The Innovation Network as a Complex Adaptive System: Flexible Multi-agent Based Modeling, Simulation, and Evolutionary Decision Making

Long, Quan; Li, Shuliang

doi:10.1109/isdea.2014.234

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…Currently, more and more experts confirm the need for a combination of sociological and economic approaches in the analysis of network relations. In the paper [13] theories of complex adaptive systems based on the multi-agent modeling and adaptive intelligent agents, smart simulation, statistical methods, expert systems, analytical hierarchy of processes simulation, hybrid decisions support approach. In given study these methods are integrated for innovation network analysis problem.…”

Section: Methodsmentioning

confidence: 99%

Innovation networks effects simulation models

Prokopenko¹,

Omelyanenko²,

Ponomarenko³

et al. 2019

PEN

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In current conditions it becomes necessary to develop guidelines for development of the national innovation systems and assessing their role in sustainable national socioeconomic development. In the conditions innovation development strategies should be focused on ensuring the competitiveness of economic entities, which can be done through innovation networks. The study enhances academic understanding of the factors of innovation transformation based on innovation networks, designed to ensure the involvement of large number of agents to contribute to the implementation of structural changes. In this paper authors analyze the main indicators of innovation networks impact and investigate the main aspects of innovation networks effects simulation. The hypothesis of the study deals with the assumption that the innovation development of the economic system at the present stage, in addition to stimulating the innovative activity of existing entities, deals with the formation of network structures. This research addresses the indicators for networks modeling by developing and testing a series of points indicating how networks affect economic growth. The foregoing discussion has attempted to innovation networks innovation potential assessing methodology based on indicators of the quantitative composition and dynamics of innovation potential to substantiate the viability of this organizational form in developing sectoral policies and technological priorities has been developed. The developed economic and mathematical model of innovation management network leads us to the conclusion that allows predict changes and form a targeted impact on factors when creating new intersectoral structures in order to increase the volume of innovation products.

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Section: Methodsmentioning

confidence: 99%

Innovation networks effects simulation models

Prokopenko¹,

Omelyanenko²,

Ponomarenko³

et al. 2019

PEN

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“…There are plenty of examples of systems that are defined as CASs in the literature and can potentially be considered to be CASs when following our approach. These include computer games [35], competition in healthcare markets [36], circular economy supply networks [37], schools [38]; innovation networks [39], and smart cities 5.0 [40]. Looking at the smart cities example further, as described by Svítek et al [40], smart services represent agents that communicate their decisions, adjust their action plans, and enact these plans in real-time situations.…”

Section: Further Examplesmentioning

confidence: 99%

Defining Complex Adaptive Systems: An Algorithmic Approach

Ahmad,

Baryannis,

Hill

2024

Systems

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Despite a profusion of literature on complex adaptive system (CAS) definitions, it is still challenging to definitely answer whether a given system is or is not a CAS. The challenge generally lies in deciding where the boundaries lie between a complex system (CS) and a CAS. In this work, we propose a novel definition for CASs in the form of a concise, robust, and scientific algorithmic framework. The definition allows a two-stage evaluation of a system to first determine whether it meets complexity-related attributes before exploring a series of attributes related to adaptivity, including autonomy, memory, self-organisation, and emergence. We demonstrate the appropriateness of the definition by applying it to two case studies in the medical and supply chain domains. We envision that the proposed algorithmic approach can provide an efficient auditing tool to determine whether a system is a CAS, also providing insights for the relevant communities to optimise their processes and organisational structures.

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“…The concept and salient features of social media and complex adaptive system theory (CAS) have been discussed in [5,6,12]. The powers of simulation have been analyzed in [10,26]. The advantages of other supporting techniques and technologies have been analyzed in [26].…”

Section: IIImentioning

confidence: 99%

“…The main aims of the study are to develop and establish a hybrid model and framework, and to explore the overall value, usefulness, effectiveness and efficiency of the hybrid approach and associated software tools in supporting innovation and open innovation strategy formulation, processes and diffusion. Part of the research output has been published in the proceedings of an international conference [10] This paper focuses on the use of social media, artificial intelligence (AI), and DSSs in support of open innovation management. It is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Linking Social Media with Open Innovation: An Intelligent Model

2014

2014 7th International Conference on Intelligent Computation Technology and Automation

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obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The WestminsterResearch online digital archive at the University of Westminster aims to make the research output of the University available to a wider audience. Copyright and Moral Rights remain with the authors and/or copyright owners.Whilst further distribution of specific materials from within this archive is forbidden, you may freely distribute the URL of WestminsterResearch: ((http://westminsterresearch.wmin.ac.uk/).In case of abuse or copyright appearing without permission e-mail repository@westminster.ac.uk Li, Shuliang and Li, Jim Zheng (2014) , "Linking social media with open innovation: an intelligent model". In: The Proceedings of the 7th International Conference on Intelligent Computation Technology and Automation, 25th-26th October 2014, Changsha, China. pp.331-335. IEEE-CPS. ISBN 978-1-4799-6636-3/14. DOI 10.1109

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The Innovation Network as a Complex Adaptive System: Flexible Multi-agent Based Modeling, Simulation, and Evolutionary Decision Making

Cited by 7 publications

References 17 publications

Innovation networks effects simulation models

Innovation networks effects simulation models

Defining Complex Adaptive Systems: An Algorithmic Approach

Linking Social Media with Open Innovation: An Intelligent Model

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