Chair Publications

(publications are in type, year, author order)

Books

Bacardit, J., Browne, W., Drugowitsch, J., Bernadó-Mansilla, E., & Butz, M. V. (Eds.) (2010). 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, LNCS 6471. Berlin Heidelberg: Springer.

Pezzulo, G., Butz, M.V., Sigaud, O., & Baldassarre G. (Eds.) (2009). Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems, LNAI 5499 (State-of-the-Art Survey). Springer-Verlag, Berlin Heidelberg.

Bacardit, J., Bernadó-Mansilla, E., Butz, M.V., Kovacs, T., Llorà, X., & Takadama, K. (Eds.) (2008). Learning Classifier Systems:10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 2007 Revised Selected Papers, LNAI 4998. Springer-Verlag, Berlin Heidelberg.

Pezzulo, G., Butz, M. V., Castelfranchi, C. & Falcone, R. (Eds.) (2008). The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225 (State-of-the-Art Survey). Springer-Verlag, Berlin Heidelberg.

Butz, M. V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (Eds.) (2007). Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, LNAI 4520 (State-of-the-Art Survey). Springer Verlag, Berlin-Heidelberg.

Butz, M.V. (2006). Rule-based evolutionary online learning systems: A principled approach to LCS analysis and design. Studies in Fuzziness and Soft Computing Series, Springer Verlag, Berlin Heidelberg.

Keijzer, M., Cattolico, M., Arnold, D., Babovic, V., Blum, C., Bosman, P., Butz, M.V., Coello Coello, C., Dasgupta, D., Ficici, S.G., Foster, J., Hernandez-Aguirre, A., Hornby, G., Lipson, H., McMinn, P., Moore, J., Raidl, G., Rothlauf, F., Ryan, C., & Thierens, D. (Eds.). (2006). GECCO 2006: Proceedings of the 8th annual conference on genetic and evolutionary computation. ACM Press, Seattle, WA, USA.

Butz, M. V., Sigaud, O., & Gerard, P. (Eds.). (2003). Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems, LNAI 2684 (State-of-the-Art Survey). Springer Verlag, Berlin Heidelberg, Germany.

Butz, M. V. (2002). Anticipatory learning classifier systems. Kluwer Academic Publishers, Boston, MA.

Journals

(please send a short request for papers that are not linked)

Koryakin, D., Lohmann, J., & Butz, M.V. (submitted). Balanced echo state networks. Neural Networks.

Lohmann, J., Kiesel, A., Herbort, O., Butz, M.V., & Sebald, A. (under revision). Modeling change detection. Psychological Review.

Butz, M. V. (in press). Separating goals from behavioral control: Implications from learning predictive modularizations. New Ideas in Psychology.

Herbort, O., Koning, A., van Uem, J., & Meulenbroek, R. (in press). The End-State Comfort Effect Facilitates Joint Action. Acta Psychologica.

2012

Herbort, O. (2012). Where to grasp a tool? Task-dependent adjustments of tool transformations by tool users. Journal of Psychology, 220(1):37-43.

2011

Butz, M.V., Linhardt, M.J., & Lönneker, T.D. (2011). Effective racing on partially observable tracks: Indirectly coupling anticipatory egocentric sensors with motor commands. IEEE Transactions on Computational Intelligence and AI in Games, 3, 31-42.

Herbort, O., & Butz, M. V. (2011). Habitual and goal-directed factors in (everyday) object handling. Experimental Brain Research, 213, 371-382.

Herbort, O., & Butz, M.V. (2011). The continuous end-state comfort effect: Weighted integration of multiple biases. Psychological Research. DOI: 10.1007/s00426-011-0334-7.

Stalph, P., & Butz, M. V. (2011). Learning local linear Jacobians for flexible and adaptive robot arm control. Genetic Programming and Evolvable Machines, 1-21. 10.1007/s10710-011-9147-0.

Sugita, Y., Tani, J., & Butz, M.V. (2011). Simultaneously emerging Braitenberg codes and semantic compositionality. Adaptive Behavior. 10.1177/1059712311416871.

2010

Butz, M.V., Shirinov, E., & Reif, K. (2010). Self-organizing sensorimotor maps plus internal motivations yield animal-like behavior. Adaptive Behavior, 18, 315-337.

Butz, M.V., Thomaschke, R., Linhardt, M.J., & Herbort, O. (2010). Remapping motion across modalities: Tactile rotations influence visual motion judgments. Experimental Brain Research, 207, 1-11.

Herbort O., & Butz , M. V. (2010). Planning and control of hand orientation in grasping movements. Experimental Brain Research, 202, 867-878.

Loiacono, D., Lanzi, P.L., Togelius, J., Onieva, E., Pelta, D.A., Butz, M.V., Lönneker, T.D., Cardamone, L., Perez, D., Sáez, Y., Preuss, M., & Quadflieg, J. (2010). The 2009 simulated car racing championship. IEEE Transactions on Computational Intelligence and AI in Games, 2, 131-147.

Stalph, P. O., Llorà, X., Goldberg, D. E., & Butz, M. V. (2010). Resource management and scalability of the XCSF learning classifier system. Theoretical Computer Science. DOI: 10.1016/j.tcs.2010.07.007.

2009

Butz, M.V., & Lanzi, P.L. (2009). Sequential problems that test generalization in learning classifier systems. Evolutionary Intelligence, 2, 141-147.

Herbort, O. & Butz, M. V. (2009). Anticipatory planning of sequential hand and finger movements. Journal of Motor Behavior, 41, 561-569.

2008

Butz, M.V. (2008). How and why the brain lays the foundations for a conscious self. Constructivist Foundations, 4, 1-42.

Butz, M.V. (2008). Intentions and mirror neurons: From the individual to overall social reality. Commentary. Constructivist Foundations, 3, 87-89.

Butz, M.V. (2008). Sensomotorische Raumrepräsentationen. Informatik-Spektrum, 31, 237-240.

Butz, M.V., Lanzi, P.L., & Wilson, S.W. (2008). Function approximation with XCS: Hyperellipsoidal conditions, recursive least squares, and compaction. IEEE Transactions on Evolutionary Computation, 12, 355-376.

2007

Butz, M.V., Herbort, O., & Hoffmann, J. (2007). Exploiting Redundancy for Flexible Behavior: Unsupervised Learning in a Modular Sensorimotor Control Architecture. Psychological Review, 114, 1015-1046.

Butz, M.V., Goldberg, D.E., Lanzi, P.L., & Sastry, K. (2007). Problem Solution Sustenance in XCS: Markov Chain Analysis of Niche Support Distributions and Consequent Computational Complexity. Genetic Programming and Evolvable Machines, 8, 5-37.

Hoffmann, J., Berner, M., Butz, M.V., Herbort, O., Kiesel, A., Kunde, W., & Lenhard, A. (2007). Explorations of anticipatory behavioral control (ABC): A report from the cognitive psychology unit of the University of Würzburg. Cognitive Processing, 8, 133-142.

Hoffmann, J., Butz, M.V., Herbort, O., Kiesel, A., & Lenhard, A. (2007). Spekulationen zur Struktur ideo-motorischer Beziehungen. Zeitschrift für Sportpsychologie, 14, 95-104.

2006

Butz, M.V., Pelikan, M., Llorà, X., & Goldberg, D.E. (2006). Automated global structure extraction for effective local building block processing in XCS. Evolutionary Computation, 14, 345-380.

2005

Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2005). Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems. IEEE Transactions on Evolutionary Computation, 9, 452-473.

Butz, M.V., Sastry, K., & Goldberg, D.E. (2005). Strong, stable, and reliable fitness pressure in XCS due to tournament selection. Genetic Programming and Evolvable Machines, 6, 53-77.

2004

Butz, M.V. (2004). Anticipation for learning, cognition, and education. On the Horizon, 12, 111-116.

Butz, M.V., Kovacs, T., Lanzi, P.L., & Wilson, S.W. (2004). Toward a theory of generalization and learning in XCS. IEEE Transactions on Evolutionary Computation, 8, 28-46.

2003

Butz, M.V., Goldberg, D.E., & Tharakunnel, K. (2003). Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy. Evolutionary Computation, 11, 239-277.

2002

Butz, M.V., Goldberg, D.E., & Stolzmann, W. (2002). The anticipatory classifier system and genetic generalization. Natural Computing, 1, 427-467.

Butz, M.V., & Hoffmann, J. (2002). Anticipations control behavior: Animal behavior in an anticipatory learning classifier system. Adaptive Behavior, 10, 75-96.

Butz, M.V., & Wilson, S.W. (2002). An Algorithmic Description of XCS. Soft Computing, 6, 144-153.

Conference Papers, Workshop Papers, & Book Chapters

Butz, M.V., & Pezzulo, G. (in press). Anticipatory learning. Encyclopedia of the Sciences of Learning.

Pezzulo, G., & Butz, M.V. (in press). Schema-based architectures of machine learning. Encyclopedia of the Sciences of Learning.

Ehrenfeld, S., Herbort, O.,& Butz, M. V. (submitted). On modular, multimodal arm control models. In Baldassarre, G., & Mirolli, M. (Eds.) Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer Verlag.

2011

Alin, A., Butz, M.V., & Fritsch, J. (2011). Tracking moving vehicles using an advanced drid-based Bayesian filter approach. IEEE Intelligent Vehicles Symposium (IV), 466-472.

Butz, M.V., & Sigaud, O. (2011). XCSF with local deletion: Preventing detrimental forgetting. Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, ACM, 383-390.

Butz, M.V., & Stalph, P. O. (2011). Modularization of XCSF for multiple output dimensions. Proceedings of the 13th annual conference on Genetic and evolutionary computation, ACM, 1243-1250.

Endler, A., Rey, G.D., & Butz, M.V. (2011) Extracting adaptation strategies for e-learning programs with XCS. Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, ACM, 743-746. .

Ehrenfeld, S., & Butz, M.V. (2011). A Modular, Redundant, Multi-Frame of Reference Representation for Kinematic Chains. IEEE International Conference on Robotics and Automation, ICRA 2011, 141-147.

Lohmann, J. & Butz, M. V. (2011). Learning a neural multimodal body schema: Linking vision with proprioception. In Hammer, B. & Villmann, T. (Eds.) Workshop New Challenges in Neural Computation 2011, University of Bielefeld, Dept. of Technology CITEC, 53-57.

2010

Butz, M.V. (2010). Curiosity in learning sensorimotor maps. In Johannes Haack, Heike Wiese, Andreas Abraham, & Christian Chiarcos (Eds.). KogWis 2010 - 10. Tagung der Gesellschaft für Kognitionswissenschaft (p.92). Potsdam Cognitive Science Series 2.

Herbort, O., Butz, M. V. & Pedersen G. (2010). The SURE REACH model for motor learning and control of a redundant arm: From modeling human behavior to applications in robots. In J. Peters and O. Sigaud (Eds.), From motor to interaction learning in robots (pp 85-106). Berlin Heidelberg: Springer.

Pedersen, G.K.M., & Butz, M.V. (2010). Evolving robust controller parameters using CMA. Genetic and Evolutionary Computation Conference, GECCO 2010, 1251-1258.

Pedersen, G.K.M., & Butz, M.V. (2010). Parameter investigation of muscle-like actuators. 1st International Conference on Applied Bionics and Biomechanics. ICABB-2010.

Stalph, P.O., & Butz, M.V. (2010). Current XCSF capabilities and challenges. In J. Bacardit, J. Drugowitsch, W. Browne, E. Bernadó-Mansilla, & M.V. Butz (Eds.), Learning classifier systems, LNCS 6471 (pp 57-69). Berlin Heidelberg: Springer.

Stalph, P.O., & Butz, M.V. (2010). How fitness estimates interact with reproduction rates: Towards variable offspring set sizes in XCSF. In J. Bacardit, J. Drugowitsch, W. Browne, E. Bernadó-Mansilla, & M.V. Butz (Eds.), Learning classifier systems, LNCS 6471 (pp 47-56). Berlin Heidelberg: Springer.

Stalph, P.O., Rubinsztajn, J., Sigaud, O, & Butz, M.V. (2010). A comparative study: Function approximation with LWPR and XCSF. Genetic and Evolutionary Computation Conference, GECCO 2010, IWLCS Workshop Proceedings. 1863-1870.

Sugita, Y, & Butz, M.V. (2010). Towards emergent strong systematicity in a simple dynamical connectionist network. CONAS: Cognitive and Neural Models for Automated Processing of Speech and Text. http://conas.elis.ugent.be.

2009

Butz, M.V. (2009). Sensorimotor self-motivated cognition. In Ute Schmid, Marco Ragni, & Markus Knauff (Eds.). Workshop on Complex Cognition. 32nd Annual Conference on Artificial Intelligence, KI 2009, Workshop Proceedings.

Butz, M.V., & Lönneker, T. (2009). Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. IEEE Symposium on Computational Intelligence in Games, IEEE CIG 2009, 317-324.

Butz, M.V., & Pedersen, G.K.M. (2009). The scared robot: Motivations in a simulated robot arm. 32nd Annual Conference on Artificial Intelligence, KI 2009, 460-467.

Butz, M.V., Pedersen, G.K.M., & Stalph, P.O. (2009). Learning sensorimotor control structures with XCSF: Redundancy exploitation and dynamic control. Genetic and Evolutionary Computation Conference, GECCO 2009, 1171-1178.

Linhardt, M.J., & Butz, M.V. (2009). NEAT in increasingly non-linear control situations. Genetic and Evolutionary Computation Conference, GECCO 2009, 2091-2095.

Pelikan, M., Sastry, K., Goldberg, D.E., Butz, M.V., & Hauschild, M. (2009). Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. Genetic and Evolutionary Computation Conference, GECCO 2009, 851-858.

Pezzulo, G., Butz, M. V., Sigaud, O., & Baldassarre, G. (2009). From sensorimotor to higher-level cognitive processes: An introduction to anticipatory behavior systems. In Pezzulo, G., Butz, M.V., Sigaud O., & Baldassarre, G. (Eds.) Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems, LNAI 5499, Springer-Verlag, Berlin Heidelberg, 1-9.

Sigaud, O., Butz, M. V., Kozlova, O., & Meyer, C. (2009). Anticipatory learning classifier systems and factored reinforcement learning. In Pezzulo, G., Butz, M.V., Sigaud O., & Baldassarre, G. (Eds.) Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems, LNAI 5499, Springer-Verlag, Berlin Heidelberg, 321-333.

Stalph, P.O., Butz, M.V., Goldberg, D.E., & Llorà, X. (2009). On the scalability of XCS(F). Genetic and Evolutionary Computation Conference, GECCO 2009, 1315-1322.

Stalph, P.O., Butz, M.V., & Pedersen, G.K.M. (2009). Controlling a four degree of freedom arm in 3D using XCSF. 32nd Annual Conference on Artificial Intelligence, KI 2009, 193-200.

Shirinov, E., & Butz, M.V. (2009). Distinction between types of motivations: Emergent behavior with a neural, model-based reinforcement learning system. 2009 IEEE Symposium Series on Artificial Life (ALIFE 2009) Proceedings, 69-76.

Lohmann, J., Herbort, O., Wagener, A., & Kiesel, A. (2009). Anticipations of time spans: New data from the foreperiod paradigm and the adaptation of a computational model. In G. Pezzulo, M. V. Butz, O. Sigaud, G. Baldassarre (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems (pp. 170-187). Berlin, Heidelberg: Springer. (book website).

2008

Bacardit, J., Bernadó-Mansilla, E., & Butz, M.V. (2008). Learning classifier systems: Looking back and glimpsing ahead. In Bacardit, J., Bernadó-Mansilla, E., Butz, M.V., Kovacs, T., Llorà, X., & Takadama, K. (Eds.) Learning Classifier Systems, LNAI 4998, Springer-Verlag, Berlin Heidelberg, 1-21.

Butz, M.V., Herbort, O., & Pezzulo, G. (2008). Anticipatory, goal-directed behavior. In Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (Eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225, Springer-Verlag, Berlin Heidelberg, 85-114.
(References)

Butz, M.V., & Pezzulo, G. (2008). Benefits of anticipations in cognitive agents. In Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (Eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225, Springer-Verlag, Berlin Heidelberg, 45-62.
(References)

Butz, M.V., & Herbort, O. (2008). Context-dependent predictions and cognitive arm control with XCSF. GECCO 2008: Genetic and Evolutionary Computation Conference, 1357-1364 (best paper award).

Butz, M.V., Lanzi, P. L., Llorà, X., & Loiacono, D. (2008). An analysis of matching in learning classifier systems. GECCO 2008: Genetic and Evolutionary Computation Conference, 1349-1356.

Butz, M.V., Reif, K., & Herbort, O. (2008). Bridging the gap: Learning sensorimotor-linked population codes for planning and motor control. International Conference on Cognitive Systems (CogSys 2008).

Butz, M.V., Stalph, P., & Lanzi, P. L. (2008). Self-adaptive mutation in XCSF. GECCO 2008: Genetic and Evolutionary Computation Conference, 1365-1372.

Herbort, O., Butz, M. V., & Hoffmann, J. (2008). Multimodal goal representations and feedback in hierarchical motor control. International Conference on Cognitive Systems (CogSys 2008).

Klügl, F., Hatko, R., & Butz, M. V. (2008). Agent learning instead of behavior implementation for simulations ? A case study using classifier systems. 6th German Conference on Multi-Agent System Technologies, MATES 2008, 111?122.

Pezzulo, G., Butz, M.V., & Castelfranchi, C. (2008). The Anticipatory Approach: Definitions and Taxonomies. In Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (Eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225, Springer-Verlag, Berlin Heidelberg, 23-43.
(References)

Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (2008). Introduction: Anticipation in Natural and Artificial Cognition. In Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (Eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225, Springer-Verlag, Berlin Heidelberg, 3-22.
(References)

Pezzulo, G., Butz, M.V., Castelfranchi, C., Falcone, R., Baldassarre, G., Balkenius, C., Förster, A., Grinberg, M., Herbort, O., Kiryazov, K., Kokinov, B., Johansson, B., Lalev, E., Lorini, E., Martinho, C., Miceli, M., Ognibene, D., Paiva, A., Petkov, G., Piunti, M. & Thorsteinsdottir, V. (2008). Endowing artificial systems with anticipatory capabilities: Success cases. In Pezzulo, G., Butz, M.V., Castelfranchi, C., & Falcone, R. (Eds.) The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems, LNAI 5225, Springer-Verlag, Berlin Heidelberg, 237-254.
(References)

Stalph, P., & Butz, M. V. (2008). Towards increasing learning speed and robustness of XCSF: Experimenting with larger offspring set sizes. GECCO 2008: Genetic and Evolutionary Computation Conference, Workshop Proceedings IWLCS 2008, 2023-2029.

2007

Bacardit, J., & Butz, M.V. (2007). Data mining in learning classifier systems: Comparing XCS with GAssist. In Kovacs, T., Llorà, X., Takadama, K., Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Learning Classifier Systems: International Workshops, IWLCS 2003-2005, LNAI 4399, Springer-Verlag, Berlin Heidelberg. 282-290.

Bacardit, J., Goldberg, D.E., & Butz, M.V. (2007). Improving the performance of a Pittsburgh learning classifier system using a default rule. In Kovacs, T., Llorà, X., Takadama, K., Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Learning Classifier Systems: International Workshops, IWLCS 2003-2005, LNAI 4399, Springer-Verlag, Berlin Heidelberg. 291-307.

Butz, M.V. (2007). Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. Seventh International Conference on Hybrid Intelligent Systems (HIS 2007), 12-17.

Butz, M. V. (2007). Documentation of XCSFJava 1.1 plus visualization. Missouri Estimation of Distribution Algorithms Laboratory, MEDAL Report No. 2007008.

Butz, M.V. (2007). The XCSF Classifier System in Java. SIGEVOlution, 2, 2, 10-13.

Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2007). Effect of pure error-based fitness in XCS. In Kovacs, T., Llorà, X., Takadama, K., Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Learning Classifier Systems: International Workshops, IWLCS 2003-2005, LNAI 4399, Springer-Verlag, Berlin Heidelberg. 104-114.

Butz, M.V., Lenhard, A., & Herbort, O. (2007). Emergent effector-independent internal spaces: Adaptation and intermanual learning transfer in humans and neural networks. International Joint Conference on Neural Networks (IJCNN 2007). 1509-1514.

Butz, M.V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (2007). Anticipations, brains, individual and social behavior: An introduction to anticipatory systems. In Butz M.V., Sigaud O., Pezzulo G., & Baldassarre, G. (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. LNAI 4520, Berlin Heidelberg: Springer-Verlag, 1-18.

Herbort, O., & Butz, M.V. (2007). Encoding complete body models enables task dependent optimal behavior. International Joint Conference on Neural Networks (IJCNN 2007). 1424-1429.

Herbort, O., Ognibene, O., Butz, M.V., & Baldassarre, G. (2007). Learning to select targets within targets in reaching tasks. The 6^th IEEE International Conference on Development and Learning (ICDL2007), 7-12.

Lanzi, P.L., Butz, M.V., & Goldberg, D.E. (2007). Empirical Analysis of Generalization and Learning in XCS with Gradient Descent. GECCO 2007: Genetic and Evolutionary Computation Conference. 1814-1821.

Pezzulo, G., Baldassarre, G., Butz, M.V., Castelfranchi, C., & Hoffmann, J. (2007). From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In Butz, M.V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. LNAI 4520, Berlin Heidelberg: Springer-Verlag, 73-93.

2006

Butz, M.V., Lanzi, P. L., & Wilson, S. W. (2006). Hyper-ellipsoidal conditions in XCS: Rotation, linear approximation, and solution structure. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006), 1457-1464.

Butz, M.V., & Pelikan, M. (2006). Studying XCS/BOA learning in Boolean functions: Structure encoding and random Boolean functions. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006), 1449-1456.

Lima, C.F., Pelikan, M., Sastry, K., Butz, M.V., Goldberg, D.E., & Lobo, F.G. (2006). Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. Parallel Problem Solving from Nature - PPSN IX, 232-241.

Pelikan, M., Sastry, K., Butz, M.V., & Goldberg, D.E. (2006). Performance of Evolutionary Algorithms on Random Decomposable Problems. Parallel Problem Solving from Nature - PPSN IX, 788-797

Pezzulo, G., Baldassarre, G., Butz, M.V., Castelfranchi, C., & Hoffmann, J. (2006). An Analysis of the Ideomotor Principle and TOTE. In Butz M.V., Sigaud O., Pezzulo G., Baldassarre G. (Eds.) Proceedings of the Third Workshop on Anticipatory Behavior in Adaptive Learning Systems (ABiALS 2006).

2005

Butz, M.V. (2005). Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005), 1835-1842.

Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2005). Computational complexity of the XCS classifier system. In Bull, L., & Kovacs, T. (Eds.) Foundations of Learning Classifier Systems, 91-126.

Butz, M.V., Pelikan, M., Llorà, X., & Goldberg, D.E. (2005). Extracted global structure makes local building block processing effective in XCS. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005), 655-662.

Herbort, O., Butz, M.V., & Hoffmann, J. (2005). Towards an adaptive hierarchical anticipatory behavioral control system. In Castelfranchi, C.; Balkenius, C.; Butz, M.V., & Ortony, A. (Eds.) From Reactive to Anticipatory Cognitive Embodied Systems: Papers from the AAAI Fall Symposium, AAAI Press, 2005, 83-90.

Herbort, O., Butz, M.V., & Hoffmann, J. (2005). Towards the advantages of hierarchical anticipatory behavioral control. In Opwis, K., & Penner, I. (Eds.) Proceedings of the KogWis05. The German Cognitive Science Conference, Schwabe, 2005, 77.

2004

Bacardit, J., Goldberg, D.E., Butz, M.V., Llorà, X., & Garrell, J.M. (2004). Speeding-up Pittsburgh learning classifier systems: Modelling time and accuracy. Parallel Problem Solving from Nature - PPSN VIII, LNCS 3242, 1021-1031.

Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2004). Bounding learning time in XCS. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), LNCS 3103, 739-750.

Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2004). Gradient-based learning updates improve XCS performance in multistep problems. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), LNCS 3103, 751-762.

Butz, M.V., Lanzi, P.L., Llorà, X., & Goldberg, D.E. (2004). Knowledge extraction and problem structure identification in XCS. Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, LNCS 3242, 1051-1060.

Butz, M.V., Swarup, S., & Goldberg, D.E. (2004). Effective online detection of task-independent landmarks. Online Proceedings for the ICML'04 Workshop on Predictive Representations of World Knowledge.

2003

Butz, M.V., & Goldberg, D.E. (2003). Bounding the population size in XCS to ensure reproductive opportunities. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003). LNCS 2724, 1844-1856.

Butz, M.V., & Ray, S. (2003). Bidirectional ARTMAP: An artificial mirror neuron system. Proceedings of the International Joint Conference on Artificial Neural Networks (IJCNN 2003). 1417-1422.

Butz, M.V., Sastry, K., & Goldberg, D.E. (2003). Tournament selection in XCS. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003). LNCS 2724, 1857-1869. (Best paper award)

Tharakunnel, K., Butz, M.V., & Goldberg, D.E. (2003). Towards building block propagation in XCS: A negative result and its implications. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2003). LNCS 2724, 1906-1917.

2002

Butz, M.V. (2002). Biasing exploration in an anticipatory learning classifier system. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Advances in Learning Classifier Systems: Fourth International Workshop (IWLCS 2001), LNAI 2321, Springer-Verlag, Berlin Heidelberg. 3-22.

Butz, M.V., & Goldberg, D.E. (2002). Generalized state values in an anticipatory learning classifier system. Seventh International Conference on Simulation of Adaptive Behavior: From animals to animats. Adaptive Behavior in Anticipatory Learning Systems Workshop Proceedings. 78-96.

Butz, M.V., Sigaud, O., & Gérard, P. (2002). Internal models and anticipations in adaptive learning systems. Seventh International Conference on Simulation of Adaptive Behavior: From animals to animats. Adaptive Behavior in Anticipatory Learning Systems Workshop Proceedings. 1-20.

Butz, M.V., & Stolzmann, W. (2002). An algorithmic description of ACS2. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Advances in Learning Classifier Systems: Fourth International Workshop (IWLCS 2001), LNAI 2321, Springer-Verlag, Berlin Heidelberg. 211-230.

2001

Butz, M.V., Goldberg, D.E., & Stolzmann, W. (2001). Probability-enhanced predictions in the anticipatory classifier system. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Advances in Learning Classifier Systems: Third International Workshop (IWLCS 2000), LNAI 1996, Springer-Verlag, Berlin Heidelberg. 37-52

Butz, M.V., Kovacs, T., Lanzi, P.L., & Wilson, S.W. (2001). How XCS evolves accurate classifiers. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 927-934

Butz, M.V., & Pelikan, M. (2001). Analyzing the evolutionary pressures in XCS. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 935-942.

Butz, M.V., & Wilson, S.W. (2001). An algorithmic description of XCS. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Advances in Learning Classifier Systems: Third International Workshop (IWLCS 2000), LNAI 1996, Springer-Verlag, Berlin Heidelberg. 253-272.

2000

Butz, M.V., Goldberg, D.E., & Stolzmann, W. (2000). Introducing a genetic generalization pressure to the anticipatory classifier system: Part 1 - theoretical approach. Proceedings of the Second Genetic and Evolutionary Computation Conference (GECCO-2000), 34-41.

Butz, M.V., Goldberg, D.E., & Stolzmann, W. (2000). Introducing a genetic generalization pressure to the anticipatory classifier system: Part 2 - performance analysis. Proceedings of the Second Genetic and Evolutionary Computation Conference (GECCO-2000), 42-49.

Butz, M.V., Goldberg, D.E., & Stolzmann, W. (2000). Investigating genetic generalization in the anticipatory classifier system. Parallel problem solving from nature (PPSN VI), 735-744.

Stolzmann, W., & Butz, M.V. (2000). Latent learning and action planning in robots with anticipatory classifier systems. In Lanzi, P.L., Stolzmann, W., & Wilson, S.W. (Eds.) Learning Classifier Systems: From Foundations to Applications, LNAI 1813, Springer-Verlag, Berlin Heidelberg, 301-317.

Stolzmann, W., Butz, M.V., Hoffmann, J., & Goldberg, D.E. (2000). First cognitive capabilities in the anticipatory classifier system. Sixth International Conference on Simulation of Adaptive Behavior: From animals to animats. (SAB VI), 287-296.

1999

Butz, M.V., & Stolzmann, W. (1999). Action-planning in anticipatory learning classifier systems. 2^nd International Workshop on Learning Classifier Systems (IWLCS-99). Genetic and Evolutionary Computation Conference (GECCO 1999) Workshop Program, 242-249.