An application of agent-based simulation to knowledge sharing

Wang, Jing; Gwebu, Kholekile L.; Shanker, Murali; Troutt, Marvin D.

doi:10.1016/j.dss.2008.09.006

Cited by 82 publications

(52 citation statements)

References 40 publications

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“…However, the framework model we presented in the paper is relatively simple, the knowledge emerge method and agent based system need to be integrated and simulate to enhance the extension innovation model [44,45]. Since the significant importance of big data, information and knowledge, deep research about combination of above methods with web information technology, data mining or knowledge management with Extenics would be further topic.…”

Section: Discussionmentioning

confidence: 99%

Toward Extenics-Based Innovation Model on Intelligent Knowledge Management

Chen

2014

Ann. Data. Sci.

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Innovation is playing an increasingly important role in management, but the process of generating creative ideas for innovation mostly relies on skilled persons which are usually unavailable. Information technology is changing the management environment and accumulating huge data, from which data mining discovered a lot of knowledge. However, it's difficult to use such rough knowledge and information effectively to benefit the innovation. Based on the new cross discipline Extenics, we analyzed on current innovation models and methods, and present a combined innovation model using intelligent knowledge management and extension transformation methods. The model process the knowledge discovered from data mining into a tree structure and save them in knowledge base in basic-element format. We then explore the innovation paths and its directions by a formularized model by human-computer interaction method based on Extenics. The model can objectively describe how the innovation solutions are created. Furthermore, we present a management innovation case to support our model. The framework is proved useful for practical applications.

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Section: Discussionmentioning

confidence: 99%

Toward Extenics-Based Innovation Model on Intelligent Knowledge Management

Chen

2014

Ann. Data. Sci.

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“…There have been a number of recent empirical papers pertaining to the various applications of agent-based simulations such as knowledge exchange (Wang et al 2009), social activity generation and scheduling (Ronald et al 2012), computermediated communication (Canessa and Riolo 2006), innovation diffusion within market networks (Bohlmann et al 2010), and innovation networks (Ahrweiler et al 2011). Table 13.1 provides examples of these research studies.…”

Section: Background Literaturementioning

confidence: 99%

Modeling Dynamic Organizational Network Structure

Song

Choi

2014

Reshaping Society Through Analytics, Collaboration, and Decision Support

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The organizational social networks, where the creation and recombination of knowledge typically takes place, are recognized as a crucial enabler for improving the organizational innovation and performance. While the recent research endeavors have been insightful in explaining the effect of the organizational social networks, we may need more effective tools to investigate the dynamics of the evolving network structures within an organization. Agent-based modeling has been considered a powerful tool for thoroughly studying the dynamics of the system. In this study, we propose an agent-based simulation model to provide a deeper understanding the dynamics of organizational network structures along with its task environment.

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“…Complex systems also consist of interacting agents with adaptive behavior(s) that are not in equilibrium and interact through both positive and negative feedback and c [35][36] [37][38] [39]. Agent based modeling a natural systems in a straig consistency, and precision unique modeling approach way to study adaptive acto characteristic of ABM is i phenomena refers to resul anticipated, discovered, exp of the system [41][42] [43] implement an agent based m decision making towards p epidemic as well as provid Our ABM is also designe system through in-silico exp…”

Section: Complex Systems and Agent Based Modelingmentioning

confidence: 99%

An Obesity Agent Based Model: A New Decision Support System for the Obesity Epidemic

Bourisly

2013

Communications in Computer and Information Science

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Abstract. An agent based model (ABM) has been designed, developed, and implemented for the obesity epidemic. The Obesity ABM has been shown to serve as a decision support system as well as for running in-silico experiments. Eight in-silico experiment were run with different experimental parameter setups. The results suggest that food prices is an effective strategy to reduce obesity compared to exercise, individual encounter, number of food source allocations, and advertisements.

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An application of agent-based simulation to knowledge sharing

Cited by 82 publications

References 40 publications

Toward Extenics-Based Innovation Model on Intelligent Knowledge Management

Toward Extenics-Based Innovation Model on Intelligent Knowledge Management

Modeling Dynamic Organizational Network Structure

An Obesity Agent Based Model: A New Decision Support System for the Obesity Epidemic

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