Computational Analysis of Collective Behaviors via Agent-Based Modeling

In this chapter, the authors use an Agent-Based Modeling (ABM) approach to model trading behavior in the Foreign Exchange (FX) market. They establish statistical properties (stylized facts) of the traders’ trading behavior in the FX market using a high-frequency dataset of anonymised OANDA individual traders’ historical transactions on an account level spanning 2.25 years. Using the identified stylized facts of real FX market traders’ behavior, the authors evaluate the collective behavior of the trading agents in resembling the collective behavior of the FX market traders. The study identifies the conditions under which the stylized facts of trading agents’ collective behaviors resemble those for the real FX market traders’ collective behavior. The authors perform an exploration of the market’s features in order to identify the conditions under which the stylized facts emerge.

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Agent Based Modeling on Organizational Dynamics of Terrorist Network

Discrete Dynamics in Nature and Society ◽

10.1155/2015/237809 ◽

2015 ◽

Vol 2015 ◽

pp. 1-17 ◽

Cited By ~ 3

Author(s):

Bo Li ◽

Duoyong Sun ◽

Renqi Zhu ◽

Ze Li

Keyword(s):

Cellular Network ◽

Computational Analysis ◽

Critical Issue ◽

Agent Based Modeling ◽

Organizational Dynamics ◽

Dynamics Model ◽

Agent Based ◽

Terrorist Organization ◽

Operational Processes ◽

Relational Network

Modeling organizational dynamics of terrorist network is a critical issue in computational analysis of terrorism research. The first step for effective counterterrorism and strategic intervention is to investigate how the terrorists operate with the relational network and what affects the performance. In this paper, we investigate the organizational dynamics by employing a computational experimentation methodology. The hierarchical cellular network model and the organizational dynamics model are developed for modeling the hybrid relational structure and complex operational processes, respectively. To intuitively elucidate this method, the agent based modeling is used to simulate the terrorist network and test the performance in diverse scenarios. Based on the experimental results, we show how the changes of operational environments affect the development of terrorist organization in terms of its recovery and capacity to perform future tasks. The potential strategies are also discussed, which can be used to restrain the activities of terrorists.

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Modeling the FX Market Traders' Behavior

Banking, Finance, and Accounting ◽

10.4018/978-1-4666-6268-1.ch018 ◽

2014 ◽

pp. 350-384

Author(s):

Monira Aloud ◽

Edward Tsang ◽

Richard Olsen

Keyword(s):

Collective Behavior ◽

Agent Based Modeling ◽

Statistical Properties ◽

Trading Behavior ◽

Stylized Facts ◽

Collective Behaviors ◽

Agent Based ◽

Trading Agents ◽

Individual Traders ◽

Fx Market

In this chapter, the authors use an Agent-Based Modeling (ABM) approach to model trading behavior in the Foreign Exchange (FX) market. They establish statistical properties (stylized facts) of the traders' trading behavior in the FX market using a high-frequency dataset of anonymised OANDA individual traders' historical transactions on an account level spanning 2.25 years. Using the identified stylized facts of real FX market traders' behavior, the authors evaluate the collective behavior of the trading agents in resembling the collective behavior of the FX market traders. The study identifies the conditions under which the stylized facts of trading agents' collective behaviors resemble those for the real FX market traders' collective behavior. The authors perform an exploration of the market's features in order to identify the conditions under which the stylized facts emerge.

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Influence of Narratives of Vision and Identity on Collective Behavior Change

Sustainability ◽

10.3390/su11205680 ◽

2019 ◽

Vol 11 (20) ◽

pp. 5680 ◽

Cited By ~ 3

Author(s):

Chabay ◽

Koch ◽

Martinez ◽

Scholz

Keyword(s):

Social Movements ◽

Behavior Change ◽

Collective Behavior ◽

Agent Based Modeling ◽

Social Identities ◽

Collective Behaviors ◽

Agent Based ◽

Potential Development ◽

The Caribbean ◽

Sustainable Futures

Profound societal transformations are needed to move society from unsustainability to greater sustainability under continually changing social and environmental conditions. A key challenge is to understand the influences on and the dynamics of collective behavior change toward sustainability. In this paper we describe our approach to (1) understanding how affective narrative expressions influence transitions to more sustainable collective behaviors and (2) how that understanding, as well as the potential for using narrative expressions in modeling of social movements, can become a basis for improving community responses to change in a rapidly changing world. Our focus is on narratives that express visions of desirable futures and narratives that reflect individual and social identities, on the cultures and contexts in which they are embedded, exchanged, and modified, and through which they influence the dynamics of social movements toward sustainability. Using an analytical categorization of narrative expressions of case studies in the Caribbean, Micronesia, and Africa, we describe insights derived from the narratives of vision and social identities in diverse communities. Finally, we suggest that narrative expressions may provide a basis for agent-based modeling to expand thinking about potential development pathways of social movements for sustainable futures.

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