Dr. (PhD) Martin V. Butz

Address: Institut für Psychologie III (Department of Cognitive Psychology) Universität Würzburg Röntgenring 11 D-97070 Würzburg Phone: +49 (0)931 31 8 28 08 Fax: +49 (0)931 31 8 28 15 Office Hours: by appointment, room 305 Diploma: 2001, University of Würzburg Dissertation: 2004, University of Illinois Homepage: http://www.psychologie.uni-wuerzburg.de/i3pages/butz/ email:

Research Projects:

	From Reactive to Anticipatory Cognitive Embodied Systems (MindRACES)
	Self-developing adaptive behavior in artificial cognitive learning systems based on self-organizing, sensorimotor body space representation

Publications:

Books

• Butz, M. V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (Eds.) (in press). Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, LNAI 4520 (State-of-the-Art Survey). Springer Verlag, Berlin-Heidelberg, Germany.
• 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, Germany.
• 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., Lanzi, P.L., & Wilson, S.W. (in press). Function Approximation with XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Transactions on Evolutionary Computation.
• 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.

Journal Articles

• Butz, M.V. & Herbort, O. (2008). Context-dependent predictions and cognitive arm control with XCSF.  Proceedings of the 10th annual Conference on Genetic and Evolutionary Computation, 10, 1357-1364.
• Butz, M.V., Herbort, O., Pezzulo, G. (2008). Anticipatory, goal-directed behavior. In G. Pezzulo, M.V. Butz, C. Castelfranchi & R. Falcone (Eds.), The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems (pp. 85-113). Berlin, Heidelberg: Springer.
• Butz, M.V., Reif, K., & Herbort, O. (2008). Bridging the gap: learning sensorimotor-linked population codes for planning and motor control. Proceedings of the International Conference on Cognitive Systems, 2008.

• Butz, M.V., Herbort, O., & Hoffmann, J. (2007). Exploiting Redundancy for Flexible Behavior: Unsupervised Learning in a Modular Sensorimotor Control Architecture. Psychological Review,114(4), 1015-1046.
  
• Butz, M.V., Lenhard, A., & Herbort, O. (2007). Emergent effector-independent internal spaces: Adaptation and intermanual learning transfer in humans and neural networks. IJCNN 2007, 20, 1970-1975.
• Herbort, O. & Butz, M.V. (2007). Encoding complete body models enable task dependent optimal behavior. IJCNN 2007 20, 1639-1944.
• Herbort, O., Ognibene, D., Butz, M. V., & Baldassare, G. (2007). Learning to select targets within targets in reaching tasks. ICDL 2007, 6, 7-12.
• 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.
  
• 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.
• 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.
• 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.
• Butz, M.V. (2004). Anticipation for learning, cognition, and education. On the Horizon., 12, 111-116.
• Butz, M.V. and Kovacs, T. and Lanzi, P.L. and Wilson, S.W. (2004). Toward a theory of generalization and learning in XCS. IEEE Transactions on Evolutionary Computation, 8, 28-46.
• 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.
• 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 and Workshop Papers and Book Chapters

• Butz, M.V., & Lanzi, P.L. (in press). Empirical Analysis of Generalization and Learning in XCS with Gradient Descent. GECCO 2007.
• Butz, M.V., Lenhard, A., & Herbort, O. (in press). Emergent effector-independent internal spaces: Adaptation and intermanual learning transfer in humans and neural networks. International Joint Conference on Neural Networks (IJCNN 2007).
• Butz, M.V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (in press). 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.
  
• Herbort, O., & Butz, M.V. (in press). Encoding complete body models enables task dependent optimal behavior. International Joint Conference on Neural Networks (IJCNN 2007).
  
• Herbort, O., Ognibene, O., Butz, M.V., & Baldassarre, G. (submitted). Learning to select  targets within targets in reaching tasks. The 6th IEEE International Conference on Development and Learning (ICDL2007).
  
• Pezzulo, G., Baldassarre, G., Butz, M.V., Castelfranchi, C., & Hoffmann, J. (in press). 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.
  
• 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).
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Butz, M.V., & Stolzmann, W. (1999). Action-planning in anticipatory learning classifier systems. 2nd International Workshop on Learning Classifier Systems (IWLCS-99). Genetic and Evolutionary Computation Conference (GECCO 1999) Workshop Program, 242-249.

Lectures: