Springer, Cham, 4/2024. Veronika Kurchyna ; Jan Ole Berndt ; Ingo Timm Can (and should) Automated Surrogate Modelling be used for Simulation Assistance? In: Multi-Agent-Based Simulation XXIV,. International Workshop on Multi-Agent Systems and Agent-Based Simulation (MABS-2023), located at AAMAS, May 6, London, LNCS, Vol. 14558, ISBN Lecture Notes in Computer Scienc, Springer, 2024. Marianna Jantunen; Richard [...] Patrick Mertes; Philipp Flügger; Jan Ole Berndt ; Ingo Timm Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, Pages 315-325 [...] Flügger; Stephanie C. Fendrich ; Michael Goichmann ; Annegret Janzso; Jan Ole Berndt ; Ingo Timm Green choices in rural settings: analyzing community adoption of eco-friendly shopping alternatives through agent-based modeling In: Frontiers in Social Psychology (Front. Soc. Psychol.), Vol. 3, No. 1536958, Pages 1-17, Frontiers Media S.A. Lausanne, Switzerland, 2025. Jonathan Stengl Entwicklung einer Webanwendung

David Rother; Franziska Herbert; Fabian Kalter; Dorothea Koert; Joni Pajarinen; Jan Peters ; Thomas H. Weisswange Entropy based blending of policies for multi-agent coexistence In: International Journal on Autonomous Agents and Multi-Agent Systems (JAAMAS), Vol. 39, No. 1, Pages 1-28, Springer, 5/2025. Ho Minh Duy Nguyen ; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen ; Duy Duong-Tran; Jan [...] Journal (RLJ), 2025. Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent ; Bjarne Gregori; Elisabeth Dillies; Jan Peters ; Constantin A. Rothkopf; Kristian Kersting Deep Reinforcement Learning Agents are not even close to Human Intelligence In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.21731, Pages 1-49, Computing Research Repository, 2025. Junning Huang; Davide Tateo; [...] Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters ; Martin W. Hoffmann Machine Learning with Physics Knowledge for Prediction: A Survey In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 2025. 1 2 3 … 63 nächste Links Übersicht Team News Jobs Kontakt Sekretariat : Tel.: +49 6151 96270 2929 darmstadt@dfki

information overload of the user, preferably just in time. Based on a systematic classification of intelligent information agents, this paper presents an overview of the basic key enabling technologies needed to build such agents, and respective examples of information agent systems currently deployed on the Internet. Matthias Klusch, 2001 [...] relevant information for the common user. Intelligent information agents are autonomous computational software entities that are especially meant to (1) provide pro-active resource discovery, (2) resolve information impedance of information consumers and providers, and (3) offer value-added information services and products. These agents are supposed to cope with the difficulties associated with the

services. Many modern advanced systems are likely to exploit Internet agents - and exploiting Internet agents mostly means dealing with coordination models and technologies of various sorts. This monograph-like anthology is the first systematic guide to models and enabling technologies for the coordination of intelligent agents on the Internet and respective applications. Matthias Klusch; K. Sycara [...] system designers, and application developers with completely new challenges and, as a fascinating new computing paradigm, agent technology has recently attracted broad interest and strong hopes for shaping the future information society. Relating both, the Internet and agents, opens up a whole new range of advanced applications in vibrant subfields of information technology such as middleware, mobile