanagnosia. - Anna Belardinelli; Johannes Kurz; Esther Kutter; Heiko Neumann; Hans-Otto Karnath; Martin V. Butz (CogSci, 2014)

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (CogSci, 2014)

Learning Spatial Transformations Using Structured Gain-Field Networks. - Jan Kneissler; Martin V. Butz (ICANN, 2014)

Modeling perspective-taking upon observation of 3D biological motion. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (ICDL-EPIROB, 2014)

Report on the Thirty-Fifth Annual Cognitive Science Conference. - Anna Belardinelli; Martin V. Butz (AI Mag., 2014)

Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance. - Jan Kneissler; Patrick O. Stalph; Jan Drugowitsch; Martin V. Butz (Evol. Comput., 2014)

It's all in the eye: multiple orders of motor planning in gaze control. - Anna Belardinelli; Martin V. Butz (CogSci, 2015)

An Automatized Heider-Simmel Story Generation Tool. - Martin V. Butz; Robert Geirhos; Jan Kneissler (CogSci, 2015)

Learning Recurrent Dynamics using Differential Evolution. - Sebastian Otte; Fabian Becker; Martin V. Butz; Marcus Liwicki; Andreas Zell (ESANN, 2015)

Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering. - Jan Kneissler; Jan Drugowitsch; Karl J. Friston; Martin V. Butz (Frontiers Comput. Neurosci., 2015)

Embodied learning of a generative neural model for biological motion perception and inference. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (Frontiers Comput. Neurosci., 2015)

Learning Classifier Systems. - Martin V. Butz (Handbook of Computational Intelligence, 2015)

Human-object interaction understanding without objects. - Anna Belardinelli; Johannes Lohmann; Martin V. Butz (CogSci, 2016)

Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. - Martin V. Butz; Mihael Simonic; Marcel Binz; Jonas Einig; Stephan Ehrenfeld; Fabian Schrodt (CogSci, 2016)

Learning Behavior-Grounded Event Segmentations. - Christian Gumbsch; Jan Kneissler; Martin V. Butz (CogSci, 2016)

An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario. - Fabian Schrodt; Yves Röhm; Martin V. Butz (EUCognition, 2016)

Learning where to search using visual attention. - Alina Kloss; Daniel Kappler; Hendrik P. A. Lensch; Martin V. Butz; Stefan Schaal; Jeannette Bohg (IROS, 2016)

Outline of a sensory-motor perspective on intrinsically moral agents. - Christian Balkenius; Lola Cañamero; Philip Pärnamets; Birger Johansson; Martin V. Butz; Andreas Olsson (Adapt. Behav., 2016)

Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects. - Philipp A. Schroeder; Johannes Lohmann; Martin V. Butz; Christian Plewnia (Cyberpsychology Behav. Soc. Netw., 2016)

Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture. - Fabian Schrodt; Martin V. Butz (Frontiers Robotics AI, 2016)

Optimizing recurrent reservoirs with neuro-evolution. - Sebastian Otte; Martin V. Butz; Danil Koryakin; Fabian Becker; Marcus Liwicki; Andreas Zell (Neurocomputing, 2016)

Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation. - Anna Belardinelli; Johannes Lohmann; Martin V. Butz (CogSci, 2017)

Game-XP: Action Games as Cognitive Science Paradigms. - Wayne D. Gray; Ray S. Perez; Martin V. Butz; Stuart Reeves; Matthew Sangster; Tom Stafford 002; Fernand Gobet (CogSci, 2017)

A Computational Model for the Dynamical Learning of Event Taxonomies. - Christian Gumbsch; Sebastian Otte; Martin V. Butz (CogSci, 2017)

Reference Systems in Spatial Memory for Vertical Locations. - Thomas Hinterecker; Caroline Leroy; Maximilian E. Kirschhock; Mintao Zhao; Martin V. Butz; Heinrich H. Bülthoff; Tobias Meilinger (CogSci, 2017)

Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions. - Johannes Lohmann; Jakob Gütschow; Martin V. Butz (CogSci, 2017)

Anticipatory Active Inference from Learned Recurrent Neural Forward Models. - Sebastian Otte; Theresa Schmitt; Martin V. Butz (CogSci, 2017)

Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. - Fabian Schrodt; Martin V. Butz (CogSci, 2017)

Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. - Sebastian Otte; Theresa Schmitt; Karl J. Friston; Martin V. Butz (ICANN (1), 2017)

Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. - Sebastian Otte; Adrian Zwiener; Martin V. Butz (ICANN (1), 2017)

Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference. - Johannes Lohmann; Martin V. Butz (Cogn. Process., 2017)

Mario Becomes Cognitive. - Fabian Schrodt; Jan Kneissler; Stephan Ehrenfeld; Martin V. Butz (Top. Cogn. Sci., 2017)

Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error. - Jacques Kaiser; Svenja Melbaum; Juan Camilo Vasquez Tieck; Arne Roennau; Martin V. Butz; Rüdiger Dillmann (BioRob, 2018)

REPRISE: A Retrospective and Prospective Inference Scheme. - Martin V. Butz; David K. Bilkey; Alistair Knott; Sebastian Otte (CogSci, 2018)

Symposium on Event Predictive Cognition. - Martin V. Butz; Alistair Knott (CogSci, 2018)

Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions. - Johannes Lohmann; Anna Belardinelli; Martin V. Butz (CogSci, 2018)

Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. - Sebastian Otte; Lea Hofmaier; Martin V. Butz (ICANN (3), 2018)

Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment. - Peter Gerjets; Martin Lachmair; Martin V. Butz; Johannes Lohmann (VR, 2018)

Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture. - Johannes Lohmann; Martin V. Butz (CogSci, 2019)

On the purpose of ambiguous utterances. - Gregory Scontras; Asya Achimova; Christian Stegemann; Martin V. Butz (CogSci, 2019)

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. - Martin V. Butz; Tobias Menge; Dania Humaidan; Sebastian Otte (ICANN (1), 2019)

Gradient-Based Learning of Compositional Dynamics with Modular RNNs. - Sebastian Otte; Patricia Rubisch; Martin V. Butz (ICANN (1), 2019)

Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. - Sebastian Otte; Jakob Stoll; Martin V. Butz (ICANN (4), 2019)

Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course. - Katerina Tsarava; Luzia Leifheit; Manuel Ninaus; Marcos Román-González; Martin V. Butz; Jessika Golle; Ulrich Trautwein; Korbinian Moeller (WiPSCE, 2019)

Learning, planning, and control in a monolithic neural event inference architecture. - Martin V. Butz; David K. Bilkey; Dania Humaidan; Alistair Knott; Sebastian Otte (Neural Networks, 2019)

Bayesian inference in dialogue. - Asya Achimova; Ella I. Eisemann; Martin V. Butz (CogSci, 2020)

Hands in Thought and Motion. - Johannes Lohmann; Martin V. Butz (CogSci, 2020)

Sequence Classification using Ensembles of Recurrent Generative Expert Modules. - Marius Hobbhahn; Martin V. Butz; Sarah Fabi; Sebastian Otte (ESANN, 2020)

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ESANN, 2020)

Investigating Efficient Learning and Compositionality in Generative LSTM Networks. - Sarah Fabi; Sebastian Otte; Jonas Gregor Wiese; Martin V. Butz (ICANN (1), 2020)

Fostering Event Compression Using Gated Surprise. - Dania Humaidan; Sebastian Otte; Martin V. Butz (ICANN (1), 2020)

Inferring, Predicting, and Denoising Causal Wave Dynamics. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (1), 2020)

Learning Precise Spike Timings with Eligibility Traces. - Manuel Traub; Martin V. Butz; R. Harald Baayen; Sebastian Otte (ICANN (2), 2020)

Hidden Latent State Inference in a Spatio-Temporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (CoRR, 2020)

Active Tuning. - Sebastian Otte; Matthias Karlbauer; Martin V. Butz (CoRR, 2020)

Hierarchical principles of embodied reinforcement learning: A review. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (CoRR, 2020)

I see where this is going: Modeling the development of infants' goal-predictive gaze. - Christian Gumbsch; Maurits Adam; Birgit Elsner; Martin V. Butz (CogSci, 2021)

Latent Event-Predictive Encodings through Counterfactual Regularization. - Dania Humaidan; Sebastian Otte; Christian Gumbsch; Charley M. Wu; Martin V. Butz (CogSci, 2021)

Can Action Bias the Perception of Ambiguous Auditory Stimuli? - Johannes Lohmann; Martin V. Butz (CogSci, 2021)

Speakers Use More Informative Referring Expressions to Describe Surprising Events. - Christian Stegemann-Philipps; Martin V. Butz; Susanne Winkler; Asya Achimova (CogSci, 2021)

Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach. - Patrick Weigert; Johannes Lohmann; Martin V. Butz (CogSci, 2021)

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. - Melvin Ciurletti; Manuel Traub; Matthias Karlbauer; Martin V. Butz; Sebastian Otte (ICANN (5), 2021)

Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge. - Sarah Fabi; Sebastian Otte; Martin V. Butz (ICANN (2), 2021)

Latent State Inference in a Spatiotemporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (4), 2021)

Binding and Perspective Taking as Inference in a Generative Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICANN (3), 2021)

Dynamic Action Inference with Recurrent Spiking Neural Networks. - Manuel Traub; Martin V. Butz; Robert Legenstein; Sebastian Otte (ICANN (5), 2021)

Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model. - Mahdi Sadeghi; Fabian Schrodt; Sebastian Otte; Martin V. Butz (ICDL, 2021)

Learn It First: Grounding Language in Compositional Event-Predictive Encodings. - Christian Stegemann-Philipps; Martin V. Butz (ICDL, 2021)

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. - Christian Gumbsch; Martin V. Butz; Georg Martius (NeurIPS, 2021)

Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference. - Christian Gumbsch; Maurits Adam; Birgit Elsner; Martin V. Butz (Cogn. Sci., 2021)

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfgang Nowak (CoRR, 2021)

Towards Strong AI. - Martin V. Butz (Künstliche Intell., 2021)

Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. - Christian Gumbsch; Martin V. Butz; Georg Martius (IEEE Trans. Cogn. Dev. Syst., 2021)

Event-Predictive Cognition: A Root for Conceptual Human Thought. - Martin V. Butz; Asya Achimova; David K. Bilkey; Alistair Knott (Top. Cogn. Sci., 2021)

Understanding of Linguistic Scales in Speakers with Williams Syndrome. - Asya Achimova; Julien Musolino; Rennie Pasquinelli; Martin V. Butz; Barbara Landau (CogSci, 2022)

Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway. - Sarah Fabi; Lena Holzwarth; Martin V. Butz (CogSci, 2022)

Infering Boundary Conditions in Finite Volume Neural Networks. - Cosku Can Horuz; Matthias Karlbauer; Timothy Praditia; Martin V. Butz; Sergey Oladyshkin; Wolfgang Nowak; Sebastian Otte (ICANN (1), 2022)

Developing hierarchical anticipations via neural network-based event segmentation. - Christian Gumbsch; Maurits Adam; Birgit Elsner; Georg Martius; Martin V. Butz (ICDL, 2022)

Binding Dancers Into Attractors. - Franziska Kaltenberger; Sebastian Otte; Martin V. Butz (ICDL, 2022)

Composing Partial Differential Equations with Physics-Aware Neural Networks. - Matthias Karlbauer; Timothy Praditia; Sebastian Otte; Sergey Oladyshkin; Wolfgang Nowak; Martin V. Butz (ICML, 2022)

A cognitive definition of computational thinking in primary education. - Katerina Tsarava; Korbinian Moeller; Marcos Román-González; Jessika Golle; Luzia Leifheit; Martin V. Butz; Manuel Ninaus (Comput. Educ., 2022)

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (CoRR, 2022)

Inference of time series components by online co-evolution. - Danil Koryakin; Sebastian Otte; Martin V. Butz (Genet. Program. Evolvable Mach., 2022)

Intelligent problem-solving as integrated hierarchical reinforcement learning. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (Nat. Mach. Intell., 2022)

Inference of affordances and active motor control in simulated agents. - Fedor Scholz; Christian Gumbsch; Sebastian Otte; Martin V. Butz (Frontiers Neurorobotics, 2022)

Finite Volume Neural Network. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfang Nowak (Zenodo, 2022)

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. - Timothy Praditia; Matthias Karlbauer; Sebastian Otte; Sergey Oladyshkin; Martin V. Butz; Wolfgang Nowak (DaRUS, 2022)

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (ICLR, 2023)

Inductive biases in deep learning models for weather prediction. - Jannik Thümmel; Matthias Karlbauer; Sebastian Otte; Christiane Zarfl; Georg Martius; Nicole Ludwig 002; Thomas Scholten; Ulrich Friedrich; Volker Wulfmeyer; Bedartha Goswami; Martin V. Butz (CoRR, 2023)

Looping LOCI: Developing Object Permanence from Videos. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (CoRR, 2023)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. - Matthias Karlbauer; Nathaniel Cresswell-Clay; Raul A. Moreno; Dale R. Durran; Thorsten Kurth; Martin V. Butz (CoRR, 2023)

Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. - Sarah Fabi; Sebastian Otte; Fedor Scholz; Julius Wührer; Matthias Karlbauer; Martin V. Butz (IEEE Trans. Cogn. Dev. Syst., 2023)

Physical Domain Reconstruction with Finite Volume Neural Networks. - Cosku Can Horuz; Matthias Karlbauer; Timothy Praditia; Martin V. Butz; Sergey Oladyshkin; Wolfgang Nowak; Sebastian Otte (Appl. Artif. Intell., 2023)

Learning Object Permanence from Videos via Latent Imaginations. - Manuel Traub; Frederic Becker; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Loci-Segmented: Improving Scene Segmentation Learning. - Manuel Traub; Frederic Becker; Adrian Sauter; Sebastian Otte; Martin V. Butz (ICANN (3), 2024)

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. - Christian Gumbsch; Noor Sajid; Georg Martius; Martin V. Butz (ICLR, 2024)

Quick and Accurate Affordance Learning. - Fedor Scholz; Erik Ayari; Johannes Bertram; Martin V. Butz (CoRR, 2024)

Embodied magnitude processing: On the relation between the SNARC effect and perceived reachability. - Nadine Nicole Koch; Johannes Lohmann; Martin V. Butz; Hans-Christoph Nuerk (J. Numer. Cogn., 2024)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Rethinking Vision Transformer for Object Centric Foundation Models. - Manuel Traub; Martin V. Butz (CoRR, 2025)

Reframing attention as a reinforcement learning problem for causal discovery. - Turan Orujlu; Christian Gumbsch; Martin V. Butz; Charley M. Wu (CoRR, 2025)

Minimal Convolutional RNNs Accelerate Spatiotemporal Learning. - Cosku Can Horuz; Sebastian Otte; Martin V. Butz; Matthias Karlbauer (CoRR, 2025)