34 research outputs found

    Dueling for honor and identity economics

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    Dueling is one of the best indicators of political transition from anarchy to order. This paper explores the dynamics of dueling for honor as a social institution in England, France, and Germany. It identifies major differences regarding the frequency, duration, and nature of dueling. Although dueling for honor emerged as a self-organizing and self-regulatory collective action of the aristocracy in crisis, it transformed into a middle class institution in France and Germany. However, this institution suddenly ended in England around 1850. In this study, we will follow a cognitive version of identity economics to explain the emergence of this institution, and its divergent trajectories in these countries in terms of identity choice. We will argue that while dueling is an identity investment, it might have different values according to its diverse social meanings. We will show that different social meanings that were attached to dueling in England, France and Germany gave rise to different values in identity investment, and led to different results in enhancing social identities

    Identity, Authority and Evolution of Order: the trajectory of dueling simulated

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    Borrowing from public choice literature, while aristocratic civil wars can be regarded as anarchy, and the monopoly of violence by the state as Leviathan, duel of honor is an orderly anarchy. The sudden or gradual withering of duel of honor as an institution marks the transition to the monopoly of violence by the state in Europe. In this paper, we endeavor to capture this transition by introducing a computational model where a simulated agent considers three sets of factors to make its dueling decision: 1) its own characteristics such as dueling skill; 2) its identity such as the reaction received from other members of its own social group; and finally 3) the reaction of the authority such as the possible punishment that could be inflicted by the state against dueler. These factors then interact through a dynamic utility function affected by both optimization and learning processes. The results of our agent-based computational model which are validated against the historical evidence from England, France, and Germany show that a complex, aggregative historical process may be consistently explained on the basis of rational choice of heterogeneous individual agents conditioned by their group identity and authority (organizational) influence

    Identity, Authority and Evolution of Order: the trajectory of dueling simulated

    Get PDF
    Borrowing from public choice literature, while aristocratic civil wars can be regarded as anarchy, and the monopoly of violence by the state as Leviathan, duel of honor is an orderly anarchy. The sudden or gradual withering of duel of honor as an institution marks the transition to the monopoly of violence by the state in Europe. In this paper, we endeavor to capture this transition by introducing a computational model where a simulated agent considers three sets of factors to make its dueling decision: 1) its own characteristics such as dueling skill; 2) its identity such as the reaction received from other members of its own social group; and finally 3) the reaction of the authority such as the possible punishment that could be inflicted by the state against dueler. These factors then interact through a dynamic utility function affected by both optimization and learning processes. The results of our agent-based computational model which are validated against the historical evidence from England, France, and Germany show that a complex, aggregative historical process may be consistently explained on the basis of rational choice of heterogeneous individual agents conditioned by their group identity and authority (organizational) influence

    Why might climate change not cause conflict? an agent-based computational response

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    In this paper, we first briefly review the recent literature on climate change, resource scarcity and conflict. This is then followed by introducing an agent based computational model based on the theory of production and conflict which is capable of simulating the dynamics of micro-level resource conflicts. The model considers differences in resource attributes, differentiates between conflict subjects, takes into account bounded rationality, non-linearity and feedback loops, and is enriched by a set of scenarios ranging between mild to severe resource shocks. Our results show that agents tend not to get engage in conflict during mild resource scarcity scenarios as they adapt to the changes and since the decreases in returns to resource predation and increases in their protective practices act as negative feedback loops, discouraging resource predators from allocating further effort to predation. The model results also show that scarcity is more likely to encourage product predation rather than resource predation among the agents

    Dynamics of effort allocation and evolution of trust: an agent-based model

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    Trust is a dynamic and complex phenomenon and understanding the factors which affect its formation, evolution and disappearance is a critical research issue. It has been shown that trust plays a key role in how human and social capital develop, how economies grow and how societies progress. In this paper, we present an agent-based model of the relations between a dynamic effort allocation system, an evolving trust framework and a reputation module to study how changes in micro-level rent-seeking traits and decisions can shape the emergence of trust across the simulated environment. According to our results, variations in trust are correlated more with the returns to being productive, rather than rent-seeking. In line with previous studies, our model shows that higher than average levels of risk-taking by agents lead to further trust and gains during an interaction, though taken to an extreme, both trust and gain can decline as a result of reckless decisions. We also report on the formation of trust clusters in our model as an emergent phenomenon

    Dueling for honor and identity economics

    Get PDF
    Dueling is one of the best indicators of political transition from anarchy to order. This paper explores the dynamics of dueling for honor as a social institution in England, France, and Germany. It identifies major differences regarding the frequency, duration, and nature of dueling. Although dueling for honor emerged as a self-organizing and self-regulatory collective action of the aristocracy in crisis, it transformed into a middle class institution in France and Germany. However, this institution suddenly ended in England around 1850. In this study, we will follow a cognitive version of identity economics to explain the emergence of this institution, and its divergent trajectories in these countries in terms of identity choice. We will argue that while dueling is an identity investment, it might have different values according to its diverse social meanings. We will show that different social meanings that were attached to dueling in England, France and Germany gave rise to different values in identity investment, and led to different results in enhancing social identities

    Dynamics of effort allocation and evolution of trust: an agent-based model

    Get PDF
    Trust is a dynamic and complex phenomenon and understanding the factors which affect its formation, evolution and disappearance is a critical research issue. It has been shown that trust plays a key role in how human and social capital develop, how economies grow and how societies progress. In this paper, we present an agent-based model of the relations between a dynamic effort allocation system, an evolving trust framework and a reputation module to study how changes in micro-level rent-seeking traits and decisions can shape the emergence of trust across the simulated environment. According to our results, variations in trust are correlated more with the returns to being productive, rather than rent-seeking. In line with previous studies, our model shows that higher than average levels of risk-taking by agents lead to further trust and gains during an interaction, though taken to an extreme, both trust and gain can decline as a result of reckless decisions. We also report on the formation of trust clusters in our model as an emergent phenomenon

    Why might climate change not cause conflict? an agent-based computational response

    Get PDF
    In this paper, we first briefly review the recent literature on climate change, resource scarcity and conflict. This is then followed by introducing an agent based computational model based on the theory of production and conflict which is capable of simulating the dynamics of micro-level resource conflicts. The model considers differences in resource attributes, differentiates between conflict subjects, takes into account bounded rationality, non-linearity and feedback loops, and is enriched by a set of scenarios ranging between mild to severe resource shocks. Our results show that agents tend not to get engage in conflict during mild resource scarcity scenarios as they adapt to the changes and since the decreases in returns to resource predation and increases in their protective practices act as negative feedback loops, discouraging resource predators from allocating further effort to predation. The model results also show that scarcity is more likely to encourage product predation rather than resource predation among the agents

    Agent-based modelling of sustainable development in a changing climate: a security perspective

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    Climate change is one of the greatest challenges humanity is facing today. Numerous international reports and peer-reviewed studies have warned how vulnerable humans are, among other inhabitants of the planet, to the various adverse impacts of climate change. Chapter 1 of this thesis briefly reviews the main processes and consequences of climate change and how it is likely to affect the sustainable socio-economic development of human societies, especially through hindering security. The reasons for focusing on conflict and migration are discussed, and agent-based modelling is introduced as an appropriate approach for modelling their dynamics under different scenarios. Chapter 2, focuses on climate change and conflict attempting to provide new perspectives on a challenging debate in this area, and to address critical questions such as: Why might climate change not cause conflict and when it does, why might it not be as intense as theoretically expected? Using a generic theoretical model, the chapter investigates the circumstances in which a scarcity of resources, such as land and water, may motivate individuals to prefer predatory, conflict-inducing behaviour, to productive behaviour. The model results, which are categorized based on different types of resources, different types of resource degradation scenarios and different socio-economic structures, are compared against available data for a selected group of African countries. Chapter 3 focuses on internal migration in Bangladesh, investigating how population distribution is likely to change by 2050 based on climatic projections for the country. The chapter presents an agent-based model enriched by environmental, social and economic data from Bangladesh. The model is capable of simulating internal migrations across the country. The results, which are validated against available observations over the decade ending in 2011, predict further population shifts towards the eastern districts due to both economic and climatic push and pull factors. The thesis concludes in Chapter 4 by reviewing the main findings and providing suggestions for future research in this area
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