Computational Model Library

Displaying 10 of 145 results for "Andreas Ihrig" clear search

The Effect of Merger and Acquisitions on the IS Function: An Agent Based Simulation Model

Andrea Genovese | Published Tuesday, June 23, 2009 | Last modified Saturday, April 27, 2013

Merger and acquisition (M&A) activity has many strategic and operational objectives. One operational objective is to develop common and efficient information systems that maybe the source of creating

Agent-based model of sexual partnership

Andrea Knittel | Published Monday, December 05, 2011 | Last modified Saturday, April 27, 2013

In this model agents meet, evaluate one another, decide whether or not to date, if and when to become sexual partners, and when to break up.

The Planned Recycling Behavior model (PRB_1.2)

Andrea Ceschi | Published Monday, January 12, 2015 | Last modified Wednesday, August 08, 2018

A simulation model on planned recycling agent behavior (PRB_1.0) which creates a virtual district with different agent types, waste generation and collection processes.

A Model of Iterated Ultimatum game

Andrea Scalco | Published Tuesday, February 24, 2015 | Last modified Monday, March 09, 2015

The simulation generates two kinds of agents, whose proposals are generated accordingly to their selfish or selfless behaviour. Then, agents compete in order to increase their portfolio playing the ultimatum game with a random-stranger matching.

In order to test how prosocial strategies (compassionate altruism vs. reciprocity) grow over time, we developed an evolutionary simulation model where artificial agents are equipped with different emotionally-based drivers that vary in strength. Evolutionary algorithms mimic the evolutionary selection process by letting the chances of agents conceiving offspring depend on their fitness. Equipping the agents with heritable prosocial strategies allows for a selection of those strategies that result in the highest fitness. Since some prosocial attributes may be more successful than others, an initially heterogeneous population can specialize towards altruism or reciprocity. The success of particular prosocial strategies is also expected to depend on the cultural norms and environmental conditions the agents live in.

Cultural Spread

Salvador Pardo-Gordó Salvador Pardo Gordó | Published Thursday, April 02, 2015 | Last modified Thursday, April 23, 2020

The purpose of the model is to simulate the cultural hitchhiking hypothesis to explore how neutral cultural traits linked with advantageous traits spread together over time

The model is intended to simulate visitor spatial and temporal dynamics, encompassing their numbers, activities, and distribution along a coastline influenced by beach landscape design. Our primary focus is understanding how the spatial distribution of services and recreational facilities (e.g., beach width, entrance location, recreational facilities, parking availability) impacts visitation density. Our focus is not on tracking the precise visitation density but rather on estimating the areas most affected by visitor activity. This comprehension allows for assessing the diverse influences of beach layouts on spatial visitor density and, consequently, on the landscape’s biophysical characteristics (e.g., vegetation, fauna, and sediment features).

The purpose of the model is to examine whether and how mobile pastoralists are able to achieve an Ideal Free Distribution (IFD).

The model explores the emergence of inequality in cognitive and socio-emotional skills at the societal level within and across generations that results from differences in parental investment behavior during childhood and adolescence.

Peer reviewed An Agent-Based Model of Status Construction in Task Focused Groups

André Grow Andreas Flache Rafael Wittek | Published Sunday, May 18, 2014 | Last modified Tuesday, June 16, 2015

The model simulates interactions in small, task focused groups that might lead to the emergence of status beliefs among group members.

Displaying 10 of 145 results for "Andreas Ihrig" clear search

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept