Computational Model Library

Displaying 10 of 866 results for "George Ak Van Voorn" clear search

Hominin ecodynamics v.2

C Michael Barton | Published Monday, September 19, 2011 | Last modified Friday, March 28, 2014

Simulates biobehavioral interactions between 2 populations of hominins.

Peer reviewed Hominin ecodynamics v.1

C Michael Barton | Published Saturday, October 01, 2011 | Last modified Friday, March 28, 2014

Biobehavioral interactions between two populations under different movement strategies.

Intra-Organizational Bandwagon

Davide Secchi | Published Sunday, October 18, 2015

The model simulates the process of widespread diffusion of something due to popularity (i.e., bandwagon) within an organization.

If you have any questions about the model run, please send me an email and I will respond as soon as possible.
Under complex system perspectives, we build the multi-agent system to back-calculate this unification process of the Warring State period, from 32 states in 475 BC to 1 state (Qin) in 221 BC.

EthnoCultural Tag model (ECT)

David Hales Bruce Edmonds | Published Friday, October 16, 2015 | Last modified Wednesday, May 09, 2018

Captures interplay between fixed ethnic markers and culturally evolved tags in the evolution of cooperation and ethnocentrism. Agents evolve cultural tags, behavioural game strategies and in-group definitions. Ethnic markers are fixed.

A Model to Unravel the Complexity of Rural Food Security

Samantha Dobbie Stefano Balbi | Published Monday, August 22, 2016 | Last modified Sunday, December 02, 2018

An ABM to simulate the behaviour of households within a village and observe the emerging properties of the system in terms of food security. The model quantifies food availability, access, utilisation and stability.

This is a stylized model based on Alonso’s model investigating the relationship between urban sprawl and income segregation.

Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.

This research article presents an agent-based simulation hereinafter called COMMONSIM. It builds on COMMONISM, i.e. a large-scale commons-based vision for a utopian society. In this society, production and distribution of means are not coordinated via markets, exchange, and money, or a central polity, but via bottom-up signalling and polycentric networks, i.e. ex-ante coordination via needs. Heterogeneous agents care for each other in life groups and produce in different groups care, environmental as well as intermediate and final means to satisfy sensual-vital needs. Productive needs decide on the magnitude of activity in groups for a common interest, e.g. the production of means in a multi-sectoral artificial economy. Agents share cultural traits identified by different behaviour: a propensity for egoism, leisure, environmentalism, and productivity. The narrative of this utopian society follows principles of critical psychology and sociology, complexity and evolution, the theory of commons, and critical political economy. The article presents the utopia and an agent-based study of it, with emphasis on culture-dependent allocation mechanisms and their social and economic implications for agents and groups.

Within the archeological record for Bronze Age Chinese culture, there continues to be a gap in our understanding of the sudden rise of the Erlitou State from the previous late Longshan chiefdoms. In order to examine this period, I developed and used an agent-based model (ABM) to explore possible socio-politically relevant hypotheses for the gap between the demise of the late Longshan cultures and rise of the first state level society in East Asia. I tested land use strategy making and collective action in response to drought and flooding scenarios, the two plausible environmental hazards at that time. The model results show cases of emergent behavior where an increase in social complexity could have been experienced if a catastrophic event occurred while the population was sufficiently prepared for a different catastrophe, suggesting a plausible lead for future research into determining the life of the time period.

The ABM published here was originally developed in 2016 and its results published in the Proceedings of the 2017 Winter Simulation Conference.

Displaying 10 of 866 results for "George Ak Van Voorn" clear search

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