scholarly journals Crowd intelligence evolution based on complex network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianran Liu ◽  
Wen Ji
Keyword(s):  
Complex Network ◽  
Intelligent Agents ◽  
Cooperative Behavior ◽  
Content Type ◽  
Interactive Behavior ◽  
Interactive Network ◽  
Interactive Relationship ◽  
Evolution Behavior ◽  
Crowd Intelligence ◽  
Self Organizing

Purpose In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks. Design/methodology/approach This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence. Findings The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout. Practical implications The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed. Originality/value Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhifang Wang ◽  
Jianguo Yu ◽  
Shangjing Lin
Keyword(s):  
Nonlinear Distortion ◽  
Ad Hoc ◽  
Fault Tolerant ◽  
Signal Transmission ◽  
Network System ◽  
Long Distance ◽  
Content Type ◽  
Wireless Signal ◽  
Robust Adaptive ◽  
Self Organizing

Purpose To solve the above problems and ensure the stability of the ad hoc network node topology in the process of wireless signal transmission, this paper aims to design a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Design/methodology/approach This paper designs a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Findings The simulation results show that the amorphous flat wireless self-organizing network system has good nonlinear distortion fault-tolerant correction ability under the feedback control of the designed controller, and the system has the asymptotically stable convergence ability; the test results show: the node topology of the self-organizing network structural stability is significantly improved, which provides a foundation for the subsequent realization of long-distance transmission of ad hoc network nodes. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Originality/value The controller can extract the fault information caused by nonlinear distortion in the wireless signal transmission process, and at the same time, its feedback matrix K can gradually converge the generated wireless signal error to zero, to realize the stable transmission of the wireless signal.

Instrumental Means for Managing the Rational Behavior of Self-Organizing Autonomous Intelligent Agents

2021 ◽  
Vol 22 (4) ◽  
pp. 171-180
Author(s):  
V. B. Melekhin ◽  
M. V. Khachumov
Keyword(s):  
Intelligent Agents ◽  
Environmental Changes ◽  
A Priori ◽  
Operating Conditions ◽  
Basic Principles ◽  
Purposeful Behavior ◽  
Problem Solvers ◽  
Boundary Estimates ◽  
Self Learning ◽  
Self Organizing

We formulate the basic principles of constructing a sign-signal control for the expedient behavior of autonomous intelligent agents in a priori undescribed conditions of a problematic environment. We clarify the concept of a self-organizing autonomous intelligent agent as a system capable of automatic goal-setting when a certain type of conditional and unconditional signal — signs appears in a problem environment. The procedures for planning the expedient behavior of autonomous intelligent agents have been developed, that imitate trial actions under uncertainty in the process of studying the regularities of transforming situations in a problem environment, which allows avoiding environmental changes in the process of self-learning that are not related to the achievement of a given goal. Boundary estimates of the proposed procedures complexity for planning expedient behavior are determined, confirming the possibility of their effective implementation on the on-board computer of the automatic control system for the expedient activity of autonomous intelligent agents. We carry out an imitation on a personal computer of the proposed procedures for planning purposeful behavior, confirming the effectiveness of their use to build intelligent problem solvers for autonomous intelligent agents in order to endow them with the ability to adapt to a priori undescribed operating conditions. The main types of connections between various conditional and unconditional signal — signs of a problem environment are structured, which allows autonomous intelligent agents to adapt to complex a priori undescribed and unstable conditions of functioning.

The prisoner’s dilemma in the workplace: how cooperative behavior of managers influence organizational performance and stress

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Josef Spurný ◽  
Ivan Kopeček ◽  
Radek Ošlejšek ◽  
Jaromír Plhák ◽  
Francesco Caputo
Keyword(s):  
Organizational Performance ◽  
Stress Resistance ◽  
Prisoner's Dilemma ◽  
Organizational Context ◽  
Cooperative Behavior ◽  
Prisoner’S Dilemma ◽  
Working Environment ◽  
Content Type ◽  
Stress Levels ◽  
The Impact

Purpose The aim of the paper is to analyze the impact of cooperativeness of managers who occupy central positions in interaction networks on the performance and stress levels of a whole organization. Design/methodology/approach To explore this relationship, a multi-parameter agent-based model is proposed which implements the prisoner’s dilemma game approach on a scale-free network in the NetLogo environment. A description of the socioeconomic aspects and the key concepts implemented in the model is provided. Stability and correctness have been tested through a series of validation experiments, including sensitivity analysis. The source code is available for further exploration and testing. Findings The simulations revealed that improving the stress resistance of all employees moderately increases organizational performance. Analyzing managers’ roles showed that increasing only the stress resistance of managers does not account for significantly higher overall performance. However, a substantial increase in organizational performance and a decrease in stress levels are achieved when managers are unconditionally cooperative. This effect is stronger for the lowered stress resistance of employees. Therefore, the willingness of managers to cooperate under all circumstances can be a key factor in achieving better performance and building a more pleasant, stress-free working environment. Originality/value This paper aims to present a model for analyzing cooperation, specifically in the organizational context, extending the prisoner’s dilemma with novel concepts and mechanisms. Although the results confirm the existing theories about the importance of central nodes in complex networks, they also provide further details on how the cooperative behavior of central nodes (i.e. the managers) might benefit the organization.

scholarly journals An intelligence optimization method based on crowd intelligence for IoT devices

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ke Wang ◽  
Zheming Yang ◽  
Bing Liang ◽  
Wen Ji
Keyword(s):  
Genetic Algorithm ◽  
Design Methodology ◽  
Rapid Development ◽  
Optimization Method ◽  
The Internet ◽  
Content Type ◽  
Communication Capacity ◽  
Iot Devices ◽  
Crowd Intelligence ◽  
The Internet Of Things

Purpose The rapid development of 5G technology brings the expansion of the internet of things (IoT). A large number of devices in the IoT work independently, leading to difficulties in management. This study aims to optimize the member structure of the IoT so the members in it can work more efficiently. Design/methodology/approach In this paper, the authors consider from the perspective of crowd science, combining genetic algorithms and crowd intelligence together to optimize the total intelligence of the IoT. Computing, caching and communication capacity are used as the basis of the intelligence according to the related work, and the device correlation and distance factors are used to measure the improvement level of the intelligence. Finally, they use genetic algorithm to select a collaborative state for the IoT devices. Findings Experimental results demonstrate that the intelligence optimization method in this paper can improve the IoT intelligence level up to ten times than original level. Originality/value This paper is the first study that solves the problem of device collaboration in the IoT scenario based on the scientific background of crowd intelligence. The intelligence optimization method works well in the IoT scenario, and it also has potential in other scenarios of crowd network.

scholarly journals Opportunities and challenges of using socially intelligent agents: increasing interaction and school participation for children suffering from a long-term illness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eva Mårell-Olsson ◽  
Thomas Mejtoft ◽  
Sofia Tovedal ◽  
Ulrik Söderström
Keyword(s):  
Intelligent Agents ◽  
Design Methodology ◽  
Holistic Approach ◽  
Negative Effects ◽  
Content Type ◽  
Medical Needs ◽  
Societal Benefits ◽  
School Participation

PurposeChildren suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.Design/methodology/approachInterviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.FindingsIt is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.Originality/valueThe originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.

scholarly journals The None in Three Victim Responsiveness Assessment (Ni3: VRA): a new outcome measure for intimate partner violence (IPV) prevention programs

2019 ◽  
Vol 14 (2) ◽  
pp. 97-106 ◽  
Author(s):  
Agata Debowska ◽  
Daniel Boduszek ◽  
Dominic Willmott ◽  
Adele D. Jones
Keyword(s):  
Intimate Partner Violence ◽  
Partner Violence ◽  
Design Methodology ◽  
Cooperative Behavior ◽  
Positive Association ◽  
Intimate Partner ◽  
Significant Positive Association ◽  
Content Type ◽  
Confirmatory Factor ◽  
Percent Female

Purpose The purpose of this paper is to develop and validate the None in Three Victim Responsiveness Assessment (Ni3: VRA) examining affective and cognitive responsiveness toward victims of intimate partner violence. Design/methodology/approach Data were collected at two time points in a sample of 359 young people from Barbados and Grenada (56.27 percent female; M age=12.73 years). Findings Confirmatory factor analysis results indicated that the Ni3: VRA scores are best captured by a two-factor solution, including affective and cognitive dimensions. A test-retest correlation confirmed the reliability of the Ni3: VRA over time. Affective responsiveness formed a significant positive association with caring/cooperative behavior. Originality/value The Ni3: VRA can be used for the evaluation of preventive strategies aimed at reducing the rates of IPV.

scholarly journals A novel simulation framework for crowd co-decisions

2020 ◽  
Vol 4 (1) ◽  
pp. 2-16
Author(s):  
Xia Yao ◽  
Hongbo Sun ◽  
Baode Fan
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Rapid Development ◽  
Content Type ◽  
Voting Rule ◽  
The Social ◽  
Crowd Intelligence ◽  
Large Scale Simulations ◽  
Public Decision ◽  
Public Decision Making

Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.

Complex network analysis for international talent mobility based on bibliometrics

2019 ◽  
Vol 11 (3) ◽  
pp. 419-435
Author(s):  
Yinqiu Wang ◽  
Hui Luo ◽  
Yunyan` Shi
Keyword(s):  
Developing Countries ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Complex Network ◽  
Design Methodology ◽  
Developed Countries ◽  
Bibliometric Data ◽  
Content Type ◽  
Negative Factor ◽  
The World

Purpose This paper aims to explore international talent mobility and identify its negative/positive factors. Design/methodology/approach Bibliometric data from Scopus are explicated to model the mobility network and providing a more comprehensive posture. In addition, by using indicators of complex network, significant features of international talent mobility are described quantitatively. After that, by introducing a kind of improved gravity model with multiple linear regression, the authors identify factors to explain international talent mobility flows. Findings With the analysis of international talent mobility in complex network, the overall network is not balanced. A small part of developed countries and developing countries with good emergency attract and drain a lot of talents and talents usually moving between these countries, the amount of talents leaving or entering into other countries is very limited. Furthermore, according to multiple linear regression, it is found that the share of migrants in population is the major negative factor for international talent mobility, and the factors of destination countries is more significant than original countries. Originality/value The result of this paper may support further research studies and political suggestions for cultivating, attracting and retaining scientific and technological talents in the world.

Employee self-concepts, voluntary learning behavior, and perceived employability

2015 ◽  
Vol 30 (3) ◽  
pp. 264-279 ◽  
Author(s):  
Sungjun Kim ◽  
Hacksoo Kim ◽  
Jinkyu Lee
Keyword(s):  
Human Capital ◽  
Human Capital Theory ◽  
Self Concept ◽  
Learning Behavior ◽  
Cross Sectional ◽  
Capital Theory ◽  
Content Type ◽  
Perceived Employability ◽  
Interactive Relationship ◽  
Concept Theory

Purpose – The purpose of this paper is to investigate the antecedents of employees’ perceived employability based on both self-concept and human capital theory. The study tested the relationship between employees’ self-concepts and perceived employability by using organization-based self-esteem (OBSE) and role-breadth self-efficacy. This study also examined the interactive relationship between self-concepts and voluntary leaning behavior, which can be viewed as a means of enhancing human capital. Design/methodology/approach – Data were collected from 301 employees of an organization in Korea. Findings – The results demonstrated that OBSE and its interaction with voluntary learning behavior were positively correlated with perceived employability. Research limitations/implications – The data were cross-sectional. Causal inferences should be made with caution. Originality/value – Unlike previous literature that has relied primarily on human capital theory, this study draws on self-concept theory to show that employee self-concept can be an antecedent of perceived employability. Furthermore, this study argues that employees’ perceived employability may be more fully understood through the lenses of both self-concept and human capital theories.

scholarly journals A new simulation framework for crowd collaborations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rui Yang ◽  
Hongbo Sun
Keyword(s):  
Swarm Intelligence ◽  
Low Cost ◽  
Physical Space ◽  
Good Method ◽  
Best Interests ◽  
Human Society ◽  
Content Type ◽  
Group A ◽  
Crowd Intelligence ◽  
High Repeatability

Purpose Collaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditional simulation is difficult to adapt to the crowd intelligence network simulation, so the crowd collaborations simulation is proposed. Design/methodology/approach In this paper, the atomic swarm intelligence unit and collective swarm intelligence unit are proposed to represent the behavior of individuals and groups in physical space and the interaction between them. Findings To explore the best collaboration mode of the group, a framework of crowd collaborations simulation is proposed, which decomposes the big goal into the small goals by constructing the cooperation chain and analyzes the cooperation results and feeds them back to the next simulation. Originality/value Two kinds of swarm intelligence units are used to represent the simulated individuals in the group, and the pattern is used to represent individual behavior. It is suitable for the simulation of collaboration problems in various types and situations.

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