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ORCIDMartin V. Butz
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- affiliation: Eberhard Karls University of Tübingen, Wilhelm Schickard Institute for Computer Science
- affiliation: University of Würzburg, Department of Cognitive Psychology
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2020 – today
- 2020
[c109]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. ICANN (1) 2020: 143-154- [c108]Dania Humaidan
, Sebastian Otte, Martin V. Butz:
Fostering Event Compression Using Gated Surprise. ICANN (1) 2020: 155-167 - [c107]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) 2020: 566-577 - [c106]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. ICANN (2) 2020: 659-669 - [i9]Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. CoRR abs/2004.07754 (2020) - [i8]Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression using Gated Surprise. CoRR abs/2005.05704 (2020) - [i7]Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte:
Learning Precise Spike Timings with Eligibility Traces. CoRR abs/2006.09988 (2020) - [i6]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR abs/2009.09187 (2020) - [i5]Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR abs/2009.09823 (2020) - [i4]Sebastian Otte, Matthias Karlbauer, Martin V. Butz:
Active Tuning. CoRR abs/2010.03958 (2020)
2010 – 2019
- 2019
- [j36]Martin V. Butz, David Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, planning, and control in a monolithic neural event inference architecture. Neural Networks 117: 135-144 (2019) - [c105]Johannes Lohmann, Martin V. Butz:
Unflinching Predictions: Anticipatory Crossmodal Interactions are Unaffected by the Current Hand Posture. CogSci 2019: 692-698 - [c104]Gregory Scontras, Asya Achimova, Christian Stegemann, Martin V. Butz:
On the purpose of ambiguous utterances. CogSci 2019: 3352 - [c103]Sebastian Otte, Patricia Rubisch, Martin V. Butz:
Gradient-Based Learning of Compositional Dynamics with Modular RNNs. ICANN (1) 2019: 484-496 - [c102]Sebastian Otte, Jakob Stoll, Martin V. Butz:
Incorporating Adaptive RNN-Based Action Inference and Sensory Perception. ICANN (4) 2019: 543-555 - [c101]Martin V. Butz, Tobias Menge, Dania Humaidan, Sebastian Otte:
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE. ICANN (1) 2019: 639-653 - [c100]Katerina Tsarava, Luzia Leifheit, Manuel Ninaus, Marcos Román-González, Martin V. Butz, Jessika Golle, Ulrich Trautwein, Korbinian Moeller:
Cognitive Correlates of Computational Thinking: Evaluation of a Blended Unplugged/Plugged-In Course. WiPSCE 2019: 24:1-24:9 - [i3]Christian Gumbsch, Martin V. Butz, Georg Martius:
Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. CoRR abs/1902.09948 (2019) - [i2]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR abs/1912.11141 (2019) - 2018
- [c99]Jacques Kaiser, Svenja Melbaum, Juan Camilo Vasquez Tieck, Arne Rönnau, Martin V. Butz, Rüdiger Dillmann:
Learning to Reproduce Visually Similar Movements by Minimizing Event-Based Prediction Error. BioRob 2018: 260-267 - [c98]Martin V. Butz, David Bilkey, Alistair Knott, Sebastian Otte:
REPRISE: A Retrospective and Prospective Inference Scheme. CogSci 2018 - [c97]Martin V. Butz, Alistair Knott:
Symposium on Event Predictive Cognition. CogSci 2018 - [c96]Johannes Lohmann, Anna Belardinelli, Martin V. Butz:
Are you Sure How to Move? Expected Uncertainty Modulates Anticipatory Crossmodal Interactions. CogSci 2018 - [c95]Sebastian Otte, Lea Hofmaier, Martin V. Butz:
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms. ICANN (3) 2018: 748-758 - [c94]Peter Gerjets, Martin Lachmair, Martin V. Butz, Johannes Lohmann:
Knowledge Spaces in VR: Intuitive Interfacing with a Multiperspective Hypermedia Environment. VR 2018: 555-556 - [i1]Martin V. Butz, David Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte:
Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture. CoRR abs/1809.07412 (2018) - 2017
- [j35]Johannes Lohmann, Martin V. Butz:
Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference. Cogn. Process. 18(3): 211-228 (2017) - [j34]Fabian Schrodt, Jan Kneissler, Stephan Ehrenfeld, Martin V. Butz:
Mario Becomes Cognitive. Top. Cogn. Sci. 9(2): 343-373 (2017) - [c93]Anna Belardinelli, Johannes Lohmann, Martin V. Butz:
Projecting space into the future: peripersonal space remaps in anticipation of an object manipulation. CogSci 2017 - [c92]Wayne D. Gray, Ray S. Perez, Martin V. Butz, Stuart Reeves, Matthew Sangster, Tom Stafford, Fernand Gobet:
Game-XP: Action Games as Cognitive Science Paradigms. CogSci 2017 - [c91]Christian Gumbsch, Sebastian Otte, Martin V. Butz:
A Computational Model for the Dynamical Learning of Event Taxonomies. CogSci 2017 - [c90]Thomas Hinterecker, Caroline Leroy, Maximilian E. Kirschhock, Mintao Zhao, Martin V. Butz, Heinrich H. Bülthoff, Tobias Meilinger:
Reference Systems in Spatial Memory for Vertical Locations. CogSci 2017 - [c89]Johannes Lohmann, Jakob Gütschow, Martin V. Butz:
Grasping Multisensory Integration: Proprioceptive Capture after Virtual Object Interactions. CogSci 2017 - [c88]Sebastian Otte, Theresa Schmitt, Martin V. Butz:
Anticipatory Active Inference from Learned Recurrent Neural Forward Models. CogSci 2017 - [c87]Fabian Schrodt, Martin V. Butz:
Learning Temporal Generative Neural Codes for Biological Motion Perception and Inference. CogSci 2017 - [c86]Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz:
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. ICANN (1) 2017: 227-235 - [c85]Sebastian Otte, Adrian Zwiener, Martin V. Butz:
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. ICANN (1) 2017: 262-270 - 2016
- [j33]Christian Balkenius, Lola Cañamero, Philip Pärnamets, Birger Johansson, Martin V. Butz, Andreas Olsson:
Outline of a sensory-motor perspective on intrinsically moral agents. Adapt. Behav. 24(5): 306-319 (2016) - [j32]Philipp A. Schroeder, Johannes Lohmann, Martin V. Butz, Christian Plewnia:
Behavioral Bias for Food Reflected in Hand Movements: A Preliminary Study with Healthy Subjects. Cyberpsychology Behav. Soc. Netw. 19(2): 120-126 (2016) - [j31]Fabian Schrodt, Martin V. Butz:
Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture. Frontiers Robotics AI 3: 5 (2016) - [j30]Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell:
Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing 192: 128-138 (2016) - [c84]Anna Belardinelli, Johannes Lohmann, Martin V. Butz:
Human-object interaction understanding without objects. CogSci 2016 - [c83]Martin V. Butz, Mihael Simonic, Marcel Binz, Jonas Einig, Stephan Ehrenfeld, Fabian Schrodt:
Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents. CogSci 2016 - [c82]Christian Gumbsch, Jan Kneissler, Martin V. Butz:
Learning Behavior-Grounded Event Segmentations. CogSci 2016 - [c81]Fabian Schrodt, Yves Röhm, Martin V. Butz:
An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario. EUCognition 2016: 10-15 - [c80]Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg:
Learning where to search using visual attention. IROS 2016: 5238-5245 - 2015
- [j29]Jan Kneissler, Jan Drugowitsch, Karl J. Friston, Martin V. Butz:
Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering. Frontiers Comput. Neurosci. 9: 47 (2015) - [j28]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Embodied learning of a generative neural model for biological motion perception and inference. Frontiers Comput. Neurosci. 9: 79 (2015) - [c79]Anna Belardinelli, Martin V. Butz:
It's all in the eye: multiple orders of motor planning in gaze control. CogSci 2015 - [c78]Martin V. Butz, Robert Geirhos, Jan Kneissler:
An Automatized Heider-Simmel Story Generation Tool. CogSci 2015 - [c77]Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell:
Learning Recurrent Dynamics using Differential Evolution. ESANN 2015 - [p10]Martin V. Butz:
Learning Classifier Systems. Handbook of Computational Intelligence 2015: 961-981 - 2014
- [j27]Anna Belardinelli, Martin V. Butz:
Report on the Thirty-Fifth Annual Cognitive Science Conference. AI Mag. 35(2): 79-80 (2014) - [j26]Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz:
Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance. Evol. Comput. 22(1): 139-158 (2014) - [c76]Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz:
Modeling Simultanagnosia. CogSci 2014 - [c75]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. CogSci 2014 - [c74]Jan Kneissler, Martin V. Butz:
Learning Spatial Transformations Using Structured Gain-Field Networks. ICANN 2014: 683-690 - [c73]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling perspective-taking upon observation of 3D biological motion. ICDL-EPIROB 2014: 305-310 - 2013
- [j25]Stephan Ehrenfeld, Martin V. Butz:
The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion. Biol. Cybern. 107(1): 61-82 (2013) - [j24]Johannes Lohmann, Oliver Herbort, Martin V. Butz:
Modeling the temporal dynamics of visual working memory. Cogn. Syst. Res. 24: 80-86 (2013) - [j23]Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz:
Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference. Frontiers Comput. Neurosci. 7: 148 (2013) - [c72]Anna Belardinelli, Martin V. Butz:
Gaze strategies in object identification and manipulation. CogSci 2013 - [c71]Johannes Lohmann, Martin V. Butz:
Modeling Continuous Representations in Visual Working Memory. CogSci 2013 - [c70]Andreas Alin, Jannik Fritsch, Martin V. Butz:
Improved tracking and behavior anticipation by combining street map information with Bayesian-filtering. ITSC 2013: 2235-2242 - [c69]Martin V. Butz, Armin Gufler, Konstantin Schmid, Fabian Schrodt:
Fully Self-Supervised Learning of an Arm Model. LWA 2013: 173-179 - [p9]Stephan Ehrenfeld, Oliver Herbort, Martin V. Butz:
Modular, Multimodal Arm Control Models. Computational and Robotic Models of the Hierarchical Organization of Behavior 2013: 129-154 - [p8]Peter I. Cowling, Michael Buro, Michal Bída, Adi Botea, Bruno Bouzy, Martin V. Butz, Philip Hingston, Hector Muñoz-Avila, Dana S. Nau, Moshe Sipper:
Search in Real-Time Video Games. Artificial and Computational Intelligence in Games 2013: 1-19 - 2012
- [j22]Martin V. Butz, Anna Belardinelli, Stephan Ehrenfeld:
Modeling body state-dependent multisensory integration. Cogn. Process. 13(Supplement-1): 113-116 (2012) - [j21]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz:
Function approximation with LWPR and XCSF: a comparative study. Evol. Intell. 5(2): 103-116 (2012) - [j20]Martin V. Butz, Olivier Sigaud:
XCSF with local deletion: preventing detrimental forgetting. Evol. Intell. 5(2): 117-127 (2012) - [j19]Patrick O. Stalph, Martin V. Butz:
Learning local linear Jacobians for flexible and adaptive robot arm control. Genet. Program. Evolvable Mach. 13(2): 137-157 (2012) - [j18]Danil Koryakin, Johannes Lohmann, Martin V. Butz:
Balanced echo state networks. Neural Networks 36: 35-45 (2012) - [j17]Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz:
Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. 425: 126-141 (2012) - [c68]Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz:
Filtering sensory information with XCSF: improving learning robustness and control performance. GECCO 2012: 871-878 - [c67]Patrick O. Stalph, Martin V. Butz:
Guided evolution in XCSF. GECCO 2012: 911-918 - [c66]Danil Koryakin, Martin V. Butz:
Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. ICANN (1) 2012: 499-506 - [c65]Stephan Ehrenfeld, Martin V. Butz:
Autonomous failure detection and multimodal sensor fusion in a modular arm model. IROS 2012: 2186-2191 - [c64]Andreas Alin, Martin V. Butz, Jannik Fritsch:
Incorporating environmental knowledge into Bayesian filtering using attractor functions. Intelligent Vehicles Symposium 2012: 476-481 - 2011
- [j16]Yuuya Sugita, Jun Tani, Martin V. Butz:
Simultaneously emerging Braitenberg codes and compositionality. Adapt. Behav. 19(5): 295-316 (2011) - [j15]Martin V. Butz, M. J. Linhardt, Thies D. Lönneker:
Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands. IEEE Trans. Comput. Intell. AI Games 3(1): 31-42 (2011) - [c63]Martin V. Butz, Olivier Sigaud:
XCSF with local deletion: preventing detrimental forgetting. GECCO (Companion) 2011: 383-390 - [c62]Anke Endler, Martin V. Butz, Günter Daniel Rey:
Extracting adaptation strategies for e-learning programs with XCS. GECCO (Companion) 2011: 743-746 - [c61]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2011: 941-962 - [c60]Martin V. Butz, Patrick O. Stalph:
Modularization of xcsf for multiple output dimensions. GECCO 2011: 1243-1250 - [c59]Stephan Ehrenfeld, Martin V. Butz:
A modular, redundant, multi-frame of reference representation for kinematic chains. ICRA 2011: 141-147 - [c58]Andreas Alin, Martin V. Butz, Jannik Fritsch:
Tracking moving vehicles using an advanced grid-based Bayesian filter approach. Intelligent Vehicles Symposium 2011: 466-472 - 2010
- [j14]Martin V. Butz, Elshad Shirinov, Kevin L. Reif:
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior. Adapt. Behav. 18(3-4): 315-337 (2010) - [j13]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:
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010) - [c57]Gerulf K. M. Pedersen, Martin V. Butz:
Evolving robust controller parameters using covariance matrix adaptation. GECCO 2010: 1251-1258 - [c56]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz:
A comparative study: function approximation with LWPR and XCSF. GECCO (Companion) 2010: 1863-1870 - [c55]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2010: 2331-2352 - [p7]Oliver Herbort, Martin V. Butz, Gerulf K. M. Pedersen:
The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics. From Motor Learning to Interaction Learning in Robots 2010: 85-106 - [e6]Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz:
Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6471, Springer 2010, ISBN 978-3-642-17507-7 [contents]
2000 – 2009
- 2009
- [j12]Martin V. Butz, Pier Luca Lanzi:
Sequential problems that test generalization in learning classifier systems. Evol. Intell. 2(3): 141-147 (2009) - [c54]Martin V. Butz, Thies D. Lönneker:
Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. CIG 2009: 317-324 - [c53]Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild:
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858 - [c52]Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph:
Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. GECCO 2009: 1171-1178 - [c51]Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà:
On the scalability of XCS(F). GECCO 2009: 1315-1322 - [c50]Matthias J. Linhardt, Martin V. Butz:
NEAT in increasingly non-linear control situations. GECCO (Companion) 2009: 2091-2096 - [c49]Elshad Shirinov, Martin V. Butz:
Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system. ALIFE 2009: 69-76 - [c48]Patrick O. Stalph, Martin V. Butz:
How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF. IWLCS 2009: 47-56 - [c47]Patrick O. Stalph, Martin V. Butz:
Current XCSF Capabilities and Challenges. IWLCS 2009: 57-69 - [c46]Patrick O. Stalph, Martin V. Butz, Gerulf K. M. Pedersen:
Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. KI 2009: 193-200 - [c45]Martin V. Butz, Gerulf K. M. Pedersen:
The Scared Robot: Motivations in a Simulated Robot Arm. KI 2009: 460-467 - [e5]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre:
Anticipatory Behavior in Adaptive Learning Systems, From Psychological Theories to Artificial Cognitive Systems [4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008]. Lecture Notes in Computer Science 5499, Springer 2009, ISBN 978-3-642-02564-8 [contents] - 2008
- [j11]Martin V. Butz:
Sensomotorische Raumrepräsentationen. Inform. Spektrum 31(3): 237-240 (2008) - [j10]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. 12(3): 355-376 (2008) - [c44]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre:
From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. ABiALS 2008: 1-9 - [c43]Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer:
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. ABiALS 2008: 321-333 - [c42]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356 - [c41]Martin V. Butz, Oliver Herbort:
Context-dependent predictions and cognitive arm control with XCSF. GECCO 2008: 1357-1364 - [c40]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372 - [c39]Patrick O. Stalph, Martin V. Butz:
Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. GECCO (Companion) 2008: 2023-2030 - [c38]Martin V. Butz:
Learning classifier systems. GECCO (Companion) 2008: 2367-2388 - [c37]Franziska Klügl, Reinhard Hatko, Martin V. Butz:
Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. MATES 2008: 111-122 - [p6]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone:
Introduction: Anticipation in Natural and Artificial Cognition. The Challenge of Anticipation 2008: 3-22 - [p5]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi:
The Anticipatory Approach: Definitions and Taxonomies. The Challenge of Anticipation 2008: 23-43 - [p4]Martin V. Butz, Giovanni Pezzulo:
Benefits of Anticipations in Cognitive Agents. The Challenge of Anticipation 2008: 45-62 - [p3]Martin V. Butz, Oliver Herbort, Giovanni Pezzulo:
Anticipatory, Goal-Directed Behavior. The Challenge of Anticipation 2008: 85-113 - [p2]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, Emilian Lalev, Emiliano Lorini, Carlos Martinho, Maria Miceli, Dimitri Ognibene, Ana Paiva, Georgi Petkov, Michele Piunti, Vin Thorsteinsdottir:
Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. The Challenge of Anticipation 2008: 237-254 - [e4]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama:
Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, ISBN 978-3-540-88137-7 [contents] - [e3]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone:
The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. Lecture Notes in Computer Science 5225, Springer 2008, ISBN 978-3-540-87701-1 [contents] - 2007
- [j9]Joachim Hoffmann, Michael Berner, Martin V. Butz, Oliver Herbort, Andrea Kiesel, Wilfried Kunde, Alexandra Lenhard:
Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg. Cogn. Process. 8(2): 133-142 (2007) - [j8]