Martin V. Butz

Martin Butz

2008
61		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 Springer 2008
60		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 Springer 2008
59	EE	Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono: An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356
58	EE	Martin V. Butz, Oliver Herbort: Context-dependent predictions and cognitive arm control with XCSF. GECCO 2008: 1357-1364
57	EE	Martin V. Butz, Patrick Stalph, Pier Luca Lanzi: Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372
56	EE	Patrick Stalph, Martin V. Butz: Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. GECCO (Companion) 2008: 2023-2030
55	EE	Martin V. Butz: Learning classifier systems. GECCO (Companion) 2008: 2367-2388
54	EE	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
53	EE	Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi: The Anticipatory Approach: Definitions and Taxonomies. The Challenge of Anticipation 2008: 23-43
52	EE	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
51	EE	Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone: Introduction: Anticipation in Natural and Artificial Cognition. The Challenge of Anticipation 2008: 3-22
50	EE	Martin V. Butz, Giovanni Pezzulo: Benefits of Anticipations in Cognitive Agents. The Challenge of Anticipation 2008: 45-62
49	EE	Martin V. Butz, Oliver Herbort, Giovanni Pezzulo: Anticipatory, Goal-Directed Behavior. The Challenge of Anticipation 2008: 85-113
48	EE	Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008)
47	EE	Martin V. Butz: Sensomotorische Raumrepräsentationen. Informatik Spektrum 31(3): 237-240 (2008)
2007
46		Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre: Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior [the book is a result from the third workshop on anticipatory behavior in adaptive learning systems, ABiALS 2006, Rome, Italy, September 30, 2006, colocated with SAB 2006] Springer 2007
45	EE	Pier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821
44	EE	Martin V. Butz: Learning classifier systems. GECCO (Companion) 2007: 3035-3056
43	EE	Martin V. Butz: Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. HIS 2007: 12-17
42	EE	Oliver Herbort, Martin V. Butz: Encoding Complete Body Models Enables Task Dependent Optimal Behavior. IJCNN 2007: 1639-1644
41	EE	Martin V. Butz, Alexandra Lenhard, Oliver Herbort: Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. IJCNN 2007: 1970-1975
40	EE	Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz: Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21
39	EE	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry: Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007)
2006
38	EE	Martin V. Butz, Martin Pelikan: Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO 2006: 1449-1456
37	EE	Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464
36	EE	Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432
35	EE	Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo: Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN 2006: 232-241
34	EE	Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797
33	EE	Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre: Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. SAB ABiALS 2006: 1-18
32	EE	Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, Joachim Hoffmann: From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. SAB ABiALS 2006: 73-93
31	EE	Martin Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling 2006: 249-273
30	EE	Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evolutionary Computation 14(3): 345-380 (2006)
2005
29	EE	Martin V. Butz: Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. GECCO 2005: 1835-1842
28	EE	Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662
27	EE	Arnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg: Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA 2005: 280-285
26	EE	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114
25	EE	Jaume Bacardit, Martin V. Butz: Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS 2005: 282-290
24	EE	Jaume Bacardit, David E. Goldberg, Martin V. Butz: Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307
23	EE	Martin V. Butz, Kumara Sastry, David E. Goldberg: Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genetic Programming and Evolvable Machines 6(1): 53-77 (2005)
22	EE	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005)
2004
21	EE	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750
20	EE	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762
19	EE	Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu: Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN 2004: 1021-1031
18	EE	Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060
17		Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)
2003
16		Martin Butz, Olivier Sigaud, Pierre Gérard: Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems Springer 2003
15	EE	Martin Butz, Olivier Sigaud, Pierre Gérard: Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. Anticipatory Behavior in Adaptive Learning Systems 2003: 1-10
14	EE	Martin Butz, David E. Goldberg: Generalized State Values in an Anticipatory Learning Classifier System. Anticipatory Behavior in Adaptive Learning Systems 2003: 282-301
13	EE	Martin Butz, Olivier Sigaud, Pierre Gérard: Internal Models and Anticipations in Adaptive Learning Systems. Anticipatory Behavior in Adaptive Learning Systems 2003: 86-109
12	EE	Martin Butz, David E. Goldberg: Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856
11	EE	Martin Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869
10	EE	Kurian K. Tharakunnel, Martin Butz, David E. Goldberg: Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917
9		Martin Butz, David E. Goldberg, Kurian K. Tharakunnel: Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evolutionary Computation 11(3): 239-277 (2003)
2002
8	EE	Martin Butz, Stewart W. Wilson: An algorithmic description of XCS. Soft Comput. 6(3-4): 144-153 (2002)
2001
7	EE	Martin Butz, Wolfgang Stolzmann: An Algorithmic Description of ACS2. IWLCS 2001: 211-230
6	EE	Martin Butz: Biasing Exploration in an Anticipatory Learning Classifier System. IWLCS 2001: 3-22
2000
5		Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO 2000: 42-49
4	EE	Martin Butz, Stewart W. Wilson: An Algorithmic Description of XCS. IWLCS 2000: 253-272
3	EE	Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51
2		Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Investigating Generalization in the Anticipatory Classifier System. PPSN 2000: 735-744
1999
1	EE	Wolfgang Stolzmann, Martin Butz: Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems. Learning Classifier Systems 1999: 301-320

Coauthor Index

1	Jaume Bacardit	[19] [24] [25] [40] [61]
2	Gianluca Baldassarre	[32] [33] [46] [52]
3	Christian Balkenius	[52]
4	Ester Bernadó-Mansilla (Ester Bernadó i Mansilla)	[40] [61]
5	Cristiano Castelfranchi	[32] [51] [52] [53] [60]
6	Rino Falcone	[51] [52] [60]
7	Alexander Förster	[52]
8	Pierre Gérard	[13] [15] [16]
9	David E. Goldberg	[2] [3] [5] [9] [10] [11] [12] [14] [18] [19] [20] [21] [22] [23] [24] [26] [27] [28] [30] [31] [34] [35] [36] [39] [45]
10	Maurice Grinberg	[52]
11	Josep Maria Garrell i Guiu	[19]
12	Reinhard Hatko	[54]
13	Oliver Herbort	[41] [42] [49] [52] [58]
14	Joachim Hoffmann	[32]
15	Birger Johansson	[52]
16	Kiril Kiryazov	[52]
17	Franziska Klügl-Frohnmeyer (Franziska Klügl)	[54]
18	Boicho N. Kokinov	[52]
19	Jerzy J. Korczak	[27]
20	Tim Kovacs	[17] [61]
21	Emilian Lalev	[52]
22	Pier Luca Lanzi	[17] [18] [20] [21] [22] [26] [37] [39] [45] [48] [57] [59]
23	Alexandra Lenhard	[41]
24	Cláudio F. Lima	[35]
25	Xavier Llorà	[18] [19] [28] [30] [31] [59] [61]
26	Fernando G. Lobo (Fernando Graça Lobo)	[35]
27	Daniele Loiacono	[59]
28	Emiliano Lorini	[52]
29	Carlos Martinho	[52]
30	Maria Miceli	[52]
31	Dimitri Ognibene	[52]
32	Ana Paiva	[52]
33	Martin Pelikan	[28] [30] [31] [34] [35] [36] [38]
34	Georgi Petkov	[52]
35	Giovanni Pezzulo	[32] [33] [46] [49] [50] [51] [52] [53] [60]
36	Michele Piunti	[52]
37	Arnaud Quirin	[27]
38	Kumara Sastry	[11] [23] [34] [35] [36] [39]
39	Olivier Sigaud	[13] [15] [16] [33] [46]
40	Patrick Stalph	[56] [57]
41	Wolfgang Stolzmann	[1] [2] [3] [5] [7]
42	Keiki Takadama	[61]
43	Kurian K. Tharakunnel	[9] [10]
44	Vin Thorsteinsdottir	[52]
45	Stewart W. Wilson	[4] [8] [17] [37] [48]

Colors in the list of coauthors