Introduction: Social Simulation — A New Disciplinary Synthesis

Conte, Rosaria; Hegselmann, Rainer; Terna, Pietro

doi:10.1007/978-3-662-03366-1_1

Cited by 23 publications

(22 citation statements)

References 6 publications

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“…Simulation techniques have been used to explore several kinds of social science problems [Conte et al 1997;Axelrod, 1997;Gilbert, 1999;Gilbert and Troitzsch, 1999]. In the fields of management and organization theory, simulation has found many applications.…”

Section: A Model Of Knowledge-based Organizational Populationsmentioning

confidence: 99%

Evolution of knowledge management strategies in organizational populations: a simulation model

Canals¹,

Boisot²,

MacMillan³

2005

IN3 work. pap. ser.

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Knowledge flows among organizations play a key role in the evolution of industries and firms in the information economy. In this paper we develop an evolutionary agent-based simulation model derived from a knowledge-based theoretical framework, the I-Space, and use it to explore the effect of knowledge management strategies on the evolution of a group of knowledge-intensive organizations located in a given geographical area. After introducing the conceptual issues involved, we describe the main features of the agent-based model. We then present the results of different runs of the simulation model. From the analysis that follows, we derive a set of hypotheses on the influence of knowledge management strategies and the degree of development of information and communication technologies on the evolution of organizational populations. We conclude the paper by assessing the adequacy of the simulation approach for these kinds of problems and by suggesting some avenues for further research.

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Section: A Model Of Knowledge-based Organizational Populationsmentioning

confidence: 99%

Evolution of knowledge management strategies in organizational populations: a simulation model

Canals¹,

Boisot²,

MacMillan³

2005

IN3 work. pap. ser.

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“…The notion of agent and computational simulation are the master beams of the new complexity science [14].…”

Section: A Methodology From the Social Sciencesmentioning

confidence: 99%

On How to Conduct Experimental Research with Self-Motivated Agents

Antunes

Coelho

2004

Regulated Agent-Based Social Systems

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Abstract. We argue that experimental methodologies are harder to apply when self-motivated agents are involved, especially when the issue of choice gains its due relevance in their model. We use a choice-oriented agent architecture to illustrate a means of bridging the distance between the observer and the actors of an experiment. Traditional experimentation has to give way to exploratory simulation, to bring insights into the design issues, not only of the agents, but of the experiment as well. The role of its designer cannot be ignored, at the risk of achieving only obvious, predictable conclusions. We propose to bring the designer into the experiment. To accomplish that, we provide a value-based model of choice to represent the preferences of both entities. This model includes mechanisms that allow for explicit bonds between observer and observed. We use the findings of extensive experimentation with this model to compare current experimental methodologies in what concerns evaluation itself.

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“…La simulación basada en agentes ha demostrado ser una técnica tremendamente útil para modelizar sistemas complejos, y muy especialmente sistemas sociales (Conte et al, 1997;Gilbert & Troitzsch, 1999;Gilbert & Terna, 2000;Gilbert, 2007). Mediante la simulación basada en agentes, el modelador reconoce explícitamente que los sistemas complejos, y en particular los sociales, son producto de comportamientos individuales y de sus interacciones.…”

Section: Simulación Basada En Agentesunclassified

“…La metodología basada en agentes ha sido utilizada ampliamente para modelizar sistemas en un amplio rango de disciplinas científicas: por ejemplo, economía (Tesfatsion, 2002(Tesfatsion, , 2003, finanzas (LeBaron, 2000), gestión de recursos naturales y ecología (Bousquet & Le Page, 2004;López & Hernández, 2008), ciencias políticas (Axelrod, 1997b;Johnson, 1999), antropología (Kohler & Gumerman, 2000), sociología (Conte et al, 1997;Gilbert & Troitzsch, 1999;Gilbert, 2007), biología (Paton et al, 2004;Walker et al, 2004a;Walker et al, 2004b) o medicina (Mansury et al, 2002;Mansury & Deisboeck, 2004), en los que partiendo de reglas que determinan el comportamiento individual de los agentes se pretende inferir las propiedades globales de todo el sistema (Holland, 1998). Los métodos basados en agentes facilitan el estudio y modelado de sistemas complejos a partir de las unidades que los componen, permitiéndonos construir modelos experimentales de la realidad desde un punto de vista diferente al tradicional: desde lo más simple hacia lo más complejo.…”

Section: Fig 3 En Los Modelos Formales Construidos Mediante Simulacunclassified

Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas

Izquierdo¹,

Galán²,

Santos³

et al. 2008

EMP

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Introduction: Social Simulation — A New Disciplinary Synthesis

Cited by 23 publications

References 6 publications

Evolution of knowledge management strategies in organizational populations: a simulation model

Evolution of knowledge management strategies in organizational populations: a simulation model

On How to Conduct Experimental Research with Self-Motivated Agents

Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas

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