Niklas Fiekas

Clausthal University of Technology | TUC · Department of Computer Science

The Multi-Agent Programming Contest, MAPC, is an (almost) annual competition with international participants. The contestants develop a multi-agent system that has to compete against each other team in a series of games, requiring cooperation, collaboration, planning capabilities and much more. The contest goals are twofold: We try to find scenario...

This book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contrib...

This is a research proposal, aiming to improve tooling and features of agent-oriented programming languages, in particular Jason, to handle virtual time and real-time deadlines. The main idea is to apply known techniques and patterns from asynchronous programming in classical programming languages, and extend Jason as necessary.

The Multi-Agent Programming Contest, MAPC, is an annual event organized since 2005 out of Clausthal University of Technology. Its aim is to investigate the potential of using decentralized, autonomously acting intelligent agents, by providing a complex scenario to be solved in a competitive environment. For this we need suitable benchmarks where ag...

The Multi-Agent Programming Contest, MAPC, is an annual event organized since 2005 out of Clausthal University of Technology. Its aim is to investigate the potential of using decentralized, autonomously acting intelligent agents, by providing a complex scenario to be solved in a competitive environment. For this we need suitable benchmarks where ag...

This book constitutes the 14th edition of the annual Multi-Agent Programming Contest, MAPC 2019, and presents its participants. The 2019 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It...

The multi-agent programming contest (MAPC), is an annual attempt to motivate people to learn about and develop multi-agent systems to solve a complex challenge. We try to find scenarios, in which multi-agent systems can be suitably applied. These scenarios and the competition in general also often serve researchers as a testbed for their systems an...

We present the thirteenth edition of the annual Multi-Agent Programming Contest, a community-serving competition that attracts participants from all over the world. Participants have to design a program that controls entities in a specifically designed scenario. This challenge is interesting in itself and also well-suited to be used in educational...

This book constitutes the 13th edition of the annual Multi-Agent Programming Contest, MABS 2018, and presents its participants. The 2018 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It...

We present the twelfth edition of the Multi-Agent Programming Contest (https://multiagentcontest.org), an annual, community-serving competition that attracts groups from all over the world. Our contest facilitates comparison of multi-agent systems and provides a concrete problem that is interesting in itself and well-suited to be tackled in educati...

We aim to simulate software processes in order to predict the structural evolution of software graphs and assure higher software quality. To make our simulation and therefore the results more accurate, we need to model real world practices. In this paper, we consider the specific problem of including software refactorings in our simulation. We desc...

Software development is a costly process and requires serious quality control on the management level: Managing a project with more than 10 programmers over several years is a highly nontrivial task. We are building tools for helping the manager to predict the future development of the project based on certain adjustable parameters. The main idea i...

Jason is perhaps the most advanced multi-agent programming language based on AgentSpeak. Unfortunately, its current Java-based implementation does not scale up and is seriously limited for simulating systems of hundreds of thousands of agents. We are presenting a scalable simulation platform for running huge numbers of agents in a Jason style simul...

Using purely agent-based platforms for any kind of simulation requires to address the following challenges: 1) scalability; 2) efficient memory management; 3) modelling. While dedicated professional simulation tools usually provide rich domain libraries and advanced visualisation techniques, and support the simulation of large scenarios, they do no...

Using purely agent-based platforms for any kind of simulation requires to address the following challenges: 1 scalability; 2 efficient memory management; 3 modelling. While dedicated professional simulation tools usually provide rich domain libraries and advanced visualisation techniques, and support the simulation of large scenarios, they do not a...