Martin V. Butz

Genet. Program. Evolvable Mach., 2022

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking.

[BibT_eX]

[DOI]

CoRR, 2022

A cognitive definition of computational thinking in primary education.

[BibT_eX]

[DOI]

Katerina Tsarava

Korbinian Moeller

Marcos Román-González

Comput. Educ., 2022

Composing Partial Differential Equations with Physics-Aware Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Binding Dancers Into Attractors.

[BibT_eX]

[DOI]

Franziska Kaltenberger

Proceedings of the IEEE International Conference on Development and Learning, 2022

Developing hierarchical anticipations via neural network-based event segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Development and Learning, 2022

Infering Boundary Conditions in Finite Volume Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Event-Predictive Cognition: A Root for Conceptual Human Thought.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2021

Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives.

[BibT_eX]

[DOI]

Georg Martius

IEEE Trans. Cogn. Dev. Syst., 2021

Towards Strong AI.

[BibT_eX]

[DOI]

Künstliche Intell., 2021

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport.

[BibT_eX]

[DOI]

CoRR, 2021

Emergent Goal-Anticipatory Gaze in Infants via Event-Predictive Learning and Inference.

[BibT_eX]

[DOI]

Cogn. Sci., 2021

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains.

[BibT_eX]

[DOI]

Christian Stegemann-Philipps

Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learn It First: Grounding Language in Compositional Event-Predictive Encodings.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Development and Learning, 2021

Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Development and Learning, 2021

Dynamic Action Inference with Recurrent Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Binding and Perspective Taking as Inference in a Generative Neural Network Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Latent State Inference in a Spatiotemporal Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.

[BibT_eX]

[DOI]

Sarah Fabi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Modeling the Anticipatory Remapping of Spatial Body Representations: A Free Energy Approach.

[BibT_eX]

[DOI]

Patrick Weigert

Christian Stegemann-Philipps

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Speakers Use More Informative Referring Expressions to Describe Surprising Events.

[BibT_eX]

[DOI]

Susanne Winkler

Asya Achimova

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Can Action Bias the Perception of Ambiguous Auditory Stimuli?

[BibT_eX]

[DOI]

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Latent Event-Predictive Encodings through Counterfactual Regularization.

[BibT_eX]

[DOI]

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

I see where this is going: Modeling the development of infants' goal-predictive gaze.

[BibT_eX]

[DOI]

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Hierarchical principles of embodied reinforcement learning: A review.

[BibT_eX]

[DOI]

CoRR, 2020

Active Tuning.

[BibT_eX]

[DOI]

Matthias Karlbauer

CoRR, 2020

Hidden Latent State Inference in a Spatio-Temporal Generative Model.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Precise Spike Timings with Eligibility Traces.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Inferring, Predicting, and Denoising Causal Wave Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Fostering Event Compression Using Gated Surprise.

[BibT_eX]

[DOI]

Dania Humaidan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Investigating Efficient Learning and Compositionality in Generative LSTM Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Sequence Classification using Ensembles of Recurrent Generative Expert Modules.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Hands in Thought and Motion.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Bayesian inference in dialogue.

[BibT_eX]

[DOI]

Asya Achimova

Ella I. Eisemann

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

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

[BibT_eX]

[DOI]

Neural Networks, 2019

Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course.

[BibT_eX]

[DOI]

Katerina Tsarava

Luzia Leifheit

Manuel Ninaus

Marcos Román-González

Proceedings of the 14th Workshop in Primary and Secondary Computing Education, 2019

Incorporating Adaptive RNN-Based Action Inference and Sensory Perception.

[BibT_eX]

[DOI]

Jakob Stoll

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.

[BibT_eX]

[DOI]

Patricia Rubisch

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

On the purpose of ambiguous utterances.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

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

[BibT_eX]

[DOI]

Lea Hofmaier

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Symposium on Event Predictive Cognition.

[BibT_eX]

[DOI]

Juan Camilo Vasquez Tieck

Alistair Knott

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

REPRISE: A Retrospective and Prospective Inference Scheme.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error.

[BibT_eX]

[DOI]

Jacques Kaiser

Svenja Melbaum

Arne Roennau

Rüdiger Dillmann

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017

Mario Becomes Cognitive.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2017

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

[BibT_eX]

[DOI]

Cogn. Process., 2017

Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models.

[BibT_eX]

[DOI]

Adrian Zwiener

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference.

[BibT_eX]

[DOI]

Fabian Schrodt

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Anticipatory Active Inference from Learned Recurrent Neural Forward Models.

[BibT_eX]

[DOI]

Theresa Schmitt

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions.

[BibT_eX]

[DOI]

Jakob Gütschow

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Reference Systems in Spatial Memory for Vertical Locations.

[BibT_eX]

[DOI]

Thomas Hinterecker

Caroline Leroy

Maximilian E. Kirschhock

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Computational Model for the Dynamical Learning of Event Taxonomies.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Game-XP: Action Games as Cognitive Science Paradigms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Optimizing recurrent reservoirs with neuro-evolution.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture.

[BibT_eX]

[DOI]

Fabian Schrodt

Frontiers Robotics AI, 2016

Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects.

[BibT_eX]

[DOI]

Cyberpsychology Behav. Soc. Netw., 2016

Outline of a sensory-motor perspective on intrinsically moral agents.

[BibT_eX]

[DOI]

Adapt. Behav., 2016

Learning where to search using visual attention.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario.

[BibT_eX]

[DOI]

Fabian Schrodt

Yves Röhm

Proceedings of the Cognitive Robot Architectures, 2016

Learning Behavior-Grounded Event Segmentations.

[BibT_eX]

[DOI]

Jan Kneissler

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.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Human-object interaction understanding without objects.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Learning Classifier Systems.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Embodied learning of a generative neural model for biological motion perception and inference.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2015

Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2015

Learning Recurrent Dynamics using Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

An Automatized Heider-Simmel Story Generation Tool.

[BibT_eX]

[DOI]

Robert Geirhos

Jan Kneissler

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Evol. Comput., 2014

Report on the Thirty-Fifth Annual Cognitive Science Conference.

[BibT_eX]

[DOI]

AI Mag., 2014

Modeling perspective-taking upon observation of 3D biological motion.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning Spatial Transformations Using Structured Gain-Field Networks.

[BibT_eX]

[DOI]

Jan Kneissler

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Modeling Simultanagnosia.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2013

Modeling the temporal dynamics of visual working memory.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2013

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

[BibT_eX]

[DOI]

Biol. Cybern., 2013

Fully Self-Supervised Learning of an Arm Model.

[BibT_eX]

Proceedings of the LWA 2013. Lernen, 2013

Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering.

[BibT_eX]

[DOI]

Andreas Alin

Jannik Fritsch

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Search in Real-Time Video Games.

[BibT_eX]

[DOI]

Proceedings of the Artificial and Computational Intelligence in Games, 2013

Modeling Continuous Representations in Visual Working Memory.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Gaze strategies in object identification and manipulation.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Modular, Multimodal Arm Control Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2012

Balanced echo state networks.

[BibT_eX]

[DOI]

Danil Koryakin

Neural Networks, 2012

Learning local linear Jacobians for flexible and adaptive robot arm control.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2012

Function approximation with LWPR and XCSF: a comparative study.

[BibT_eX]

[DOI]

Evol. Intell., 2012

XCSF with local deletion: preventing detrimental forgetting.

[BibT_eX]

[DOI]

Olivier Sigaud

Evol. Intell., 2012

Modeling body state-dependent multisensory integration.

[BibT_eX]

[DOI]

Cogn. Process., 2012

Incorporating environmental knowledge into Bayesian filtering using attractor functions.

[BibT_eX]

[DOI]

Andreas Alin

Jannik Fritsch

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Autonomous failure detection and multimodal sensor fusion in a modular arm model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Danil Koryakin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Guided evolution in XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Filtering sensory information with XCSF: improving learning robustness and control performance.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands.

[BibT_eX]

[DOI]

Matthias J. Linhardt

Thies D. Lönneker

IEEE Trans. Comput. Intell. AI Games, 2011

Simultaneously emerging Braitenberg codes and compositionality.

[BibT_eX]

[DOI]

Yuuya Sugita

Jun Tani

Adapt. Behav., 2011

Tracking moving vehicles using an advanced grid-based Bayesian filter approach.

[BibT_eX]

[DOI]

Andreas Alin

Jannik Fritsch

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

A modular, redundant, multi-frame of reference representation for kinematic chains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Extracting adaptation strategies for e-learning programs with XCS.

[BibT_eX]

[DOI]

Anke Endler

Günter Daniel Rey

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Modularization of xcsf for multiple output dimensions.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Learning classifier systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

The 2009 Simulated Car Racing Championship.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Intell. AI Games, 2010

Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior.

[BibT_eX]

[DOI]

Elshad Shirinov

Kevin L. Reif

Adapt. Behav., 2010

A comparative study: function approximation with LWPR and XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolving robust controller parameters using covariance matrix adaptation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Sequential problems that test generalization in learning classifier systems.

[BibT_eX]

[DOI]

Evol. Intell., 2009

Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System.

[BibT_eX]

[DOI]

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

The Scared Robot: Motivations in a Simulated Robot Arm.

[BibT_eX]

[DOI]

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Current XCSF Capabilities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2009

How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, 2009

Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system.

[BibT_eX]

[DOI]

Elshad Shirinov

Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

On the scalability of XCS(F).

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

NEAT in increasingly non-linear control situations.

[BibT_eX]

[DOI]

Matthias J. Linhardt

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge.

[BibT_eX]

[DOI]

Thies D. Lönneker

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

2008

Endowing Artificial Systems with Anticipatory Capabilities: Success Cases.

[BibT_eX]

[DOI]

Proceedings of the Challenge of Anticipation, 2008

Introduction: Anticipation in Natural and Artificial Cognition.

[BibT_eX]

[DOI]

Cristiano Castelfranchi

Rino Falcone

Proceedings of the Challenge of Anticipation, 2008

The Anticipatory Approach: Definitions and Taxonomies.

[BibT_eX]

[DOI]

Cristiano Castelfranchi

Proceedings of the Challenge of Anticipation, 2008

Benefits of Anticipations in Cognitive Agents.

[BibT_eX]

[DOI]

Proceedings of the Challenge of Anticipation, 2008

Anticipatory, Goal-Directed Behavior.

[BibT_eX]

[DOI]

Proceedings of the Challenge of Anticipation, 2008

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

[BibT_eX]

[DOI]

Stewart W. Wilson

IEEE Trans. Evol. Comput., 2008

Sensomotorische Raumrepräsentationen.

[BibT_eX]

[DOI]

Inform. Spektrum, 2008

Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems.

[BibT_eX]

[DOI]

Franziska Klügl

Reinhard Hatko

Proceedings of the Multiagent System Technologies, 6th German Conference, 2008

Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Self-adaptive mutation in XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

An analysis of matching in learning classifier systems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Context-dependent predictions and cognitive arm control with XCSF.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Anticipatory Learning Classifier Systems and Factored Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2007

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

[BibT_eX]

[DOI]

Cogn. Process., 2007

Learning Classifier Systems: Looking Back and Glimpsing Ahead.

[BibT_eX]

[DOI]

Jaume Bacardit

Ester Bernadó-Mansilla

Proceedings of the Learning Classifier Systems, 2007

Encoding Complete Body Models Enables Task Dependent Optimal Behavior.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alexandra Lenhard

Proceedings of the International Joint Conference on Neural Networks, 2007

Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Empirical analysis of generalization and learning in XCS with gradient descent.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

Effective and Reliable Online Classification Combining XCS with EDA Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

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

[BibT_eX]

[DOI]

Evol. Comput., 2006

From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE.

[BibT_eX]

[DOI]

Gianluca Baldassarre

Cristiano Castelfranchi

Joachim Hoffmann

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems.

[BibT_eX]

[DOI]

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA on random decomposable problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions.

[BibT_eX]

[DOI]

Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.

[BibT_eX]

[DOI]

Stewart W. Wilson

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.

[BibT_eX]

[DOI]

Kumara Sastry

Genet. Program. Evolvable Mach., 2005

Effect of Pure Error-Based Fitness in XCS.

[BibT_eX]

[DOI]

Proceedings of the Learning Classifier Systems, International Workshops, 2005

Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule.

[BibT_eX]

[DOI]

Jaume Bacardit

Proceedings of the Learning Classifier Systems, International Workshops, 2005

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

[BibT_eX]

[DOI]

Jaume Bacardit

Proceedings of the Learning Classifier Systems, International Workshops, 2005

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

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

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Rule-Based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction

[BibT_eX]

[DOI]

Josep Maria Garrell i Guiu

PhD thesis, 2004

Toward a theory of generalization and learning in XCS.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2004

Knowledge Extraction and Problem Structure Identification in XCS.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2004

Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2004

Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2004

Bounding Learning Time in XCS.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2004

2003

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

[BibT_eX]

[DOI]

Kurian K. Tharakunnel

Evol. Comput., 2003

Towards Building Block Propagation in XCS: A Negative Result and Its Implications.

[BibT_eX]

[DOI]

Kurian K. Tharakunnel

Proceedings of the Genetic and Evolutionary Computation, 2003

Tournament Selection: Stable Fitness Pressure in XCS.

[BibT_eX]

[DOI]

Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation, 2003

Bounding the Population Size in XCS to Ensure Reproductive Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2003

Internal Models and Anticipations in Adaptive Learning Systems.

[BibT_eX]

[DOI]

Olivier Sigaud

Pierre Gérard

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

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

[BibT_eX]

[DOI]

Olivier Sigaud

Pierre Gérard

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

Generalized State Values in an Anticipatory Learning Classifier System.

[BibT_eX]

[DOI]

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003

2002

An algorithmic description of XCS.

[BibT_eX]

[DOI]

Stewart W. Wilson

Soft Comput., 2002

Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System.

[BibT_eX]

[DOI]

Joachim Hoffmann

Adapt. Behav., 2002

2001

An Algorithmic Description of ACS2.

[BibT_eX]

[DOI]

Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

Biasing Exploration in an Anticipatory Learning Classifier System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

2000

Investigating Generalization in the Anticipatory Classifier System.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2000

Probability-Enhanced Predictions in the Anticipatory Classifier System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999

Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems.

[BibT_eX]

[DOI]