Martin V. Butz

According to our database1, Martin V. Butz authored at least 146 papers between 1999 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Learning, planning, and control in a monolithic neural event inference architecture.
Neural Networks, 2019

Incorporating Adaptive RNN-Based Action Inference and Sensory Perception.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Gradient-Based Learning of Compositional Dynamics with Modular RNNs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 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

Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms.
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

Symposium on Event Predictive Cognition.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

REPRISE: A Retrospective and Prospective Inference Scheme.
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
Mario Becomes Cognitive.
topiCS, 2017

Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference.
Cognitive Processing, 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

Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks.
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

Anticipatory Active Inference from Learned Recurrent Neural Forward Models.
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

Reference Systems in Spatial Memory for Vertical Locations.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Computational Model for the Dynamical Learning of Event Taxonomies.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Game-XP: Action Games as Cognitive Science Paradigms.
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
Optimizing recurrent reservoirs with neuro-evolution.
Neurocomputing, 2016

Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture.
Front. Robotics and AI, 2016

Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects.
Cyberpsy., Behavior, and Soc. Networking, 2016

Outline of a sensory-motor perspective on intrinsically moral agents.
Adaptive Behaviour, 2016

Learning where to search using visual attention.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario.
Proceedings of the Cognitive Robot Architectures, 2016

Learning Behavior-Grounded Event Segmentations.
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

Human-object interaction understanding without objects.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Embodied learning of a generative neural model for biological motion perception and inference.
Front. Comput. Neurosci., 2015

Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering.
Front. Comput. Neurosci., 2015

Learning Recurrent Dynamics using Differential Evolution.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

An Automatized Heider-Simmel Story Generation Tool.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

It's all in the eye: multiple orders of motor planning in gaze control.
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.
Evolutionary Computation, 2014

Report on the Thirty-Fifth Annual Cognitive Science Conference.
AI Magazine, 2014

Modeling perspective-taking upon observation of 3D biological motion.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning Spatial Transformations Using Structured Gain-Field Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Modeling Simultanagnosia.
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.
Front. Comput. Neurosci., 2013

Modeling the temporal dynamics of visual working memory.
Cognitive Systems Research, 2013

The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion.
Biological Cybernetics, 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

Search in Real-Time Video Games.
Proceedings of the Artificial and Computational Intelligence in Games, 2013

Modeling Continuous Representations in Visual Working Memory.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Gaze strategies in object identification and manipulation.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Modular, Multimodal Arm Control Models.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
Resource management and scalability of the XCSF learning classifier system.
Theor. Comput. Sci., 2012

Balanced echo state networks.
Neural Networks, 2012

Learning local linear Jacobians for flexible and adaptive robot arm control.
Genetic Programming and Evolvable Machines, 2012

Function approximation with LWPR and XCSF: a comparative study.
Evolutionary Intelligence, 2012

Modeling body state-dependent multisensory integration.
Cognitive Processing, 2012

Incorporating environmental knowledge into Bayesian filtering using attractor functions.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Autonomous failure detection and multimodal sensor fusion in a modular arm model.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Guided evolution in XCSF.
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. Intellig. and AI in Games, 2011

Simultaneously emerging Braitenberg codes and compositionality.
Adaptive Behaviour, 2011

Tracking moving vehicles using an advanced grid-based Bayesian filter approach.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

A modular, redundant, multi-frame of reference representation for kinematic chains.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Extracting adaptation strategies for e-learning programs with XCS.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

XCSF with local deletion: preventing detrimental forgetting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Modularization of xcsf for multiple output dimensions.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Learning classifier systems.
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

The 2009 Simulated Car Racing Championship.
IEEE Trans. Comput. Intellig. and AI in Games, 2010

Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior.
Adaptive Behaviour, 2010

A comparative study: function approximation with LWPR and XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolving robust controller parameters using covariance matrix adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Sequential problems that test generalization in learning classifier systems.
Evolutionary Intelligence, 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

The Scared Robot: Motivations in a Simulated Robot Arm.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Current XCSF Capabilities and Challenges.
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

On the scalability of XCS(F).
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

NEAT in increasingly non-linear control situations.
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

Introduction: Anticipation in Natural and Artificial Cognition.
Proceedings of the Challenge of Anticipation, 2008

The Anticipatory Approach: Definitions and Taxonomies.
Proceedings of the Challenge of Anticipation, 2008

Benefits of Anticipations in Cognitive Agents.
Proceedings of the Challenge of Anticipation, 2008

Anticipatory, Goal-Directed Behavior.
Proceedings of the Challenge of Anticipation, 2008

Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction.
IEEE Trans. Evolutionary Computation, 2008

Sensomotorische Raumrepräsentationen.
Informatik Spektrum, 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

Self-adaptive mutation in XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An analysis of matching in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Context-dependent predictions and cognitive arm control with XCSF.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Anticipatory Learning Classifier Systems and Factored Reinforcement Learning.
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.
Genetic Programming and Evolvable Machines, 2007

Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg.
Cognitive Processing, 2007

Learning Classifier Systems: Looking Back and Glimpsing Ahead.
Proceedings of the Learning Classifier Systems, 2007

Encoding Complete Body Models Enables Task Dependent Optimal Behavior.
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 (HIS 2007), 2007

Empirical analysis of generalization and learning in XCS with gradient descent.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Automated Global Structure Extraction for Effective Local Building Block Processing in XCS.
Evolutionary Computation, 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

Performance of Evolutionary Algorithms on Random Decomposable Problems.
Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA on random decomposable problems.
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. Evolutionary Computation, 2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.
Genetic Programming and Evolvable Machines, 2005

Effect of Pure Error-Based Fitness in XCS.
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

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

Extracted global structure makes local building block processing effective in XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Toward a theory of generalization and learning in XCS.
IEEE Trans. Evolutionary Computation, 2004

Knowledge Extraction and Problem Structure Identification in XCS.
Proceedings of the Parallel Problem Solving from Nature, 2004

Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy.
Proceedings of the Parallel Problem Solving from Nature, 2004

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems.
Proceedings of the Genetic and Evolutionary Computation, 2004

Bounding Learning Time in XCS.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy.
Evolutionary Computation, 2003

Towards Building Block Propagation in XCS: A Negative Result and Its Implications.
Proceedings of the Genetic and Evolutionary Computation, 2003

Tournament Selection: Stable Fitness Pressure in XCS.
Proceedings of the Genetic and Evolutionary Computation, 2003

Bounding the Population Size in XCS to Ensure Reproductive Opportunities.
Proceedings of the Genetic and Evolutionary Computation, 2003

Internal Models and Anticipations in Adaptive Learning Systems.
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

Generalized State Values in an Anticipatory Learning Classifier System.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

2002
Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System.
Adaptive Behaviour, 2002

2001
An Algorithmic Description of ACS2.
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

Biasing Exploration in an Anticipatory Learning Classifier System.
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

2000
Investigating Generalization in the Anticipatory Classifier System.
Proceedings of the Parallel Problem Solving from Nature, 2000

An Algorithmic Description of XCS.
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000

Probability-Enhanced Predictions in the Anticipatory Classifier System.
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
Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems.
Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999


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