2,462 research outputs found
Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor
The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities
Towards adaptive multi-robot systems: self-organization and self-adaptation
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG gefƶrderten) Allianz- bzw. Nationallizenz frei zugƤnglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible
Constraint rule-based programming of norms for electronic institutions
Peer reviewedPostprin
Learning in Repeated Games: Human Versus Machine
While Artificial Intelligence has successfully outperformed humans in complex
combinatorial games (such as chess and checkers), humans have retained their
supremacy in social interactions that require intuition and adaptation, such as
cooperation and coordination games. Despite significant advances in learning
algorithms, most algorithms adapt at times scales which are not relevant for
interactions with humans, and therefore the advances in AI on this front have
remained of a more theoretical nature. This has also hindered the experimental
evaluation of how these algorithms perform against humans, as the length of
experiments needed to evaluate them is beyond what humans are reasonably
expected to endure (max 100 repetitions). This scenario is rapidly changing, as
recent algorithms are able to converge to their functional regimes in shorter
time-scales. Additionally, this shift opens up possibilities for experimental
investigation: where do humans stand compared with these new algorithms? We
evaluate humans experimentally against a representative element of these
fast-converging algorithms. Our results indicate that the performance of at
least one of these algorithms is comparable to, and even exceeds, the
performance of people
MACS: Multi-agent COTR system for Defense Contracting
The field of intelligent multi-agent systems has expanded rapidly in the recent past. Multi-agent architectures and systems are being investigated and continue to develop. To date, little has been accomplished in applying multi-agent systems to the defense acquisition domain. This paper describes the design, development, and related considerations of a multi-agent system in the area of procurement and contracting for the defense acquisition community
- ā¦