Markus Hannebauer

Web Knowledge Management and Decision Support

Shared declarative aspects of Prolog and XML are examined. An XML version of pure Prolog is shown to be at the center of the Rule Markup Language. The RuleML data model uses Order-Labeled trees, combining the RDF and XML models. As part of RuleML’s hierarchy of sublanguages, the RuleML-Prolog DTD is developed into an XML Schema. XSLT (XSL Transformations) is employed for practical XMLto-XML and XML-to-(X)HTML transformation of Prolog on the Web.

Distributed constraint optimization for medical appointment scheduling

ABSTRACT Though multi-agent systems seem to be promising to solve s heduling problems in administration and health are management, most implemented re ent systems la k a sound foundation for ollaboration. Resear h in distributed onstraint satisfa tion/optimization problems (DCSPs and DCOPs) ould yield a hange here. But instead of ta kling a ademi -size problems with omplete algorithms, in this paper we present an approa h to oordinate several agents ea h using an o -the-shelf onstraint solver in a real-world ase study. We present a full DCOP model of medi al appointment s heduling as well as inter-agent and intra-agent algorithms to solve this problem.

AT Humboldt - Development, Practice and Theory

This article covers three basics of our virtual soccer team AT Humboldt: We describe our development process in the frame of a practical exercise for students. The resulting efficient agent-oriented realization is explained, and we give a theoretical embedding of our planning component based on BDI.

Balancing Reactivity and Social Deliberation in Multi-Agent Systems

Balancing Reactivity and Social Deliberation in Multi-Agent Systems - A Short Guide to the Contributions.- Reactivity and Deliberation: A Survey on Multi-Robot Systems.- II Architectures and Frameworks.- Bridging Deliberation and Reactivity in Cooperative Multi-Robot Systems through Map Focus.- Balancing between Reactivity and Deliberation in the ICAGENT Framework.- On Augmenting Reactivity with Deliberation in a Controlled Manner.- HAC: A Unified View of Reactive and Deliberative Activity.- III Enhanced Reactivity.- Team Cooperation Using Dual Dynamics.- A Hierarchy of Reactive Behaviors Handles Complexity.- Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids.- Being Reactive by Exchanging Roles: An Empirical Study.- IV Controlled Social Deliberation.- Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents.- Deliberation Levels in Theoretic-Decision Approaches for Task Allocation in Resource-Bounded Agents.- Cognition, Sociability, and Constraints.

Belief-Desire-Intention Deliberation in Artificial Soccer

Many different architectures have been proposed for the design of autonomous agents. In this article, the application of the belief-desire-intention architecture to the artificial soccer domain is described. We show how it supports efficient deliberation in a highly dynamic environment.

Emergent Cooperation in a Virtual Soccer Environment

This article describes some planning techniques which have been implemented in the programs of “AT Humboldt”, the champion in the Simulator League of RoboCup97. The Simulator League is based on the virtual real-time environment “Soccer Simulator”. It is shown how cooperative behavior can emerge without communication. Furthermore we explain our treatment of the trade-off between plan stability and plan adaption using an BDI-approach.

BDI Design Principles and Cooperative Implementation in RoboCup

This report discusses two major views on BDI deliberation for autonomous agents. The first view is a rather conceptual one, presenting general BDI design principles, namely heuristic options, decomposed reasoning and layered planning, which enable BDI deliberation in realtime domains. The second view is focused on the practical application of the design principles in RoboCup Simulation League. This application not only evaluates the usefulness in deliberation but also the usefulness in rapid cooperative implementation. We compare this new approach, which has been used in the Vice World Champion team AT Humboldt 98, to the old approach of AT Humboldt 97, and we outline our ideas for further improvements, which are still under work.

Their Problems are My Problems

In Multi-Agent Systems there has been quite an amount of research on how to model conflicts in (intelligent) agent architectures for example by imitating mental states and augmenting them with social notions. Nevertheless, a great deal of investigation is missing on the transition between internal and external conflicts. Arguments in favor of taking a closer look at this transition include a practical one from applications where internal conflicts may easily become external conflicts and vice versa, and a technical one motivated by the existence of more efficient algorithms for solving internal conflicts.