Gerhard Weiss
Professor of Artificial Intelligence and Computer Science
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Department of Advanced Computing Sciences Maastricht University, The Netherlands |
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Gerhard Weiss
Professor of Artificial Intelligence and Computer Science
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Publications Listed by DBLP Listed by Google Scholar Listed by Semantic Scholar Publications Sorted by Date Sorted by Type Sorted by Author Names Sorted by Topic
Publications Sorted by Author Names
S. Alers, D. Bloembergen, D. Hennes, S. de Jong, M. Kaisers, N. Lemmens,
K. Tuyls, and G. Weiss.
Bee-inspired foraging in an embodied swarm, Proceedings of the Tenth
International Conference on Autonomous Agents and Multi-Agent Systems
(Demo Track), 2011.
S. Alers, D. Claes, J. Fossel, D. Hennes, K. Tuyls and G. Weiss. How to win Robocup@work? The SwarmLab@work approach revealed. In S. Behnke, M. Veloso, A. Visser and R. Xiong (Eds.), RoboCup 2013: Robot World Cup XVII. Lecture Notes in Artificial Intelligence, Vol. 8371, pp. 147-158, Springer-Verlag. 2014.
S. Alers, D. Claes, K. Tuyls and G. Weiss. Biological inspired multi-robot foraging. Demonstration track of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 1683-1684), 2014.
S. Alers, B. Ranjbar-Sahraei, S. May, K. Tuyls and G. Weiss. An experimental
framework for exploiting vision in swarm robotics. Proceedings of the 5th
International Conference on Adaptive and Self-Adaptive Systems and Applications
(ADAPTIVE, pp. 83-88). 2013.
S. Alers, B. Ranjbar-Sahraei, S. May, K. Tuyls and G. Weiss. Evaluation of an experimental framework for vision in swarm robotics. Proceedings of the 12th European Conference on Artificial Life (ECAL, pp. 775-782), 2013.
S. Alers, K. Tuyls, B. Ranjbar-Sahraei, D. Claes and G. Weiss. Insect-inspired robot coordination: Foraging and coverage. 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE, pp. 761-769). 2014.
M. Allahgholi, H. Rahmani, D. Javdani, Z. Sadeghi-Adl, A. Bender, D. Modos, and G. Weiss. DDREL: From Drug-Drug relationships to drug repurposing. Intelligent Data Analysis, Vol. 26(19), pp. 221-237, 2022.
M. Allahgholi, H. Rahmani, D. Javdani, G. Weiss and D. Modos. ADDI: Recommending alternatives for drug-drug Interactions with negative health effects. Computers in Biology and Medicine, Vol. 125, Article 103969, 2020.
H.B. Ammar, S. Chen, K. Tuyls and G. Weiss. Automated transfer for reinforcement learning tasks. Künstliche Intelligenz, Vol. 28, Issue 1, 7-14, 2014.
H.B. Ammar, E. Eaton, M. E. Taylor, D. C. Mocanu, K. Driessens, G. Weiss and K. Tuyls. An automated measure of MDP similarity for transfer in reinforcement learning. 3rd Workshop on Machine Learning for Interactive Systems (MLIS): Bridging the Gap Between Perception, Action and Communication. 2014.
H.B. Ammar, D.C. Mocanu, M. Taylor, K. Driessens, G. Weiss and K. Tuyls. Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD, Lecture Notes in Computer Science Volume 8189, pp 449-464), 2013.
H.B. Ammar, M. Taylor, K. Tuyls and G. Weiss.
Reinforcement learning transfer
using a sparse coded inter-task mapping. 9th European Workshop on Multiagent
Systems (EUMAS). 2011. [Lecture Notes in Computer Science, Volume 7541, pp.
1-16]
H.B. Ammar, K. Tuyls, M. Taylor, K. Driessen and G. Weiss.
Reinforcement learning transfer via
sparse coding. Proceedings of the Eleventh
International Conference on Autonomous Agents and Multiagent Systems
(AAMAS, Volume 1, pages 383-390). 2012.
H.B. Ammar, M. Taylor, K. Tuyls and G. Weiss.
Common sub-space transfer
for reinforcement learning tasks. Proceedings of the 23rd Benelux
Conference on Artificial Intelligence (BNAIC). 2011.
D. Bloembergen, B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. Influencing social networks: An optimal control study. 21st European Conference on Artificial Intelligence (ECAI2014, pp. 105-110). 2014.
B. Boh, L. Lemmens, A. Jansen, C. Nederkoorn, V. Kerhofs, G. Spanakis, G. Weiss and A. Roefs. An ecological momentary intervention via smartphone and internet: Study protocol for a randomised controlled trial for weight loss and healthy eating. Trials - International Journal, Vol. 17:154, 2016. (Web version is available here.)
R. Bordini, E. Elkind, G. Weiss and P. Yolum (Eds.). Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2015.
F. Brandt, W. Brauer and G. Weiss. Task assignment in multiagent systems based
on Vickrey-type auctioning. In Proceedings of the Fourth International Workshop
on Cooperative Information Agents (CIA, pp. 95–106). Lecture Notes in Computer
Science,
Volume 1860. Springer-Verlag. 2000.
B. Buchberger et al. (Eds.)
Hagenberg research. Springer-Verlag. 2009.
L. Cao, A. Bazzan, V. Gorodetsky, P. Mitkas, G. Weiss and P.S. Yu
(Eds.)
Agents and Data Mining Interaction, Lecture Notes in Computer Science,
Volume 5980, Springer-Verlag, 2010.
L. Cao, A. Bazzan, A. Symeonidis, V. Gorodetsky, G. Weiss and P.S. Yu
(Eds.) Agents
and Data Mining Interaction, Lecture Notes in Computer Science, Volume 7103,
Springer-Verlag, 2012.
L. Cao, V. Gorodetsky, J. Liu, G. Weiss and P.S. Yu (Eds.).
Agents and data mining interaction. Lecture Notes in Computer Science,
Volume 5680. Springer-Verlag. 2009.
L. Cao, G. Weiss and P.S. Yu (Eds.). Special Issue on Agent Mining, International
Journal on Agents and Multiagent Systems, Vol. 25(3), 2012.
L. Cao, G. Weiss and P.S. Yu. A brief introduction to agent
mining. Journal of Autonomous Agents and Multi-Agent Systems, 25(3):419-424,
2012.
M. Chami, H.B. Ammar, H. Voos, K. Tuyls and G. Weiss.
An intelligent SysML-based conceptual design evaluation of mechatronic systems.
Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC,
pp. 51-58),
2012.
M. Chami, H.B. Ammar, H. Voos, K. Tuyls and G. Weiss.
Swarm-based evaluation of nonparametric SysML mechatronics system design.
IEEE International Conference on Mechatronics (ICM, pp. 436-441), 2013.
S. Chen, H.B. Ammar, K. Driessens, K. Tuyls and G. Weiss. Automatic transfer
between negotiation tasks. 13th International Workshop on Adaptive and Learning
Agents (ALA). 2013.
S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Transfer learning for bilateral multi-issue negotiation. Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC), 2012.
S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Optimizing complex automated
negotiation using sparse pseudo-input Gaussian processes. Proceedings of the
12th International Conference on Autonomous Agents and Multiagent Systems
(AAMAS, pp. 707-714), 2013.
S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Conditional restricted Boltzmann machines for negotiations in highly competitive and complex domains. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI, pp. 69-75). 2013.
S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Automated negotiation based on sparse pseudo-input Gaussian processes. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 307-308), 2013.
S. Chen, H.B. Ammar, K. Tuyls and G. Weiss. Transfer for automated negotiation. Künstliche Intelligenz, Vol. 28, Issue 1, 21-27, 2014.
S. Chen, Y. Cui, G. Weiss, C. Shang and J. Hao. ONECG: Online coalitional negotiation game platform. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.
S. Chen, J. Hao, G. Weiss, S. Zhou and Z. Zhang. Toward efficient agreements in real-time multilateral agent-based negotiations. Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI, pp. 896-903), 2015.
S. Chen, J. Hao, S. Zhou and G. Weiss. Negotiating with unknown opponents toward multi-lateral agreement in real-time domains. In K. Fujita et al. (Eds.), Modern Approaches to Agent-based Complex Automated Negotiation (pp. 219-229). Studies in Computational Intelligence, Vol. 674. Springer Verlag, 2017.
S. Chen, H. Jianye, G. Weiss, K. Tuyls and H. Leung. Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. 21st European Conference on Artificial Intelligence (ECAI, pp. 983-984). 2014.
S. Chen, H. Jianye, G. Weiss, K. Tuyls and H. Leung. Evaluating practical automated negotiation based on spatial evolutionary game theory. In C. Lutz and M. Thielscher (Eds.), Advances in artificial intelligence. Proceedings of the 37th German Conference on Artificial Intelligence (KI). Springer-Verlag (Lecture Notes in Artificial Intelligence, Volume 8736, pp. 147-158), 2014.
S. Chen and G. Weiss. An efficient and adaptive approach to negotiation in complex environments. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI, pp. 228-233). 2012.
S. Chen and G. Weiss. An efficient automated negotiation strategy for complex environments. Intern. Journal on Engineering Applications of Artificial Intelligence (EAAI), vol. 26, issue 10, pp. 2613-2623. 2013.
S.Chen and G.Weiss. OMAC: A discrete wavelet transformation based negotiation agent. In I. Marsa-Maestre, M.A. Lopez-Carmona, T. Ito, M. Zhang, Q. Bai & K. Fujita (Eds), Novel Insights in Agent-based Complex Automated Negotiation. Springer-Verlag (Studies in Computational Intelligence, Vol. 535, pp. 187-196). 2014.
S. Chen and G. Weiss. An intelligent agent for bilateral negotiation with unknown opponents in continuous-time domains. ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 9, Number 3, Article 16 (24 pages), 2014.
S. Chen and G. Weiss. An approach to complex agent-based negotiations via effectively modeling unknown opponents. Expert Systems with Applications, Volume 42, Issue 5, 2287-2304, 2015.
S. Chen and G. Weiss. Automated negotiation: An efficient approach to interaction among agents (Chapter 7, pp. 149-206). In J. Hao (Ed.), Interactions in Multiagent Systems. World Scientific, 2018.
S. Chen, G. Weiss and S. Zhou. Solving negotiation problems against unknown opponents with wisdom of crowds. KI 2016: Advances in Artificial Intelligence, Proceedings of the 39th German Conference on Artificial Intelligence (KI), Lecture Notes in Computer Science, Vol. 9904, pp. 126-133, 2016.
S. Chen, T. Yang, H. You, J. Zhao, J. Hao and G. Weiss. Transfer reinforcement learning based negotiating agent framework. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science Vol. 13936, pp. 386-397, 2023.
S. Chen, J. Zhao, G. Weiss, R. Su and K. Lei. An effective negotiation agent framework based on deep offline reinforcement learning, 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023.
S. Chen, S. Zhou, G. Weiss and K. Tuyls. Using transfer learning to model unknown opponents in automated negotiations. In N. Fukuta, T. Ito, M. Zhang, K. Fujita and V. Robu (Eds.), Recent advances in agent-based complex automated negotiation. Springer-Verlag (Studies in Computational Intelligence), pp. 175-192, 2016.
V. Delage, C. Brandlhuber, K.Tuyls and G. Weiss.
Multi-agent based
simulation of FOREX exchange market. Proceedings of the 23rd Benelux
Conference on Artificial Intelligence (BNAIC). 2011.
V. Delage, C. Brandlhuber, K.Tuyls and G. Weiss. Multi-agent based simulation of
FOREX exchange market. 9th European Workshop on Multiagent Systems (EUMAS). 2011
J. Efremova, B. Ranjbar-Sahraei, H. Rahmani, F.A. Oliehoek, T. Calders, K. Tuyls, and G. Weiss. Multi-source entity resolution for genealogical data. In G. Boothooft et. al. (Eds.) Population reconstruction. Springer-Verlag, pp. 129-154, 2015.
F. Fischer, M. Rovatsos and G. Weiss. Hierarchical reinforcement
learning in communication-mediated multiagent coordination. Proceedings
of the Third International Joint Conference on Autonomous Agents and
Multiagent Systems (AAMAS, pp. 1334–1335). 2004.
F. Fischer, M. Rovatsos and G. Weiss.
Adaptiveness in agent communication: application and adaptation of
conversation patterns. In F. Dignum, R.M. van Eijk and R. Flores
(Eds.), Agent communication II (pp. 211-226). Lecture Notes in Computer
Science, Volume 3859. Springer-Verlag. 2006.
T. Froehner, M. Nickles and G. Weiss. Open ontologies – The need for
modeling heterogeneous knowledge. Proceedings of the International
Conference on Information and Knowledge Engineering (IKE, pp. 91-97).
2004.
T. Froehner, M. Nickles and G. Weiss.
Towards modeling the social layer of
emergent knowledge using open ontologies. ECAI Workshop on Agent-Mediated
Knowledge Management (AMKM, pp. 10-19), 2004.
T. Froehner, M. Nickles, G. Weiss, W. Brauer and R. Franken.
Integration of ontologies and knowledge from
autonomous sources. Künstliche Intelligenz, Special Issue zu ”Knowledge
representation, reasoning and management“, Heft 1/05, 18–23, 2005.
M. Geipel and G. Weiss. A generic framework for
argumentation-based negotiation. In M. Klusch, K. Hindriks, M.P. Papazoglou
and L. Sterling (Eds.), Proceedings of the 11th International Workshop on
Cooperative Information Agents (CIA, pp. 209-224). Lecture Notes in Computer
Science, Volume 4676. Springer-Verlag. 2007.
E. Ghaleb, M. Popa, E. Hortal, S. Asteriadis and G. Weiss. Towards affect recognition through interactions with learning materials. IEEE International Conference on Machine Learning and Applications (ICMLA 2018), 2018.
F. Giunchiglia, J. Odell and G. Weiss (Eds.).
Agent-oriented software engineering III, Lecture Notes in Computer Science,
Volume 2585. Springer-Verlag. 2003.
P. Golshanrad, H. Rahmani, B. Karimian, F. Karimkhani and G. Weiss. MEGA: Predicting the best classifier combination using meta-learning and genetic algorithm. Intelligent Data Analysis, Volume 25(6), 2021.
J.J. Gomez, M.-P. Gervais and G. Weiss. A survey
of agent-oriented software engineering research. In F. Bergenti, M.-P.
Gleizes & F. Zambonelli (Eds.), Methodologies and software engineering for agent
systems (Chapter 3, pp. 33-62). Kluwer Academic Publishers. 2004.
C. Gonzalez-Morcillo, G. Weiss, D. Vallejo-Fernandez, L. Jimenez-Linares and J.
Albursac-Jimenez. 3D distributed rendering and
optimization using free software. European Journal for the Informatics
Professional, Vol. VIII, no. 6, 45-53, 2007.
C. Gonzales-Morcillo, G. Weiss, D. Vallejo, L. Jimenez-Linares and J.J.
Castro-Schez. A Multi-Agent Architecture for 3D Rendering Optimization. Journal
of Applied Artificial Intelligence 24:4, 313-349, 2010.
C. Gonzalez-Morcillo, G. Weiss, L. Jimenez and D. Vallejo.
A multiagent approach to distributed
rendering optimization. Proceedings of the 19th Annual Conference on
Innovative Applications of Artificial Intelligence (IAAI, pp.
1775-1780). 2007.
C. Gonzalez-Morcillo, G. Weiss, L. Jimenez, D. Vallejo and J. Albusac.
A multiagent system for physically based
rendering optimization. In M. Klusch, K. Hindriks, M.P. Papazoglou and L.
Sterling (Eds.), Proceedings of the 11th International Workshop on Cooperative
Information Agents (CIA, pp. 149-163). Lecture Notes in Computer Science, Volume
4676. Springer-Verlag. 2007.
A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. 27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology and the 18th European Conference on Computational Biology.(ISMB and ECCB), 2019.
A. Grigoriu, A. Zaveri, G. Weiss and M. Dumontier. SIENA: Semi-automatic semantic enhancement of datasets using concept recognition. Journal of Biomedical Semantics, 12, Article 5, 2021.
M. Huhns and G. Weiss (Eds.).
Special Issue on Multiagent Learning, Machine Learning Journal. Vol.
33(2-3). 1998.
S. Jablonski, S. Kirn, M. Plaha, E.J. Sinz, G. Weiss and A. Ulbrich-vom Ende
(Eds.). Verteilte Informationssysteme auf der Grundlage von Objekten,
Komponenten und Agenten, Proceedings der Verbundtagung VertIS 2001.
GI-Fachgruppenrundbriefe. 2001.
[click
here for cover page (70KB)]
R. Jakob and G. Weiss.
Agentenorientierte Softwareentwicklung. Methoden und Werkzeuge. Xpert.press
(Springer-Verlag). 2004.
H. Jianye, S. Chen, G. Weiss, H. Leung and K. Tuyls. Robustness analysis of negotiation strategies through multiagent learning in negotiation games. In J.P. Müller, M. Weyrich and A. Bazzan (Eds.), Multiagent system technologies. Proceedings of the 12th German Conference on Multiagent System Technologies (MATES). Springer-Verlag (Lecture Notes in Computer Science Volume 8732, pp 41-56), 2014.
M. Klusch, O. Shehory and G. Weiss (Eds.).
Cooperative information agents III. Lecture Notes in Artificial Intelligence,
Volume 1652. Springer-Verlag. (ISBN 3-540-66325-8). 1999. K. Klusch and G. Weiss (Eds.).
Cooperative information agents II. Lecture Notes in Artificial Intelligence,
Volume 1435. Springer-Verlag. (ISBN 3-540-64676-0). 1998.
V. Kolev, G. Weiss and G. Spanakis. FOREAL: RoBERTa Model for Fake News Detection Based on Emotions. 14th International Conference on Agents and Artificial Intelligence (ICAART), pp. 429-440, 2022.
T. Malsch and G. Weiss. Conflicts in social
theory and multiagent systems: on importing sociological insights into
distributed artificial intelligence (Chapter 4, pp. 111–149). In C. Tessier,
L. Chaudron & H.-J. Müller (Eds.), Conflicting agents. Conflict management in
multi-agent systems. Kluwer Academic Publishers. 2000.
D.C. Mocanu, H.B. Ammar, D. Lowet, K. Driessens, A. Liotta, G. Weiss, and K. Tuyls. Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognition Letters. 66, pp. 100-108, 2015. [Also published in Proceedings BNAIC 2015]
D. Mocanu, H.B. Ammar, M. Taylor, K. Driessens, G. Weiss and Karl Tuyls . Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 336-337), 2013.
R. Möckel, A. Ahangi, J. Hermans, G. Weiss, et. al. Self-organization among autonomous agents in complex seaports. Netherlands Platform Complex Systems Meeting, 2019.
G. Nalbantov, E. Smirnov, G. Weiss, K. Nienhaus, M.
Warcholik and F. Mavroudis. Image Mining
for Intelligent Autonomous Coal
Mining. 10th Industrial Conference on Data Mining, Poster and Industry
Proceedings, pp. 17-23, 2010.
M. Nickles, F. Fischer and G. Weiss. Communication attitudes: a formal approach
to ostensible intentions and individual and social opinions. In W. van der Hoek,
A. Lomuscio, E. de Vink and M. Wooldridge (Eds.), Proceedings of the 3rd
International Workshop on Logic and Communication in Multi-Agent Systems (LCMAS).
2005.
M. Nickles, F.
Fischer and G. Weiss. Communication attitudes: a
formal approach to ostensible intentions and individual and social opinions.
Electronic Notes in Theoretical Computer Science, Vol. 157(4), 95-115, 2006.
M. Nickles, T. Froehner, R. Cobos and G. Weiss.
Multi-source knowledge bases and
ontologies with multiple individual and social viewpoints.
Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI, pp.
62-66). 2005. M.
Nickles, M. Rovatsos, W. Brauer and G. Weiss.
Towards a unified model of sociality in
multiagent systems. International Journal of Computer and Information
Science, Vol. 5(2), 73–88. 2004.
M. Nickles, M. Rovatsos, W. Brauer and G. Weiss.
Communication systems: a unified model
of socially intelligent agents. In K. Fischer, M. Florian and T.
Malsch (Eds.), Socionics (pp. 289-313). Lecture Notes in Computer
Science, Volume 3413. Springer-Verlag. 2005.
M.
Nickles, M. Rovatsos, M. Schmitt, W. Brauer, F. Fischer, T. Malsch, K. Paetow
and G. Weiss. The empirical semantics
approach to communication structure learning and usage: individuals- versus
system-views. Journal of Artificial Societies and Social Simulation, Vol.
10(1). 2007.
M. Nickles, M. Rovatsos and G. Weiss. A schema for specifying computational
autonomy. Proceedings of the Third International Workshop on Engineering
Societies in the Agents World (ESAW, pp. 82–95). Lecture Notes in Computer
Science, Volume 2577. Springer-Verlag. 2003.
M. Nickles,
M. Rovatsos and G. Weiss (Eds.).
Agents and computational autonomy. Potential, Risks, and Solutions. Lecture
Notes in Computer Science, Volume 2969. Springer-Verlag. 2004. M. Nickles, M.
Rovatsos and G. Weiss. Expectation-oriented
modeling. International Journal on Engineering Applications of Artificial
Intelligence, Vol. 18(8), 891-918. 2005.
M. Nickles and G. Weiss. A framework for the social description of resources in
open environments. Proceedings of the 7th International Workshop on Cooperative
Information Agents (CIA, pp. 206-221). Lecture Notes in Computer Science, Volume
2782. Springer-Verlag. 2003.
M. Nickles and G. Weiss. Multiagent
systems without agents: Mirror-holons for the compilation and enactment
of communication structures. In K. Fischer, M. Florian and T. Malsch
(Eds.), Socionics (pp. 263-288). Lecture Notes in Computer Science,
Volume 3413. Springer-Verlag. 2005.
D. Rafailidis and G. Weiss. Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. https://arxiv.org/abs/1907.01645, 2019.
D. Rafailidis and G. Weiss. A Neural Attention Model for Self-Adaptive Learning of Social Friends' Preferences https://arxiv.org/abs/1907.01644, 2019.
H. Rahmani, D. Javdani and G. Weiss. SeMBlock: Semantic-aware Meta-Blocking approach. Intelligent Decision Technologies, vol. 15, no. 3, pp. 461-468, 2021.
H. Rahmani, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. Contextual entity resolution approach for genealogical data. Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML). Proceedings of the 16th LWA Workshops: KDML, IR, FGWM (pp. 168-179). 2014.
H. Rahmani, B. Ranjbar-Sahraei, G. Weiss, and K. Tuyls. Entity resolution in disjoint graphs: an application on genealogical data. International Journal on Intelligent Data Analysis. Volume 20(2), pp. 455-475, 2016.
H. Rahmani and G. Weiss. Node classification in graph data using augmented random walk. International Conference on Web Research (ICWR), 2015.
H. Rahmani, G. Weiss, O. Mendez-Lucio and A. Bender. ARWAR: a Network Approach for Predicting Adverse Drug Reactions. International Journal on Computers in Biology and Medicine, Computers in Biology and Medicine, Volume 68, pp. 101-108, 2016. See also here for Web version.
B. Ranjbar-Sahraei, S. Alers, K. Stankova, K. Tuyls and G. Weiss. Toward soft heterogeneity in swarm robots. 25th Benelux Conference on Artificial Intelligence (BNAIC, pp. 384-385), 2013.
B. Ranjbar-Sahraei, H.B. Ammar, D. Bloembergen, K. Tuyls and G. Weiss. Theory of cooperation in complex social networks. 28th AAAI Conference on Artificial Intelligence (AAAI, pp. 1471-1477). 2014.
B. Ranjbar-Sahraei, H.B. Ammar, D. Bloembergen, K. Tuyls and G. Weiss. Evolution of cooperation in arbitrary complex networks. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS, pp. 677-684), 2014.
B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the skewed degree distribution of hierarchical networks. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015.
B. Ranjbar-Sahraei, H.B. Ammar, K. Tuyls and G. Weiss. On the prevalence of hierarchies in social networks. Journal of Social Network Analysis and Mining, 6:58, 2016.
B. Ranjbar-Sahraei, D. Bloembergen, H.B. Ammar, K. Tuyls, and G. Weiss. Effects of evolution on the emergence of scale free networks. 14th International Conference on the Synthesis and Simulation of Living Systems (ALIFE, pp. 376-383). 2014.
B. Ranjbar-Sahraei, J. Efremova, H. Rahmani, T. Calders, K. Tuyls and G. Weiss. HiDER: Query-driven entity resolution for historical data. European Conference on Machine Learning and Practice of Knowledge Discovery in Databases (14th Joint ECML-PKDD). 2015.
B. Ranjbar-Sahraei, I.M. Groothuis, K. Tuyls and G. Weiss. Valuation of cooperation and defection in small world networks: A behavioral robotic approach. 26th Benelux Artificial Intelligence Conference (BNAIC, pp. 103-110), 2014.
B. Ranjbar-Sahraei, H. Rahmani, G. Weiss and K. Tuyls. Distant supervision of relation extraction in sparse data. Intelligent Data Analysis, Volume 23, pp. 1145-1166, 2019.
B. Ranjbar-Sahraei, K. Stankova, K. Tuyls and G. Weiss. Stackelberg-based coverage approach in nonconvex environments. Proceedings of the 12th European Conference on Artificial Life (ECAL, pp. 462-469), 2013.
B. Ranjbar-Sahraei, K. Tuyls, I. Caliskanelli, B. Broeker, D. Claes, S. Alers and G. Weiss. Bio-inspired multi-robot systems. In T.D. Ngo (Ed.), Biomimetic technologies. Principles and Applications. Woodhead Publishing Ltd. Chapter 13, pp. 273-299, 2015.
B. Ranjbar-Sahraei, G. Weiss and A. Nakisaee.
A multi-robot coverage approach based on stigmergic communication.
In I.J. Timm & C. Guttmann (Eds.), Multiagent System Technologies. 10th
German Conference, MATES (pp. 126-138). Lecture Notes in Computer
Science, Vol. 7598. 2012. [link to Springer source]
B. Ranjbar-Sahraei, G. Weiss and A. Nakisaee. An adaptive stigmergic coverage
approach for robot teams. Proceedings of the 24th Benelux Conference on
Artificial Intelligence (BNAIC), October 2012.
B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. A macroscopic model for multi-robot
stigmergic coverage (StiCo). Proceedings of the 12th International Conference on
Autonomous Agents and Multiagent Systems (AAMAS, pp. 1233-1234), 2013.
B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. StiCo in action
(Demo). Proceedings of the 12th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS, pp. 1403-1404), 2013.
M. Rovatsos, F. Fischer and G. Weiss.
Hierarchical reinforcement learning for
communicating agents. Proceedings of the 2nd European Workshop on Multiagent
Systems (EUMAS. pp. 593-604). 2004.
M. Rovatsos, F. Fischer and G. Weiss. An
integrated framework for adaptive reasoning about conversation patterns.
Proceedings of the Fourth International Joint Conference on Autonomous
Agents and Multiagent Systems (AAMAS, pp. 1123–1124). 2005. M. Rovatsos, M. Nickles and G. Weiss. An empirical model of communication in
multiagent systems. In F. Dignum (Ed.), Agent communication languages
(pp. 18–36). Lecture Notes in Computer Science, Volume 2922.
Springer-Verlag. 2004.
M. Rovatsos, M. Nickles and G. Weiss. Formulating agent communication
semantics and pragmatics as behavioral expectations. In F. Dignum, R.
van Eijk and M.-P. Huget (Eds.), Agent communication languages (pp.
167-188). Lecture Notes in Computer Science, Volume 3396.
Springer-Verlag. 2005.
M. Rovatsos, I. Rahwan, F. Fischer and G. Weiss.
Adaptive strategies for practical
M. Rovatsos, I. Rahwan, F. Fischer and G. Weiss.
Practical strategic reasoning and
adaptation in rational argument-based negotiation. In S. Parsons, N.
Maudet, P. Moraitis and I. Rahwan (Eds.) Argumentation in multiagent
systems (pp. 122-137). Lecture Notes in Computer Science, Volume 4049.
Springer-Verlag. 2006.
M. Rovatsos, M. Schillo, K. Fischer and G. Weiss.
Indicators for
self-diagnosis: Communication-based performance measures. Proceedings of
the First German Conference on Multiagent System Technologies (MATES,
pp. 25-37). Lecture Notes in Computer Science. Springer-Verlag. Lecture
Notes in Computer Science, Volume 2831. 2003.
M. Rovatsos and G. Weiss. Achieving multiagent organisation by organising agent
experience. Notes of 10th European Workshop on Modelling Autonomous Agents in a
Multi-Agent World (MAAMAW). 2001.
M. Rovatsos and G. Weiss. Autonomous software.
In S.K. Chang (Ed.), Handbook of Software Engineering and Knowledge Engineering,
Volume 3 (Recent Advances, pp. 63–84). World Scientific Pub. Co. 2005.
M. Rovatsos, G. Weiss and M. Wolf. Multiagent learning for open systems:
a study in opponent classification. In E. Alonso, D. Kudenko and D.
Kazakov (Eds.), Adaptive agents (pp. 66-87). Lecture Notes in Computer
Science, Volume 2636. Springer-Verlag, 2003.
F. Schmitt, S.M. Christopher, G. Weiss and R. Möckel. Evaluating the adoption of Physical Board Game Ludo as Serious Game for Assessing Cognitive Abilities of Players. International Joint Conference on Serious Games. Proceedings, Lecture Notes in Computer Science, Vol. 11243, pp. 30-42, 2018. 2018.
S. Sen and G. Weiss. Multiagent learning. In
G. Weiss (Ed.), Multiagent systems (Chapter 6, pp. 259–298). The MIT Press.1999.
K. Smirnov, G. Spanakis and G. Weiss. Early fake news detection on Twitter by analysing user characteristics in a tweet propagation path. 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), 2020.
B. Sorger, K. Tumanov, A. Benitez-Andonegui, M. Lührs, H. Boeijkens, G. Weiss, R. Goebel and R. Möckel. An fNIRS-based brain-machine interface for remote robot control. Third International Conference on Real-Time Functional Imaging and Neurofeedback (rtFIN2017), 2017.
G. Spanakis and G. Weiss. Adaptive Moving Self-Organizing Map for Clustering and Visualization. 8th International Conference on Agents and Artificial Intelligence (ICAART), pp. 129-140, 2016.
G. Spanakis and G. Weiss. Enhancing visual clustering using adaptive moving self-organizing maps (AMSOM). Volume 10162 of the series Lecture Notes in Computer Science. J. van den Herik and J. Filipe (Eds.). Agents and Artificial Intelligence. 8th International Conference, ICAART 2016, Revised selected papers, pp. 189-211. 2017.
G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs, L. Lemmens, A. Jansen, A. Roefs: Learning when you will eat unhealthy using decision trees for longitudinal data. Poster presentation at Healthy LifeStyle Solutions Conference (HLS), 2015.
G. Spanakis, G. Weiss, B. Boh, V. Kerkhofs and A. Roefs. Utilizing longitudinal data to build decision trees for profile building and predicting eating behavior. International Conference on Health and Social Care Information Systems and Technologies (HCist), Procedia Computer Science, Vol. 100, pp. 782-789, 2016.
G. Spanakis, G. Weiss, B. Boh and A. Roefs. Network analysis of ecological momentary assessment data for monitoring and understanding eating behavior. International Conference on Smart Health (ICSH). Springer-Verlag, Lecture Notes in Computer Science, Vol. 9545, pp. 43-54, 2015.
G. Spanakis, G. Weiss, B. Boh, L. Lemmens and A. Roefs. Machine learning techniques in eating behavior e-coaching. International Journal of Personal and Ubiquitous Computing, 21, 645-659, 2017.
G. Spanakis, G. Weiss and A. Roefs. Bagged boosted trees for classification of ecological momentary assessment data. Frontiers in Artificial Intelligence, Volume 285: ECAI2016 (22nd European Conference on Artificial Intelligence), pp. 1612-1613, 2016.
G. Spanakis, G. Weiss and A. Roefs. Enhancing classification of ecological momentary assessment data using bagging and boosting. Proceedings of the IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 388-395, 2016.
K. Stankova, B. Ranjbar-Sahraei, G. Weiss and K. Tuyls. StaCo: Stackelberg-based
coverage approach in heterogeneous robotic swarms. Proceedings of the 5th
International Conference on Adaptive and Self-Adaptive Systems and Applications
(ADAPTIVE, pp. 71-76). 2013.
K. Tumanov, R. Goebel, R. Möckel, B. Sorger and G. Weiss. fNIRS-based BCI for robot control. Demonstration paper. Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2015. Click here for a Video.
K. Tuyls and G. Weiss. Multiagent learning: Basics, Challenges, Prospects. AI
Magazine, 33(3):41-53, October 2012., 2012.
A. Vandor, M. van Vollenhoven, G. Weiss and G. Spanakis. Can we detect harmony in artistic compositions? A machine learning approach. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART), Vol. 2, pp. 187-195, 2021.
T. Vrancken, D. Tenbrock, S. Reick, D. Bozhinovski, G. Weiss and G. Spanakis. Multi-agent parking place simulation. 15th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS). 2017.
T. Weidler, J. Lehnen, Q. Denman, D. Sebok, G. Weiss, K. Driessens and M. Senden. Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. Computing Research Repository (CoRR), 2021. arXiv:2105.09830.
G. Weiss. Learning to coordinate actions in multi-agent systems. In
Proceedings of the 13th International Joint Conference on Artificial
Intelligence (IJCAI, Vol. 1, pp. 311–316). Morgan Kaufmann Publ. 1993. G.
Weiss. Lernen und Aktionskoordinierung in Mehragentensystemen. In J.
Müller (Ed.), Verteilte Künstliche Intelligenz – Methoden und
Anwendungen (pp. 122–132). BI Verlag. 1993.
G. Weiss. Hierarchical chunking in classifier systems. In Proceedings of
the 12th National Conference on Artificial Intelligence (AAAI, Vol. 2,
pp. 1335–1340). AAAI Press/MIT Press. 1994. G. Weiss.
Distributed reinforcement learning. Robotics
and Autonomous Systems, 15, 135–142. 1995.
G. Weiss. Distributed machine learning. Sankt Augustin: Infix Verlag. (ISBN
3-929037-75-0). 1995.
G. Weiss.
An action-oriented perspective of learning in
classifier systems. Journal of Experimental and Theoretical Artificial
Intelligence, 8(1), 43–62. 1996. G. Weiss. Several contributions to
Wörterbuch der Kognitionswissenschaft (ed. by G. Strube et al.), Klett-Cotta.
1996.
G. Weiss. The job assignment problem: A study in parallel and distributed
machine learning. In C. Freksa, M. Jantzen and R. Valk (Eds.),
Foundations of Computer Science. Potential – Theory – Cognition (pp.
445–454). Lecture Notes in Computer Science, Volume 1337.
Springer-Verlag. 1997.
G. Weiss. Towards the synthesis of neural and
evolutionary learning. In O. Omidvar & C. Wilson (Eds.), Progress in neural
networks (Volume V, Chapter 6, pp. 145–176). Norwood, New Jersey: Ablex Publ.
Corp. 1997. G. Weiss (Ed.).
Distributed artificial intelligence meets machine learning. Lecture Notes in
Artificial Intelligence, Volume 1221. Springer-Verlag. (ISBN 3-540-62934-3).
1997.
G. Weiss. A multiagent perspective of parallel and distributed machine
learning. In Proceedings of the Second International Conference on
Autonomous Agents (Agents, pp. 226–230). ACM Press. 1998.
G. Weiss. Learning to coordinate actions in multi-agent systems. In M.N.
Huhns and M.P. Singh
(Eds.), Readings in agents
(pp. 481–486). Morgan Kaufmann Publ. 1998.
G. Weiss (Ed.).
Special Issue on Learning in Distributed Artificial Intelligence Systems,
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 10(3).
1998.
G. Weiss (Ed.).
Multiagent systems. A modern approach to distributed artificial intelligence.
MIT Press. (ISBN 0-262-23203-0). 1999.
G. Weiss. Achieving coordination through combining joint planning and
joint learning. In Proceedings of the 14th European Conference on
Artificial Intelligence (ECAI, pp. 388–392). IOS Press. 2000. G.
Weiss. Agent Orientation in Software
Engineering. Knowledge Engineering Review, Vol. 16(4), 349–373. 2001. G. Weiss.
Agentenorientiertes Software
Engineering. Informatik Spektrum, Band 24, Heft 2, 98–101. 2001.
G. Weiss. Agentenorientierte Softwareentwicklung.
In H. Schulte (Ed.), Lexikon Informationstechnik und Telekommunikation. Interest
Verlag. 2007.
G. Weiss. Agent orientation in computer science.
Exploring the agent-oriented perspective on computer-based systems.
Habilitation Thesis. Johannes-Kepler University Linz, Faculty of Technical and Natural Sciences.
2009.
G. Weiss (Ed.). Multiagent Systems. 2nd edition. MIT
Press. 2013. (See also
http://www.the-mas-book.info for supplementary material.)
G. Weiss. KI ist kein Wundermittel - hilft aber. Frankfurter Allgemeine Zeitung, 16.12.2019, Nr. 292, p. 16. [''AI is not a panacea - but it helps'', non-scientific, invited, German national newspaper]
G. Weiss. Europa muss die KI-Experten halten. Frankfurter Allgemeine Zeitung, 21.10.2019, Nr. 244, p. 16. [''Europe needs to keep its AI experts'', non-scientific, invited, German national newspaper]
G. Weiss. KI als Schulfach. Süddeutsche Zeitung (SZ), Samstagsessay, 23.8.2019. [''AI as a school subject'', non-scientific, invited, German national newspaper]
G. Weiss, L. Braubach
and P. Giorgini. Intelligent agents. In H. Bidgoli (Ed.), The Handbook of
Technology Management (Volume 3, pp. 360-372). John Wiley & Sons, Inc. 2010.
G. Weiss and P. Dillenbourg. What is ‘multi’ in
multiagent learning? In P. Dillenbourg (Ed.), Collaborative learning.
Cognitive and computational approaches (Chapter 4, pp. 64–80). Pergamon Press.
1999. G.
Weiss, J. Duscher, M. Nickles and M. Rovatsos.
Spezifikation von Softwareautonomie. Künstliche Intelligenz, Heft 4/04,
44–50. 2004.
G. Weiss, F. Fischer, M. Nickles and M. Rovatsos.
Operational modeling of agent autonomy: theoretical aspects and a formal
language. In J.P. Müuller and F. Zambonelli (Eds.), Proceedings of the 6th
International Workshop on Agent-oriented Software Engineering (pp. 1-15).
Lecture Notes in Computer Science, Volume 3950. Springer-Verlag. 2006. G.
Weiss, M. Nickles, M. Rovatsos and F. Fischer.
Specifying the intertwining of coordination and
autonomy in agent-based systems. International Journal of Network and
Computer Applications, Vol. 30(3), 1196-1215, 2007.
G. Weiss, G. Pomberger, W. Beer, et al. Software engineering – processes and tools. In B.
Buchberger et al. (Eds.), Hagenberg Research (Chapter IV, pp. 157–235),
Springer-Verlag. 2009.
G. Weiss and S. Sen (Eds.).
Adaptation and learning in multi-agent systems. Lecture Notes in Artificial Intelligence,
Volume 1042. Springer-Verlag. (ISBN 3-540-60923-7). 1996. G. Weiss, W. van der Hoek
and M. Wooldridge (Eds.). Proceedings of the First European Agent Systems Summer School
(EASSS'99). University of Utrecht, The Netherlands. 1999.
[cover page (110KB)]
G. Weiss and M. Wooldridge (Eds.),
Special Issue on Agent-Oriented Software Development. International Journal on
Engineering Applications of Artificial Intelligence. Vol. 18, Issue 2, 2005.
C. Wittlinger, G. Spanakis and G. Weiss. Flexible deep neural network structure with application to natural language processing. Proceedings of the 27th Benelux Conference on Artificial Intelligence (BNAIC), 2015.
M. Wooldridge, G. Weiss and P. Ciancarini (Eds.).
Agent-oriented software engineering II, Lecture Notes in Computer Science,
Volume 2222. State-of-the-Art Survey. Springer-Verlag. 2002.
S. Zhou, S. Chen, E. Smirnov, G. Weiss and K. Tuyls. Automatic knowledge transfer for agent-based bilateral negotiation tasks. Seventh International Workshop on Agent-based Complex Automated Negotiations (ACAN). 2014.
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