Martin V. Butz
Orcid: 0000-0002-8120-8537Affiliations:
- Eberhard Karls University of Tübingen, Wilhelm Schickard Institute for Computer Science, Germany
- University of Würzburg, Department of Cognitive Psychology, Germany
According to our database1,
Martin V. Butz
authored at least 202 papers
between 1999 and 2024.
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Bibliography
2024
Embodied magnitude processing: On the relation between the SNARC effect and perceived reachability.
J. Numer. Cogn., 2024
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Appl. Artif. Intell., December, 2023
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set.
IEEE Trans. Cogn. Dev. Syst., 2023
CoRR, 2023
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network.
Dataset, November, 2022
Frontiers Neurorobotics, September, 2022
Nat. Mach. Intell., 2022
Genet. Program. Evolvable Mach., 2022
CoRR, 2022
Comput. Educ., 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Development and Learning, 2022
Proceedings of the IEEE International Conference on Development and Learning, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
2021
Top. Cogn. Sci., 2021
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives.
IEEE Trans. Cogn. Dev. Syst., 2021
Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference.
Cogn. Sci., 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Development and Learning, 2021
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model.
Proceedings of the IEEE International Conference on Development and Learning, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
I see where this is going: Modeling the development of infants' goal-predictive gaze.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
Neural Networks, 2019
Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course.
Proceedings of the 14th Workshop in Primary and Secondary Computing Education, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference.
Cogn. Process., 2017
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2016
Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture.
Frontiers Robotics AI, 2016
Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects.
Cyberpsychology Behav. Soc. Netw., 2016
Adapt. Behav., 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the Cognitive Robot Architectures, 2016
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Embodied learning of a generative neural model for biological motion perception and inference.
Frontiers Comput. Neurosci., 2015
Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering.
Frontiers Comput. Neurosci., 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
2014
Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance.
Evol. Comput., 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference.
Frontiers Comput. Neurosci., 2013
The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion.
Biol. Cybern., 2013
Fully Self-Supervised Learning of an Arm Model.
Proceedings of the LWA 2013. Lernen, 2013
Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
Proceedings of the Artificial and Computational Intelligence in Games, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013
2012
Theor. Comput. Sci., 2012
Genet. Program. Evolvable Mach., 2012
Incorporating environmental knowledge into Bayesian filtering using attractor functions.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Filtering sensory information with XCSF: improving learning robustness and control performance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands.
IEEE Trans. Comput. Intell. AI Games, 2011
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010
IEEE Trans. Comput. Intell. AI Games, 2010
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior.
Adapt. Behav., 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Evol. Intell., 2009
Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the Learning Classifier Systems, 2009
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF.
Proceedings of the Learning Classifier Systems, 2009
Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009
2008
Proceedings of the Challenge of Anticipation, 2008
Proceedings of the Challenge of Anticipation, 2008
Proceedings of the Challenge of Anticipation, 2008
Proceedings of the Challenge of Anticipation, 2008
Proceedings of the Challenge of Anticipation, 2008
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction.
IEEE Trans. Evol. Comput., 2008
Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems.
Proceedings of the Multiagent System Technologies, 6th German Conference, 2008
Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008
From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008
2007
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity.
Genet. Program. Evolvable Mach., 2007
Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg.
Cogn. Process., 2007
Proceedings of the Learning Classifier Systems, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.
Evol. Comput., 2006
From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design
Studies in Fuzziness and Soft Computing 191, Springer, ISBN: 978-3-540-25379-2, 2006
2005
Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems.
IEEE Trans. Evol. Comput., 2005
Genet. Program. Evolvable Mach., 2005
Proceedings of the Learning Classifier Systems, International Workshops, 2005
Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule.
Proceedings of the Learning Classifier Systems, International Workshops, 2005
Proceedings of the Learning Classifier Systems, International Workshops, 2005
Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
2004
Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
PhD thesis, 2004
IEEE Trans. Evol. Comput., 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy.
Evol. Comput., 2003
Proceedings of the International Joint Conference on Neural Networks, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
2002
Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System.
Adapt. Behav., 2002
2001
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001
2000
Proceedings of the Parallel Problem Solving from Nature, 2000
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
1999
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999