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Daniel Kudenko Vis

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*2009
49EEDaniel Kudenko, Marek Grzes: Knowledge-Based Reinforcement Learning for Data Mining. ADMI 2009: 21-22
48EERania A. HodHod, Daniel Kudenko, Paul A. Cairns: Educational Narrative and Student Modeling for Ill-Defined Domains. AIED 2009: 638-640
47EEMaría Arinbjarnar, Daniel Kudenko: Duality of Actor and Character Goals in Virtual Drama. IVA 2009: 386-392
2008
46 Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko: Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers Springer 2008
45EEMarek Grzes, Daniel Kudenko: Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. AIMSA 2008: 144-156
44EEArturo Servin, Daniel Kudenko: Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation. ECAI 2008: 873-874
43EEMarek Grzes, Daniel Kudenko: An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. ICAISC 2008: 1041-1051
42EEMarek Grzes, Daniel Kudenko: Multigrid Reinforcement Learning with Reward Shaping. ICANN (1) 2008: 357-366
41EEMaría Arinbjarnar, Daniel Kudenko: Schemas in Directed Emergent Drama. ICIDS 2008: 180-185
40EEHeather Barber, Daniel Kudenko: Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation. ICIDS 2008: 214-217
39EEArturo Servin, Daniel Kudenko: Multi-Agent Reinforcement Learning for Intrusion Detection: A Case Study and Evaluation. MATES 2008: 159-170
38EEEnda Ridge, Daniel Kudenko: Determining Whether a Problem Characteristic Affects Heuristic Performance. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 21-35
2007
37EEMatthew Grounds, Daniel Kudenko: Parallel reinforcement learning with linear function approximation. AAMAS 2007: 45
36 Heather Barber, Daniel Kudenko: Dynamic Generation of Dilemma-based Interactive Narratives. AIIDE 2007: 2-7
35EEArturo Servin, Daniel Kudenko: Multi-agent Reinforcement Learning for Intrusion Detection. Adaptive Agents and Multi-Agents Systems 2007: 211-223
34EEMatthew Grounds, Daniel Kudenko: Parallel Reinforcement Learning with Linear Function Approximation. Adaptive Agents and Multi-Agents Systems 2007: 60-74
33EEMatthew Grounds, Daniel Kudenko: Combining Reinforcement Learning with Symbolic Planning. Adaptive Agents and Multi-Agents Systems 2007: 75-86
32EEEnda Ridge, Daniel Kudenko: An Analysis of Problem Difficulty for a Class of Optimisation Heuristics. EvoCOP 2007: 198-209
31EEEnda Ridge, Daniel Kudenko: Analyzing heuristic performance with response surface models: prediction, optimization and robustness. GECCO 2007: 150-157
30EEEnda Ridge, Daniel Kudenko: Screening the parameters affecting heuristic performance. GECCO 2007: 180
29EEI-Hsien Ting, Chris Kimble, Daniel Kudenko: Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. ICALT 2007: 929-930
28EEI-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright: APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data. KES (2) 2007: 66-73
27EEEnda Ridge, Daniel Kudenko: Tuning the Performance of the MMAS Heuristic. SLS 2007: 46-60
26EEHeather Barber, Daniel Kudenko: Adaptive Generation of Dilemma-based Interactive Narratives. Advanced Intelligent Paradigms in Computer Games 2007: 19-37
25EEEnda Ridge, Edward Curry, Daniel Kudenko, Dimitar Kazakov: Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments. Multiagent and Grid Systems 3(1): 1-2 (2007)
2006
24EEZoë P. Lock, Daniel Kudenko: Interactions Between Stereotypes. AH 2006: 172-181
2005
23 Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso: Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning Springer 2005
22EEI-Hsien Ting, Chris Kimble, Daniel Kudenko: A Pattern Restore Method for Restoring Missing Patterns in Server Side Clickstream Data. APWeb 2005: 501-512
21EESpiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens: Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 106-118
20EESpiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 119-131
19EEMartin Carpenter, Daniel Kudenko: Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 55-72
18EEEnda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry: Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. SOAS 2005: 35-49
17EEI-Hsien Ting, Chris Kimble, Daniel Kudenko: UBB Mining: Finding Unexpected Browsing Behaviour in Clickstream Data to Improve a Web Site's Design. Web Intelligence 2005: 179-185
2004
16EESpiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems. AAMAS 2004: 1258-1259
15 Thomas Walker, Daniel Kudenko, Malcolm J. A. Strens: Algorithms for Distributed Exploration. ECAI 2004: 84-88
2003
14 Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov: Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning Springer 2003
13EEDaniel Kudenko, Mathias Bauer, Dietmar Dengler: Group Decision Making through Mediated Discussions. User Modeling 2003: 238-247
2002
12 Spiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems. AAAI/IAAI 2002: 326-331
11EESpiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens: Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2002: 18-32
2001
10EEDimitar Kazakov, Daniel Kudenko: Machine Learning and Inductive Logic Programming for Multi-agent Systems. EASSS 2001: 246-272
9EEEduardo Alonso, Daniel Kudenko: Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 13: 85-93 (2001)
2000
8EEEduardo Alonso, Daniel Kudenko: Machine Learning for Logic-Based Multi-agent Systems. FAABS 2000: 306-307
1999
7EEDaniel Kudenko, Haym Hirsh: Feature-Based Learners for Description Logics. Description Logics 1999
1998
6 Daniel Kudenko, Haym Hirsh: Feature Generation for Sequence Categorization. AAAI/IAAI 1998: 733-738
1997
5 Haym Hirsh, Daniel Kudenko: Representing Sequences in Description Logics. AAAI/IAAI 1997: 384-389
4 William W. Cohen, Daniel Kudenko: Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997: 583-590
1996
3 Daniel Kudenko, Haym Hirsh: Representing Sequences in Description Logics Using Suffix Trees. Description Logics 1996: 141-145
1994
2 Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich: An Empirical Analysis of Terminological Representation Systems. Artif. Intell. 68(2): 367-397 (1994)
1992
1 Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich: An Empirical Analysis of Terminological Representation Systems. AAAI 1992: 767-773

Coauthor Index

1Eduardo Alonso [8] [9] [14] [23]
2María Arinbjarnar [41] [47]
3Heather Barber [26] [36] [40]
4Mathias Bauer [13]
5Paul A. Cairns [48]
6Martin Carpenter [19]
7Lillian Clark [28]
8William W. Cohen [4]
9Edward Curry [18] [25]
10Dietmar Dengler [13]
11Matthew Grounds [33] [34] [37]
12Marek Grzes [42] [43] [45] [49]
13Zahia Guessoum [46]
14Jochen Heinsohn [1] [2]
15Haym Hirsh [3] [5] [6] [7]
16Rania A. HodHod [48]
17Spiros Kapetanakis [11] [12] [16] [20] [21]
18Dimitar Kazakov [10] [14] [18] [23] [25]
19Chris Kimble [17] [22] [28] [29]
20Zoë P. Lock [24]
21Bernhard Nebel [1] [2]
22Ann Nowé [46]
23Hans-Jürgen Profitlich [1] [2]
24Enda Ridge [18] [25] [27] [30] [31] [32] [38]
25Arturo Servin [35] [39] [44]
26Malcolm J. A. Strens [11] [15] [21]
27I-Hsien Ting [17] [22] [28] [29]
28Karl Tuyls [46]
29Thomas Walker [15]
30Peter Wright [28]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)