Curriculum Vitae
Martin
V. Butz, Ph.D.
Department of Cognitive Psychology III
Röntgenring 11
97070
Phone: +49-9306-984 204 (home), +49-931-31
2192 (work),
+49-1766-258 0291 (cell)
Fax: +49-931-31 2815
E-mail: butz[a@t]psychologie.uni-wuerzburg.de
Homepage: http://www.psychologie.uni-wuerzburg.de/i3pages/butz/
Updated: January, 2009
Born on
the 4th of August, 1975 in Würzburg, Germany.
Married to Marjorie H. Kinney since 11th of
August, 2006.
Father
of Samuel R. H. Butz, born on the 30th of September 2008.
Adaptive behavior, anticipatory mechanisms,
cognitive systems, neuroscience, learning classifier systems, XCS, (recurrent, hierarchical,
and self-organizing) neural networks
|
Aug.1985-Aug. 1995 |
Student
at the Gymnasium of Bad Degree:
Abitur |
|
Aug. 1992-July 1993 |
Exchange
student in |
|
Sep. 1995-Aug. 2001 |
Diploma
student of computer science with minor in mathematics (Sep.1995-Feb.1998) and
psychology (March 1998-Aug. 2001) at the University of Degree: Diplom mit Auszeichnung (diploma with honors). |
|
Aug. 1999-July 2000 |
Visiting
scholar at the Illinois Genetic Algorithms Laboratory
(IlliGAL) at the |
|
Sep.2001-Sep.2004 |
Research
assistant at the Department of Cognitive Psychology at the University of Würzburg, Germany. |
|
Jan.2002-Oct.2004 |
PhD
student at the Degree:
PhD in computer science, Advisor: David E. Goldberg. |
|
Jan.2002-July 2002 |
Research
assistant at the Illinois Genetic Algorithms Laboratory (IlliGAL) |
|
Aug.2002-May 2003 |
Research
assistant at NCSA, |
|
Aug.2003-July 2004 |
Research
fellowship from the Computational Science and Engineering Graduate Option
Program (CSE), |
|
Oct. 2004-Sep.2007 |
Post-doctoral
research assistant at the Department of Cognitive Psychology (III) at the
University of |
|
Aug.2005-Dec.2005 |
Visiting
Assistant Professor (teaching two CS courses plus research) at the |
|
since Oct.2007 |
Assistant
Professor. Leader of research group funded by the Emmy Noether
program of the German Research Foundation. |
-
Diploma with honors (Diplom mit
Auszeichnung, University of Würzburg, 10/2001)
-
Research fellowship from
the Computational Science and Engineering Graduate Option Program (CSE),
University of Illinois at Urbana/Champaign, IL, USA (08/2003-08/2004)
-
Research Grant in FP6: MindRACES:
From Reactive to Anticipatory Cognitive Embodied Systems (FP6-511931;
10/2004-09/2007)
-
Emmy Noether Grant von der
Deutschen Forschungsgemeinschaft (BU
1335/1; 10/2007-09/2012)
- Cited references according to cited reference search (from SSCI, 01/2009): 406 citations.
- Co-Organizer of
the International Workshop on Learning
Classifier Systems (IWLCS 2007 and
IWLCS 2008) at the Genetic and Evolutionary Computation Conference (GECCO
2007, London, UK; GECCO 2008, Atlanta, Georgia, USA).
- Co-Organizer of
workshop series Adaptive Behavior in
Anticipatory Learning Systems (ABiALS 2002, 2004, 2006, 2008). The
workshops were held during the Conference on Simulation of Adaptive Behavior:
From animals to animats (SAB 2002, 2004, 2006) and
the euCognition six-monthly meeting in Munich, June
26, 2008.
- Co-Organizer of
symposium From Reactive to Anticipatory
Cognitive Learning Systems at the AAAI Fall Symposium series, November 3-6,
2005, Hyatt Crystal City in Arlington, VA, USA.
- Track chair
(Learning Classifier Systems and other Genetics Based Machine Learning
Techniques) for the Genetic and Evolutionary Computation Conference (GECCO
2006)
- Tutorial chair for
the Genetic and Evolutionary Computation Conference (GECCO 2009).
- Member of Program Committee,
Genetic and Evolutionary Computation Conference (GECCO) 2001-2009 (San
Francisco (CA), New York (NY), Chicago (IL), Seattle (WA), Washington (DC),
Seattle (WA), London (UK), Atlanta (GA), Montréal (Canada)).
- Member of Program Committee:
International Workshop on Learning Classifier Systems (IWLCS) 2001-2009 (San
Francisco (CA), Granada (Spain), Chicago (IL), Seattle (WA), Washington (DC),
Seattle (WA), London (UK), Atlanta (GA), Montréal (Canada)).
- Invited participation and
poster presentation at the Cognitive Robotics, Intelligence and control workshop
(http://www.cogric.reading.ac.uk/)
at Cumberland Lodge,
- Reviewer for other conferences: CEC
2009, HIS 2008, ICML 2003, IEEE ALIFE 2007, 2009, IJCNN 2007, WCCI 2008.
- Reviewer for journal submissions: Adaptive
Behavior, Artificial Life, Artificial Intelligence Review, Constructivist
Foundations, Data & Knowledge Engineering Journal, Evolutionary
Computation, IEEE Transactions on Evolutionary Computation, IEEE Transactions
on Fuzzy Systems, IEEE Transactions on Neural Networks, IEEE Transactions on
Data and Knowledge Engineering, Image and Vision Computing, Intelligent Automation and Soft Computing, International Journal of
Computers and Applications, Journal of Computing and Information Technology,
Journal of Global Optimization, Journal of Heuristics, Journal of Machine
Learning Research, Machine Learning, Natural Computing, Neurocomputing,
Neuroscience Letters, Pattern Analysis and Applications Journal.
- Butz,
M. V. (2008). Flexible, Adaptive Bodyspace-Based
Control: Learning Modular, Interactive Sensorimotor
Spaces. Department of Cognitive Neurology, University Clinic Tübingen, Germany, 17th of November.
- Butz,
M. V. (2008). Flexible, Autonomous Behavioral Control: Learning and Adapting Sensorimotor
Spaces. Lernen Wissen Adaptivität (LWA 2008), Würzburg,
Germany, 8th of October.
- Butz,
M. V. (2007). Kognitive Robotik:
Einführung und die Herausforderung der Lernens, Informatik-Kolloquium,
Department of Computer Science, University of Würzburg, 29th of October.
- Butz,
M. V. (2007). Learning Classifier Systems
(Tutorial) Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta,
GA, USA, 12th of July.
- Butz,
M. V. (2007). Combining Gradient-Based
With Evolutionary Online Learning: An Introduction to Learning Classifier
Systems (Tutorial) 7th International Conference on Hybrid Intelligent
Systems, Kaiserslautern, Germany, 17th of September 2007.
- Butz,
M. V. (2007). Learning Classifier Systems
(Tutorial). Genetic and Evolutionary Computation Conference (GECCO 2007), London,
UK, 7th of July.
- Butz,
M. V. (2006). Emotions and Anticipations.
Networking session on Embodied Emotion, Cognition and Action for Autonomous and
Interactive Artifacts. IST 2006 event in
- Butz,
M. V. (2006). Anticipations in Learning and Cognition. Networking session on Learning & Cognition
in Humans & Machines. IST 2006 event in
- Butz, M. V. (2006). XCS: Current Capabilities
and Future Challenges. NCSA/IlliGAL
Gathering on Evolutionary Learning (NIGEL’2006),
- Butz, M. V. (2006). The XCS Learning Classifier System: From Theory to Applications. Cybernetics Intelligence Group, The University
of
- Butz, M. V. (2006). Benefits of Anticipatory Behavior. Learning
Classifier Systems Group, University of the West of
- Butz, M. V. (2006). The XCS Learning Classifier System: From Theory to Applications.
- Butz, M. V. (2006). Learning Classifier Systems. Organic Computing Colloquium at
- Butz,
M. V. (2005). The XCS Learning Classifier
System: From Theory to Applications.
- Butz,
M. V. (2005). The XCS Learning Classifier
System: From Theory to Application (Tutorial). Genetic and Evolutionary
Computation Conference (GECCO 2005), Washington, DC, 26th of July.
- Butz,
M. V. (2005). The XCS Learning Classifier
System: From Theory to Application. Dalle Moole Institute for Artificial Intelligence (IDSIA), Lugano, Schweiz, 22nd of
March.
- Butz,
M. V. (2005). Rule-based Evolutionary
Online Learning Systems. Lehrstuhl für Robotics and Telematics at
the University of
- Butz,
M. V. (2003). Bounding Models in Learning
Classifier Systems. Lehrstuhl für
Wirtschaftsinformatik at the University of Mannheim,
Germany, 1st of July.
- Butz,
M. V. (2002). Learning Classifier Systems.
Seventh International Conference on Simulation of Adaptive Behavior: From
animals to animats, (SAB 2002),
University of
Aug.2005 – Dec.2005 CS 2710 – Computer Systems: Programming
CS 5130 – Advanced Data Structures and Algorithms
University
of Würzburg, Germany
Oct. 2006 – Feb. 2007 Seminar:
Aktuelle Trends in der Künstlichen Intelligenz
und
Kognitionswissenschaft
Apr. 2007 – Jul. 2007 Seminar: Aktuelle Trends in der
Künstlichen Intelligenz
und
Kognitionswissenschaft
Oct. 2007 – Feb. 2008 Seminar:
Aktuelle Trends in der Künstlichen Intelligenz
und
Kognitionswissenschaft
Praktikum: Modellierung
intelligenter Systeme
Apr. 2008 – Jul. 2008 Seminar: Aktuelle Trends in der
Künstlichen Intelligenz
und Kognitionswissenschaft
Lecture: Kognitive Systeme (Cognitive Systems). Student
evaluation: 1.4 (where 1 is best and 5 is worst).
Oct. 2008 – Feb. 2009 Praktikum: Modellierung intelligenter Systeme
Seminar: Human Computer Interaction
Seminar: Forschungsarbeiten der Kognitions- und Neuropsychologie
Apr. 2009 – Jul. 2009 Lecture: Maschinelles Lernen von Verhaltens-kontrollstrukturen (Machine Learning of Behavior Control)
Seminar:
Aktuelle Trends in der Künstlichen
Intelligenz
und
Kognitionswissenschaft
Machine learning, evolutionary computation, artificial neural networks, artificial intelligence, object-oriented design, cognitive sciences, psycholinguistics, anticipatory behavior and adaptation, cognitive systems.
C/C++, Java, Perl, Assembly, Html
UNIX (SUSE Linux), Microsoft Windows XP.
German Native speaker
English Fluent
French Basics
Latin Passive
Afrikaans Passive
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,
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,
Butz, M. V. (2002). Anticipatory
learning classifier systems. Kluwer Academic Publishers,
Herbort, O. & Butz, M. V. (submitted). Anticipatory Planning of Sequential Hand and Finger Movements. Journal of Motor Behavior.
Pedersen, G., Butz, M. V., & Herbort, O. (submitted). Integrating
Dynamics into a Human Behavior Model For Highly
Flexible Autonomous Manipulator Control. IEEE Robotics and Automation, Special
Issue on Cognitive Robotics.
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.
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
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., 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., 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.
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.
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.
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.
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).
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.
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.
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.
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.
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., &
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., &
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., &
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 6th 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.
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.
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,
Bacardit, J.,
Goldberg, D.E., Butz, M.V., Llorà, X., & Garrell,
J.M. (2004). Speeding-up
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,
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.
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David E. Goldberg
Department of General
Engineering
University of
Phone: ++1-217-333 0897
Fax: ++1-217-244 5705
email: deg[a@t]illigal.ge.uiuc.edu
Joachim
Hoffmann
Department of
Cognitive Psychology
Röntgenring 11
97070
Phone: ++49-931-31 2645
Fax: ++49-931-31 2815
email: hoffmann[a@t]psychologie.uni-wuerzburg.de
Pier Luca Lanzi
Dipartimento di Elettronica e Informazione
Politecnico di Milano
Piazza Leonardo da Vinci, 32
I-20133 Milano, Italy
Phone: ++ 39-02-2399-3472
Fax: ++ 39-02-2399-3411
email: lanzi[a@t]elet.polimi.it
Martin
Pelikan
Department of
Mathematics and Computer Science
University of Missouri at St. Louis, 320 CCB
8001 Natural Bridge Rd.
St. Louis, MO 63121
Phone: ++1-314-516-6348
Fax: ++1-314-516-5400
Email: pelikan[a@t]cs.umsl.edu