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Ingo J. Timm
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- affiliation: University of Trier
- affiliation: German Research Center for Artificial Intelligence (DFKI), Trier, Germany
- affiliation (former): Goethe University Frankfurt am Main, Germany
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2020 – today
- 2024
- [c82]Annika Selzer, Ingo J. Timm:
Neue Technologien: Chancen nutzen, Risiken vermeiden. INFORMATIK 2024: 41 - [c81]Veronika Kurchyna, Lilian Kojan, Jan Schneider, Bernd Wurpts, Anastasia Golovin, André Calero Valdez, Jan Ole Berndt, Ingo J. Timm:
Learned Futility: How Social Learning Can Lead to the Diffusion of Ineffective Strategies. HCI (22) 2024: 120-139 - [c80]Veronika Kurchyna, Stephanie C. Rodermund, Ye Eun Bae, Patrick Mertes, Philipp Flügger, Jan Ole Berndt, Ingo J. Timm:
Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure. ICAART (3) 2024: 315-325 - [c79]Stephanie C. Rodermund, Annegret Janzso, Ye Eun Bae, Anna Kravets, Alexander Schewerda, Jan Ole Berndt, Ingo J. Timm:
Driving Towards a Sustainable Future: A Multi-Layered Agent-Based Digital Twin Approach for Rural Areas. ICAART (1) 2024: 386-395 - 2023
- [j22]Annika Selzer, Ingo J. Timm:
Ein Vorschlag für die datenschutzkonforme Gestaltung von Datenschutz-Grundsätzen und -Schutzmaßnahmen in IT-Systemen - Angemessene technische und organisatorische Schutzmaßnahmen nach Art. 32 DSGVO. HMD Prax. Wirtsch. 60(4): 923-939 (2023) - [j21]Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers:
A framework for AI-based self-adaptive cyber-physical process systems. it Inf. Technol. 65(3): 113-128 (2023) - [c78]Annika Selzer, Ingo J. Timm:
Digitalisierung: Chancen nutzen, Risiken vermeiden. GI-Jahrestagung 2023: 467 - [c77]Annika Selzer, Ingo J. Timm:
Post Pandemic Follow-Up. GI-Jahrestagung 2023: 469-475 - [c76]Veronika Kurchyna, Jan Ole Berndt, Ingo J. Timm:
Can (and Should) Automated Surrogate Modelling Be Used for Simulation Assistance? MABS 2023: 3-15 - [i2]Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven, David Junk, Gunes Karabulut-Kurt, Stefan Naumann, Stephan Didas, Klaus-Uwe Gollmer, Ralph Bergmann, Ingo J. Timm, Guido Dartmann:
Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. CoRR abs/2309.11526 (2023) - 2022
- [c75]Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner:
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS 2022 - [c74]Lukas Tapp, Veronika Kurchyna, Falco Nogatz, Jan Ole Berndt, Ingo J. Timm:
School's Out? Simulating Schooling Strategies During COVID-19. AAMAS Workshops 2022: 48-59 - [c73]Annika Selzer, Ingo J. Timm:
3. Interdisciplinary Privacy & Security at Large Workshop. GI-Jahrestagung 2022: 159 - [c72]Veronika Kurchyna, Stephanie C. Rodermund, Jan Ole Berndt, Heike Spaderna, Ingo J. Timm:
Health and Habit: An Agent-based Approach. KI 2022: 131-145 - [c71]Lukas Tapp, Veronika Kurchyna, Falco Nogatz, Jan Ole Berndt, Ingo J. Timm:
School's Out? Simulating Schooling Strategies During COVID-19. MABS 2022: 95-106 - [c70]Alexander Schewerda, Veronika Kurchyna, Jan Ole Berndt, Ingo J. Timm:
From Research to Crisis Management: Multiagent Simulation for Local Governments. PAAMS 2022: 507-513 - [e6]Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm:
KI 2022: Advances in Artificial Intelligence - 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings. Lecture Notes in Computer Science 13404, Springer 2022, ISBN 978-3-031-15790-5 [contents] - 2021
- [j20]Annika Selzer, Ingo J. Timm:
Potenziale anonymer Datenverarbeitungen nutzen. Datenschutz und Datensicherheit 45(12): 816-820 (2021) - [j19]Annika Selzer, Ingo J. Timm:
Gestaltung eines Treuhand-Systems zum anonymen Datenaustausch in einer Smart-City-Umgebung. Datenschutz und Datensicherheit 45(12): 826-830 (2021) - [c69]Hermann Baumgartl, Dennis Flathau, Samuel Bayerlein, Daniel Sauter, Ingo J. Timm, Ricardo Buettner:
Pain Level Assessment for Infants Using Facial Expression Scores. COMPSAC 2021: 590-598 - 2020
- [j18]Oliver Thomas, Simon Hagen, Ulrich Frank, Jan Recker, Lauri Wessel, Friedemann Kammler, Novica Zarvic, Ingo J. Timm:
Global Crises and the Role of BISE. Bus. Inf. Syst. Eng. 62(4): 385-396 (2020) - [j17]Matthias Klusch, Frithjof Nagel, Ingo J. Timm:
Künstliche-Intelligenz-Forschung - Zehn Innovationen aus Deutschland. LOG IN 40(1): 22-26 (2020) - [c68]Ingo J. Timm, Lukas Reuter, Jan Ole Berndt:
Role Assignment Adaptation: An Intentional Forgetting Approach. HICSS 2020: 1-10 - [c67]Fabian Lorig, Colja A. Becker, Daniel S. Lebherz, Stephanie C. Rodermund, Ingo J. Timm:
Simulation-based Business Process Evaluation in Home Health Care Logistics Management. ICT4AWE 2020: 226-235 - [c66]Lukas Reuter, Jan Ole Berndt, Ingo J. Timm:
Exploring the Effects of Role Design on Agent Learning. KI 2020: 190-203 - [c65]Stephanie C. Rodermund, Ingo J. Timm, Ricardo Buettner:
Towards Simulation-Based Preplanning for Experimental Analysis of Nudging. Wirtschaftsinformatik (Zentrale Tracks) 2020: 1219-1233
2010 – 2019
- 2019
- [j16]Christoph Beierle, Ingo J. Timm:
Intentional Forgetting: An Emerging Field in AI and Beyond. Künstliche Intell. 33(1): 5-8 (2019) - [j15]Lukas Reuter, Jan Ole Berndt, Anna-Sophie Ulfert, Conny H. Antoni, Thomas Ellwart, Ingo J. Timm:
Intentional Forgetting in Distributed Artificial Intelligence. Künstliche Intell. 33(1): 69-77 (2019) - [j14]Christoph Beierle, Jan Ole Berndt, Norbert Gronau, Ingo J. Timm:
Intentional Forgetting: A Huge Potential for Organizations - Interview with Prof. Norbert Gronau, University of Potsdam. Künstliche Intell. 33(1): 85-87 (2019) - [j13]Ingo J. Timm, Otthein Herzog, Jan Ole Berndt, Christoph Beierle:
Intentional Forgetting Must be Part of the Functionality - Interview with Prof. Otthein Herzog, Jacobs University Bremen, University of Bremen, and Tongij University, Shanghai. Künstliche Intell. 33(1): 89-91 (2019) - [c64]Ricardo Buettner, Michael Hirschmiller, Kevin Schlosser, Manfred Rössle, Marc Fernandes, Ingo J. Timm:
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data. HealthCom 2019: 1-6 - [c63]Ingo J. Timm, Lukas Reuter, Jan Ole Berndt, Anna-Sophie Ulfert, Thomas Ellwart, Conny H. Antoni:
Analyzing the Effects of Role Configuration in Logistics Processes using Multiagent-Based Simulation: An Interdisciplinary Approach. HICSS 2019: 1-10 - [c62]Ingo J. Timm, Bernhard Hess, Fabian Lorig:
Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings. ISCRAM 2019 - [c61]Stephanie C. Rodermund, Fabian Lorig, Ingo J. Timm:
Ethical Challenges in Modeling and Simulation of Nudging in Care. EMoWI@Wirtschaftsinformatik 2019: 35-41 - [c60]Fabian Lorig, Ingo J. Timm, Peter Mertens:
Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research. Wirtschaftsinformatik 2019: 2015-2019 - [e5]Fabian Lorig, Ingo J. Timm, Peter Mertens:
Proceedings of the First Workshop on Systemic Risks in Global Networks co-located with 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Siegen, Germany, February 24th, 2019. CEUR Workshop Proceedings 2397, CEUR-WS.org 2019 [contents] - 2018
- [c59]Colja A. Becker, Fabian Lorig, Ingo J. Timm:
Multiagent Systems to Support Planning and Scheduling in Home Health Care Management: A Literature Review. AIH@IJCAI (Revised Selected Papers) 2018: 13-28 - [c58]Colja A. Becker, Fabian Lorig, Ingo J. Timm:
Survey of multiagent systems for improving home health care management. AIH@IJCAI 2018: 169-180 - [c57]Daniel S. Lebherz, Christian Zeyen, Jan Hess, Ralph Bergmann, Ingo J. Timm, Thomas Burch, Vera Hildenbrandt, Claudine Moulin:
Towards Scientific Workflows and Computer Simulation as a Method in Digital Humanities. INF-DH 2018 - [c56]Ingo J. Timm, Lukas Reuter:
The Role of Knowledge in Intelligent Agents. DKB/KIK@KI 2018: 55-67 - [c55]Ingo J. Timm, Steffen Staab, Michael Siebers, Claudia Schon, Ute Schmid, Kai Sauerwald, Lukas Reuter, Marco Ragni, Claudia Niederée, Heiko Maus, Gabriele Kern-Isberner, Christian Jilek, Paulina Friemann, Thomas Eiter, Andreas Dengel, Hannah Dames, Tanja Bock, Jan Ole Berndt, Christoph Beierle:
Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges. KI 2018: 357-365 - [c54]Jan Ole Berndt, Stephanie C. Rodermund, Ingo J. Timm:
Social Contagion of Fertility: an Agent-based simulation Study. WSC 2018: 953-964 - [c53]Daniel S. Lebherz, Fabian Lorig, Ingo J. Timm:
Agent-based Modeling and simulation of Individual Elderly Care Decision-Making. WSC 2018: 1025-1036 - 2017
- [c52]Lukas Reuter, Jan Ole Berndt, Ingo J. Timm:
Towards Simulation-Based Role Optimization in Organizations. KI 2017: 359-365 - [c51]Stephanie C. Rodermund, Fabian Lorig, Jan Ole Berndt, Ingo J. Timm:
An Agent Architecture for Simulating Communication Dynamics in Social Media. MATES 2017: 19-37 - [c50]Fabian Lorig, Colja A. Becker, Ingo J. Timm:
Formal specification of hypotheses for assisting computer simulation studies. SpringSim (TMS) 2017: 18:1-18:12 - [c49]Ingo J. Timm, Jan Ole Berndt, Lukas Reuter, Thomas Ellwart, Conny H. Antoni, Anna-Sophie Ulfert:
Towards Multiagent-Based Simulation of Knowledge Management in Teams. WM 2017: 25-40 - [c48]Fabian Lorig, Daniel S. Lebherz, Jan Ole Berndt, Ingo J. Timm:
Hypothesis-driven experiment design in computer simulation studies. WSC 2017: 1360-1371 - [c47]Lukas Reuter, Jan Ole Berndt, Ingo J. Timm:
Challenges of simulating teamwork in organizational scenarios. WSC 2017: 4542-4543 - [c46]Daniel S. Lebherz, Fabian Lorig, Ingo J. Timm:
Towards agent-based social simulation as a method in literary studies: Analyzing creative processes based on egodocuments. WSC 2017: 4562-4563 - [c45]Jan Ole Berndt, Ingo J. Timm, Joscha Krause, Ralf T. Münnich:
Toward hybrid simulations for care demand forecasting. WSC 2017: 4594-4595 - 2016
- [j12]Fabian Lorig, Lukas Reuter, Jan-Felix Zolitschka, Ingo J. Timm, Christoph Emmerling, Thomas Udelhoven:
An Agent-based Approach for Simulating Transformation Processes of Socio-ecological Systems as Serious Game. IxD&A 31: 98-114 (2016) - 2015
- [j11]Jörg Dallmeyer, René Schumann, Andreas D. Lattner, Ingo J. Timm:
Don't Go With the Ant Flow: Ant-Inspired Traffic Routing in Urban Environments. J. Intell. Transp. Syst. 19(1): 78-88 (2015) - [c44]Fabian Lorig, Nils Dammenhayn, David-Johannes Müller, Ingo J. Timm:
Measuring and Comparing Scalability of Agent-Based Simulation Frameworks. MATES 2015: 42-60 - [c43]Christian Hennen, Axel Kalenborn, Sascha Stadlbauer, Ingo J. Timm:
Systematisierung der Auswahl von Vorgehensmodellen durch Kennzahlen. PVM 2015: 55-65 - [c42]Ingo J. Timm, Fabian Lorig:
A survey on methodological aspects of computer simulation as research technique. WSC 2015: 2704-2715 - [c41]Ingo J. Timm, Fabian Lorig:
Logistics 4.0: a challenge for simulation. WSC 2015: 3118-3119 - 2014
- [c40]Fabian Lorig, Matthias Gräf, Steffen Walter, Ingo J. Timm:
Evaluating Strategies for Penny Auctions Using Multi-Agent Systems. MATES 2014: 26-40 - [c39]Fabian Lorig, Ingo J. Timm:
How to model the "human factor" for agent-based simulation in social media analysis?: work in progress paper. SpringSim (ADS) 2014: 12 - 2013
- [c38]Tjorben Bogon, Fabian Lorig, Ingo J. Timm:
Visualizing the Impact of Probability Distributions on Particle Swarm Optimization. ICSI (1) 2013: 120-128 - [e4]Ingo J. Timm, Matthias Thimm:
KI 2013: Advances in Artificial Intelligence - 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings. Lecture Notes in Computer Science 8077, Springer 2013, ISBN 978-3-642-40941-7 [contents] - 2012
- [c37]René Schumann, Zijad Kurtanovic, Ingo J. Timm:
Specification of Trade-Off Strategies for Agents: A Model-Driven Approach. AOSE 2012: 40-55 - [c36]Andreas D. Lattner, Jörg Dallmeyer, Dimitrios C. Paraskevopoulos, Ingo J. Timm:
Approximation Of Pedestrian Effects In Urban Traffic Simulation By Distribution Fitting. ECMS 2012: 567-573 - [c35]Jörg Dallmeyer, Carsten Taubert, Andreas D. Lattner, Ingo J. Timm:
Fuel Consumption And Emission Modeling For Urban Scenarios. ECMS 2012: 574-580 - [c34]Tjorben Bogon, Meike Endres, Ingo J. Timm:
Gaining a Better Quality Depending on More Exploration in PSO. MATES 2012: 30-39 - [c33]Jörg Dallmeyer, Andreas D. Lattner, Ingo J. Timm:
Selfish Road Users - Case Studies on Rule Breaking Agents for Traffic Simulation. MATES 2012: 83-95 - [c32]Tjorben Bogon, Ingo J. Timm, Ulrich Jessen, Markus Schmitz, Sigrid Wenzel, Andreas D. Lattner, Dimitris C. Paraskevopoulos, Sven Spieckermann:
Towards assisted input and output data analysis in manufacturing simulation: the EDASim approach. WSC 2012: 257:1-257:13 - [e3]Ingo J. Timm, Christian Guttmann:
Multiagent System Technologies - 10th German Conference, MATES 2012, Trier, Germany, October 10-12, 2012. Proceedings. Lecture Notes in Computer Science 7598, Springer 2012, ISBN 978-3-642-33689-8 [contents] - 2011
- [j10]Andreas D. Lattner, Holger Pitsch, Ingo J. Timm, Sven Spieckermann, Sigrid Wenzel:
AssistSim - Towards Automation of Simulation Studies in Logistics. Simul. Notes Eur. 21(3-4): 119-128 (2011) - [c31]Tjorben Bogon, Georgios Poursanidis, Andreas D. Lattner, Ingo J. Timm:
Extraction of Function Features for an Automatic Configuration of Particle Swarm Optimization. ICAART (1) 2011: 51-60 - [c30]Tjorben Bogon, Georgios Poursanidis, Andreas D. Lattner, Ingo J. Timm:
Setting Up Particle Swarm Optimization by Decision Tree Learning Out of Function Features. ICAART (Revised Selected Papers) 2011: 72-85 - [c29]Andreas D. Lattner, Tjorben Bogon, Ingo J. Timm:
An Approach to Significance Estimation for Simulation Studies. ICAART (1) 2011: 177-186 - [c28]Andreas D. Lattner, Tjorben Bogon, Ingo J. Timm:
Convergence Classification and Replication Prediction for Simulation Studies. ICAART (Revised Selected Papers) 2011: 255-268 - [c27]Dirk Pauli, Jens Feller, Bernhard Mauersberg, Ingo J. Timm:
Forecast Error Reduction by Preprocessed High-performance Structural Break Detection. ICINCO (1) 2011: 262-271 - [c26]Andreas D. Lattner, Jörg Dallmeyer, Ingo J. Timm:
Learning Dynamic Adaptation Strategies in Agent-Based Traffic Simulation Experiments. MATES 2011: 77-88 - [c25]Jörg Dallmeyer, Andreas D. Lattner, Ingo J. Timm:
From GIS to mixed traffic simulation in urban scenarios. SimuTools 2011: 134-143 - 2010
- [j9]Andreas D. Lattner, Ingo J. Timm:
Themenschwerpunkt "Logistik". Künstliche Intell. 24(2): 97 (2010) - [j8]Ingo J. Timm, Andreas D. Lattner:
Künstliche Intelligenz in der Logistik. Künstliche Intell. 24(2): 99-103 (2010) - [j7]Andreas D. Lattner, Ingo J. Timm:
Interview with Paul Davidsson. Künstliche Intell. 24(2): 159-160 (2010) - [c24]Tjorben Bogon, Georgios Poursanidis, Andreas D. Lattner, Ingo J. Timm:
Automatic Parameter Configuration of Particle Swarm Optimization by Classification of Function Features. ANTS Conference 2010: 554-555 - [c23]Jörg P. Müller, Lars Braubach, Birgit Burmeister, Alexander Pokahr, Ingo J. Timm:
Vorwort. MKWI 2010: 767-768 - [c22]Tjorben Bogon, Andreas D. Lattner, Yann Lorion, Ingo J. Timm:
An Agent-based Approach for Dynamic Combination and Adaptation of Metaheuristics. MKWI 2010: 2345-2358 - [c21]Jörg Dallmeyer, Tjorben Bogon, Yann Lorion, Ingo J. Timm:
Migration simulation on potential field based landscapes. SimuTools 2010: 73 - [c20]Andreas D. Lattner, Tjorben Bogon, Yann Lorion, Ingo J. Timm:
A knowledge-based approach to automated simulation model adaptation. SpringSim 2010: 153
2000 – 2009
- 2009
- [j6]Klaus Fischer, Ingo J. Timm, Elisabeth André:
Introduction to the special issue on the Fourth German Conference on Multiagent System Technologies (MATES). Auton. Agents Multi Agent Syst. 18(2): 219 (2009) - [j5]Christoph Niemann, Stefan König, René Schumann, Ingo J. Timm, Torsten Eymann:
Umfrage zur GI-Fachgruppe Verteilte KI. Künstliche Intell. 23(1): 69 (2009) - [c19]Jürgen Sauer, René Schumann, Ingo J. Timm, Sigrid Wenzel:
Planung und Simulation in logistischen Anwendungen. GI Jahrestagung 2009: 462-464 - [c18]Jan-Marc Ehrmann, Andreas D. Lattner, Gabriela Lindemann, Ingo J. Timm:
Integration of an Emotion Model to the Board Game "Intrige". ICAART 2009: 547-552 - [c17]Pascal Katzenbach, Yann Lorion, Tjorben Bogon, Ingo J. Timm:
A Decentralized Architecture for Distributed Neighborhood Based Search. IWSOS 2009: 193-200 - [c16]Florian Messerschmidt, Andreas D. Lattner, Ingo J. Timm:
Customer Assistance Services for Simulated Shopping Scenarios. KES-AMSTA 2009: 173-182 - [c15]Ingo J. Timm, René Schumann:
Performance measurement of multiagent systems: towards dependable MAS. SpringSim 2009 - [c14]Yann Lorion, Tjorben Bogon, Ingo J. Timm, Oswald Drobnik:
An Agent Based Parallel Particle Swarm Optimization - APPSO. SIS 2009: 52-59 - [i1]Ingo J. Timm, Andreas D. Lattner, René Schumann:
Reflection and Norms: Towards a Model for Dynamic Adaptation for MAS. Normative Multi-Agent Systems 2009 - 2008
- [c13]Ingo J. Timm, Tjorben Bogon, Andreas D. Lattner, René Schumann:
Teaching Distributed Artificial Intelligence with RoboRally. MATES 2008: 171-182 - [c12]René Schumann, Andreas D. Lattner, Ingo J. Timm:
Regulated Autonomy: A Case Study. Intelligente Systeme zur Entscheidungsunterstützung 2008: 83-98 - [c11]Ingo J. Timm, Thorsten Scholz:
Towards Reliable SOA - An Architecture for Quality Management of Web Services. OTM Workshops 2008: 170-179 - 2007
- [c10]Hagen Langer, Jörn Schönberger, Herbert Kopfer, Ingo J. Timm:
Integration zentraler Prozess-Optimierung und lokaler agentenbasierter Prozess-Anpassung für das Management von Transportprozessen in dynamischen Umgebungen. GI Jahrestagung (1) 2007: 429-436 - 2006
- [j4]Ingo J. Timm, Thorsten Scholz, Otthein Herzog:
Capability-based emerging organization of autonomous agents for flexible production control. Adv. Eng. Informatics 20(3): 247-259 (2006) - [j3]Hagen Langer, Jan D. Gehrke, Joachim Hammer, Martin Lorenz, Ingo J. Timm, Otthein Herzog:
A Framework for distributed knowledge management in autonomous logistic processes. Int. J. Knowl. Based Intell. Eng. Syst. 10(4): 277-290 (2006) - [c9]Dirk Pawlaszczyk, Ingo J. Timm:
A Hybrid Time Management Approach to Agent-Based Simulation. KI 2006: 374-388 - [p6]Ingo J. Timm, Thorsten Scholz, Otthein Herzog, Karl-Heinz Krempels, Otto Spaniol:
From Agents to Multiagent Systems. Multiagent Engineering 2006: 35-51 - [p5]Leif-Erik Lorenzen, Peer-Oliver Woelk, Berend Denkena, Thorsten Scholz, Ingo J. Timm, Otthein Herzog:
Integrated Process Planning and Production Control. Multiagent Engineering 2006: 91-113 - [p4]Ingo J. Timm, Thorsten Scholz, Holger Knublauch:
The Engineering Process. Multiagent Engineering 2006: 341-358 - [p3]Karl-Heinz Krempels, Otto Spaniol, Thorsten Scholz, Ingo J. Timm, Otthein Herzog:
Interaction Design. Multiagent Engineering 2006: 383-403 - [p2]Thorsten Scholz, Ingo J. Timm, Otthein Herzog, Günther Görz, Bernhard Schiemann:
Semantics for Agents. Multiagent Engineering 2006: 431-464 - [p1]Ingo J. Timm, Thorsten Scholz, Hendrik Fürstenau:
From Testing to Theorem Proving. Multiagent Engineering 2006: 531-554 - [e2]Klaus Fischer, Ingo J. Timm, Elisabeth André, Ning Zhong:
Multiagent System Technologies, 4th German Conference, MATES 2006, Erfurt, Germany, September 19-20, 2006, Proceedings. Lecture Notes in Computer Science 4196, Springer 2006, ISBN 3-540-45376-8 [contents] - 2005
- [c8]Ingo J. Timm, Dirk Pawlaszczyk:
Large scale multiagent simulation on the grid. CCGRID 2005: 334-341 - [c7]Martin Lorenz, Jan D. Gehrke, Hagen Langer, Ingo J. Timm, Joachim Hammer:
Situation-aware risk management in autonomous agents. CIKM 2005: 363-364 - [c6]Thorsten Scholz, Ingo J. Timm, Rainer Spittel:
An Agent Architecture for Ensuring Quality of Service by Dynamic Capability Certification. EUMAS 2005: 506 - [c5]Thorsten Scholz, Ingo J. Timm, Rainer Spittel:
An Agent Architecture for Ensuring Quality of Service by Dynamic Capability Certification. MATES 2005: 130-140 - [c4]Martin Lorenz, Jan D. Gehrke, Joachim Hammer, Hagen Langer, Ingo J. Timm:
Knowledge Management to Support Situation-aware Risk Management in Autonomous, Self-managing Agents. SOAS 2005: 114-128 - 2004
- [b1]Ingo J. Timm:
Dynamisches Konfliktmanagement als Verhaltenssteuerung intelligenter Agenten. University of Bremen, 2004, ISBN 3-89838-283-4, pp. 1-334 - [e1]Gabriela Lindemann, Jörg Denzinger, Ingo J. Timm, Rainer Unland:
Multiagent System Technologies, Second German Conference, MATES 2004, Erfurt, Germany, September 29-30, 2004, Proceedings. Lecture Notes in Computer Science 3187, Springer 2004, ISBN 3-540-23222-2 [contents] - 2003
- [c3]Ingo J. Timm, Peer-Oliver Woelk:
Ontology-Based Capability Management for Distributed Problem Solving in the Manufacturing Domain. MATES 2003: 168-179 - [c2]Andreas J. Dietrich, Ingo J. Timm, Stefan Kirn:
Implications of Mass Customization on Business Information Systems. MCPC 2003: 70:1-70:18 - 2002
- [j2]Ubbo Visser, Heiner Stuckenschmidt, Christoph Schlieder, Holger Wache, Ingo J. Timm:
Terminology Integration for the Management of distributed Information Resources. Künstliche Intell. 16(1): 31-34 (2002) - 2001
- [c1]Ingo J. Timm:
Enterprise Agents Solving Conflicts: Thecobac Approach. GI Jahrestagung (2) 2001: 952-958
1990 – 1999
- 1997
- [j1]Heiner Stuckenschmidt, Ingo J. Timm, Jörg Schröder:
cosap - Bilanz eines studentischen KI-Projektes. Künstliche Intell. 11(3): 42-46 (1997)
Coauthor Index
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