Jan Wendler

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.

Fault-Tolerant Self Localization by Case-Based Reasoning

In this article we present a case-based approach for the selflocalization of autonomous robots based on local visual information of landmarks. The goal is to determine the position and the orientation of the robot sufficiently enough, despite some strongly incorrect visual information. Our approach to solve this problem makes use of case-based reasoning methods.

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.

AT Humboldt 2000 (Team Description)

Our agent team AT Humboldt 2000 is partly an extension of our former team AT Humboldt 99[2,3]. Again we used a BDI architecture. Especially the world model and some skills where revised. A new timing concept and a completely different architecture for the deliberation component were developed. The actual development was subject of an undergraduate course. Because of problems with the integration of components developed by different work groups, we were forced to start in RoboCup 2000 with a mixed team, consisting mainly of an extended version of the players used in EuRoboCup 2000. Only the goalie used all our new concepts.

Humboldt Hereos in RoboCup-99 (Team description)

The team members include students as well as members of the teaching stuff from the Department of Computer Science at the Humboldt University. They represent the groups of Artificial Intelligence, Responsive Computing, and Signal Processing, respectively. It was the aim of the project to combine the skills of these disciplines to program soccer playing legged robots.