20,330 research outputs found
Organization of Multi-Agent Systems: An Overview
In complex, open, and heterogeneous environments, agents must be able to
reorganize towards the most appropriate organizations to adapt unpredictable
environment changes within Multi-Agent Systems (MAS). Types of reorganization
can be seen from two different levels. The individual agents level
(micro-level) in which an agent changes its behaviors and interactions with
other agents to adapt its local environment. And the organizational level
(macro-level) in which the whole system changes it structure by adding or
removing agents. This chapter is dedicated to overview different aspects of
what is called MAS Organization including its motivations, paradigms, models,
and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page
Towards adaptive multi-robot systems: self-organization and self-adaptation
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugÀnglich.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
Recommended from our members
Research methods and methodologies for studying organisational learning
The purpose of this paper is to compare and evaluate the main research methods and methodologies
for studying organisational learning (OL), and propose a framework for their selection. It presents a
comprehensive review of literature on OL, learning organisation (LO) and research methods and
reports evidence on recent developments in research methods for studying OL. The paper highlighted
on the purists and pragmatistsâ views of research methodologies as basis of the study. The results
revealed that the research methods and methodologies for studying OL do not reflect on the differing
views of the purists and pragmatistsâ debate but rather conform to the convergence ideologies of the
two camps. Particularly, the outcomes augment the use of triangulation and suggest that the choice of
method(s) should be consistent with research aims and epistemological philosophy of OL.
Consequently, the study recommends OL Research Methods Framework as a useful guide for selecting
a suitable approach in the area. The paper recommends ethnography for future research
consideration
- âŠ