Computational Model Library

Displaying 10 of 1176 results

Spatiotemporal Visualization of Emotional and Emotional-related Mental States

Luis Macedo | Published Monday, November 07, 2011 | Last modified Saturday, April 27, 2013

A system that receives from an agent-based social simulation the agent’s emotional data, their emotional-related data such as motivations and beliefs, as well as their location, and visualizes of all this information in a two dimensional map of the geographic region the agents inhabit as well as on graphs along the time dimension.

Interactions between organizations and social networks in common-pool resource governance

Phesi Project | Published Monday, October 29, 2012 | Last modified Saturday, April 27, 2013

Explores how social networks affect implementation of institutional rules in a common pool resource.

Varying effects of connectivity and dispersal on interacting species dynamics

Kehinde Salau | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013

An agent-based model of species interaction on fragmented landscape is developed to address the question, how do population levels of predators and prey react with respect to changes in the patch connectivity as well as changes in the sharpness of threshold dispersal?

ADAM: Agent-based Demand and Assignment Model

D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013

The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.

PR-M: The Peer Review Model

Francisco Grimaldo Mario Paolucci | Published Sunday, November 10, 2013 | Last modified Wednesday, July 01, 2015

This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.

A Multi-Agent Simulation Approach to Farmland Auction Markets

James Nolan | Published Wednesday, June 22, 2011 | Last modified Saturday, April 27, 2013

This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.

Ageing and Spending

Tony Lawson | Published Tuesday, October 06, 2015

How natural population ageing affects UK household spending patterns.

Replication of ECEC model: Environmental Feedback and the Evolution of Cooperation

Pierre Bommel | Published Tuesday, April 05, 2011 | Last modified Saturday, April 27, 2013

The model, presented here, is a re-implementation of the Pepper and Smuts’ model : - Pepper, J.W. and B.B. Smuts. 2000. “The evolution of cooperation in an ecological context: an agent-based model”. Pp. 45-76 in T.A. Kohler and G.J. Gumerman, eds. Dynamics of human and primate societies: agent-based modeling of social and spatial processes. Oxford University Press, Oxford. - Pepper, J.W. and B.B. Smuts. 2002. “Assortment through Environmental Feedback”. American Naturalist, 160: 205-213 […]

ManPraSim: A Management Practice Simulation

peer-olaf_siebers | Published Wednesday, February 23, 2011 | Last modified Saturday, April 27, 2013

This simulation model is associated with the journal paper “A First Approach on Modelling Staff Proactiveness in Retail Simulation Models” to appear in the Journal of Artificial Societies and Social Simulation 14 (2) 2. The authors are Peer-Olaf Siebers ([email protected]) and Uwe Aickelin ([email protected]).

A simulation tool for capability-based team task allocation in emergency-responce environments

Afsaneh Fatemi | Published Wednesday, March 16, 2011 | Last modified Saturday, April 27, 2013

Its a multi agent simulation environment, provided using JADE/Java. It gets the number of agents and tasks, then divides the physical environment to some segments, and then runs a greedy capability-based coalition formation and task allocation algorithm to assign tasks to groups of agents and complete the tasks.

Displaying 10 of 1176 results

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