scholarly journals Knowledge Management and Problem Solving in Real Time: The Role of Swarm Intelligence

10.28945/3528 ◽  
2016 ◽  
Vol 11 ◽  
pp. 177-199 ◽  
Author(s):  
Chris W Callaghan

Knowledge management research applied to the development of real-time research capability, or capability to solve societal problems in hours and days instead of years and decades, is perhaps increasingly important, given persistent global problems such as the Zika virus and rapidly developing antibiotic resistance. Drawing on swarm intelligence theory, this paper presents an approach to real-time research problem-solving in the form of a framework for understanding the complexity of real-time research and the challenges associated with maximizing collaboration. The objective of this research is to make explicit certain theoretical, methodological, and practical implications deriving from new literature on emerging technologies and new forms of problem solving and to offer a model of real-time problem solving based on a synthesis of the literature. Drawing from ant colony, bee colony, and particle swarm optimization, as well as other population-based metaheuristics, swarm intelligence principles are derived in support of improved effectiveness and efficiency for multidisciplinary human swarm problem-solving. This synthesis seeks to offer useful insights into the research process, by offering a perspective of what maximized collaboration, as a system, implies for real-time problem solving.

Author(s):  
Chris W. Callaghan

Background: Despite technological advances that offer new opportunities for solving societal problems in real time, knowledge management theory development has largely not kept pace with these developments. This article seeks to offer useful insights into how more effective theory development in this area could be enabled.Aim: This article suggests different streams of literature for inclusion into a theoretical framework for an emerging stream of research, termed ‘probabilistic innovation’, which seeks to develop a system of real-time research capability. The objective of this research is therefore to provide a synthesis of a range of diverse literatures, and to provide useful insights into how research enabled by crowdsourced research and development can potentially be used to address serious knowledge problems in real time.Setting: This research suggests that knowledge management theory can provide an anchor for a new stream of research contributing to the development of real-time knowledge problem solving.Methods: This conceptual article seeks to re-conceptualise the problem of real-time research and locate this knowledge problem in relation to a host of rapidly developing streams of literature. In doing so, a novel perspective of societal problem-solving is enabled.Results: An analysis of theory and literature suggests that certain rapidly developing streams of literature might more effectively contribute to societally important real-time research problem solving if these steams are united under a theoretical framework with this goal as its explicit focus.Conclusion: Although the goal of real-time research is as yet not attainable, research that contributes to its attainment may ultimately make an important contribution to society.


2006 ◽  
Vol 32 (9) ◽  
pp. 479-487 ◽  
Author(s):  
Richard P. Shannon ◽  
Diane Frndak ◽  
Naida Grunden ◽  
Jon C. Lloyd ◽  
Cheryl Herbert ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Quande Qin ◽  
Shi Cheng ◽  
Qingyu Zhang ◽  
Li Li ◽  
Yuhui Shi

Artificial bee colony (ABC) is one of the newest additions to the class of swarm intelligence. ABC algorithm has been shown to be competitive with some other population-based algorithms. However, there is still an insufficiency that ABC is good at exploration but poor at exploitation. To make a proper balance between these two conflictive factors, this paper proposed a novel ABC variant with a time-varying strategy where the ratio between the number of employed bees and the number of onlooker bees varies with time. The linear and nonlinear time-varying strategies can be incorporated into the basic ABC algorithm, yielding ABC-LTVS and ABC-NTVS algorithms, respectively. The effects of the added parameters in the two new ABC algorithms are also studied through solving some representative benchmark functions. The proposed ABC algorithm is a simple and easy modification to the structure of the basic ABC algorithm. Moreover, the proposed approach is general and can be incorporated in other ABC variants. A set of 21 benchmark functions in 30 and 50 dimensions are utilized in the experimental studies. The experimental results show the effectiveness of the proposed time-varying strategy.


1990 ◽  
Author(s):  
Paul Cohen ◽  
David M. Hart

2020 ◽  
Vol 115 (2) ◽  
pp. 90-102
Author(s):  
Agnieszka SZCZYGIELSKA, PhD

The aim of this paper is to present the role of knowledge management in the process of professional development of the Ministry of National Defence personnel with regard to contemporary socioeconomic changes. The basic research problem concerns the use of the knowledge management concept in the management of the process of professional development of the Ministry of National Defence employees. The structure of the article covers two basic exploratory issues. The first one refers to general theoretical tenets of knowledge management in modern armed forces. The second one concerns the functioning of armed forces in a knowledge economy. Aside from theory, the paper also looks at the practical aspects of knowledge management in armed forces. Results from the analysis of the literature and of non-standardised indirect observation were used during the research process. Face-to-face, free-form interviews with selected knowledge management specialists were also employed. The process of drawing conclusions was aided by the opinions of selected officers, students of postgraduate courses conducted at the War Studies University.


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