The Multi-Agent Group Motions Generated by Models of Insect Small Target Detector Neurons and Feedback

2022 ◽  
Author(s):  
Md Arif Billah ◽  
Imraan Faruque
Keyword(s):  
Author(s):  
Jacques Ferber ◽  
Tiberiu Stratulat ◽  
John Tranier

In this chapter, we stress the importance of thinking a MAS in all its aspects (agents, environment, interactions, organizations, and institutions), using a more integral vision. We show that a genuine organizational approach has to take into account both the environment and the institutional part of MAS societies. Then, we propose the MASQ (Multi-Agent System based on Quadrants) meta-model, which constitutes an abstraction of the various aspects of an OCMAS (Organization Centered Multi-Agent Systems), extending AGR (Agent/Group/Role). MASQ is based on a four-quadrant framework, where the analysis and design of a system is performed along two axes: an interior/exterior dimension and an individual/collective dimension. We give a conceptual definition of this approach and we will show that it is possible to apply it to practical models.


2007 ◽  
Vol 16 (01) ◽  
pp. 27-50
Author(s):  
A. E. EIBEN ◽  
C. M. JONKER ◽  
V. POPOVA ◽  
M. C. SCHUT

To analyze emergent behavior, a formal framework is needed to characterize the structure and dynamics of complex interaction-based multi-agent systems. We introduce an extension of an existing agent testbed for artificial societies making it possible to formally analyze the dynamics of the simulated agent system. The extension generates temporally annotated logical terms that describe parts of the dynamics of the simulated system. Based on these terms, it is possible to validate hypotheses about the system on different levels of aggregation, i.e. agent, group and system level. We present first results from a set of simple experiments in a class of artificial societies.


2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Hector Roussille ◽  
Önder Gürcan ◽  
Fabien Michel

Blockchain is a very attractive technology since it maintains a public, append-only, immutable and ordered log of transactions which guarantees an auditable ledger accessible by anyone. Blockchain systems are inherently interdisciplinary since they combine various fields such as cryptography, multi-agent systems, distributed systems, social systems, economy, and finance. Furthermore, they have a very active and dynamic ecosystem where new blockchain platforms and algorithms are developed continuously due to the interest of the public and the industries to the technology. Consequently, we anticipate a challenging and interdisciplinary research agenda in blockchain systems, built upon a methodology that strives to capture the rich process resulting from the interplay between the behavior of agents and the dynamic interactions among them. To be effective, however, modeling studies providing insights into blockchain systems, and appropriate description of agents paired with a generic understanding of their components are needed. Such studies will create a more unified field of blockchain systems that advances our understanding and leads to further insight. According to this perspective, in this study, we propose using a generic multi-agent organizational modeling for studying blockchain systems, namely AGR4BS. Concretely, we use the Agent/Group/Role (AGR) organizational modeling approach to identify and represent the generic entities which are common to blockchain systems. We show through four real case studies how this generic model can be used to model different blockchain systems. We also show briefly how it can be used for modeling three well-known attacks on blockchain systems.


2011 ◽  
Vol 187 ◽  
pp. 399-404
Author(s):  
Wei Zhang ◽  
Lan Pan

Agents' evolutionary behavior in a multi-agent system, which will generate chaotic phenomena, can be used in studying chaos system in natural environment system. The paper simulated the process of belief transfer and bidirectional, innovational transfer among agents, and proposed a new concept of chaotic basic wave and a ZP model. Through some experiments, the paper concluded that the agent group with bidirectional and innovational transfer phenomena could keep the number of their belief types in a steadily chaotic status, and this chaotic steady status will not be affected by some variables of the system in a macroscopic view.


Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3054 ◽  
Author(s):  
Kundrák ◽  
Mitsyk ◽  
Fedorovich ◽  
Markopoulos

The multi-energy vibration processing, namely the combination of different energies or forces acting on a free abrasive medium for grinding of metal parts, is becoming more used in finishing processes, in recent years. However, the complexity that is involved in the aforementioned process requires a careful look in the particularities of the process itself in general and the movement of the abrasive media, in particular. In this paper, the nature of the collective movement of abrasive granules between the independently oscillating surfaces of the reservoir and the processed parts is described. This study presents the dissipation of the kinetic energy of the granules in a pseudo-gas from the working medium granules. The motion of the medium granules near the part surface, which is caused by pseudo-waves initiated by vibrations of the working surfaces of the vibration machine reservoir, is demonstrated. Furthermore, the nature of the motion of the granules near the oscillating part surface is described. The analysis that is presented here permits the determination of metal removal quantity from the surface of the workpiece as a result of multi-agent group action of the vibrating reservoir surface and the processed part. The optimal conditions for the finishing process can be determined based on the analysis presented.


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