Computational Model Library

The model measures drivers of effectiveness of risk assessments in risk workshops regarding the correctness and required time. Specifically, we model the limits to information transfer, incomplete discussions, group characteristics, and interaction patterns and investigate their effect on risk assessment in risk workshops.

The model simulates a discussion in the context of a risk workshop with 9 participants. The participants use Bayesian networks to assess a given risk individually and as a group.

Team Cognition

Iris Lorscheid | Published Sun May 23 14:25:17 2021

The teamCognition model investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. The agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions.

Demand planning requires processing of distributed information. In this process, individuals, their properties and interactions play a crucial role. This model is a computational testbed to investigate these aspects with respect to forecast accuracy.

Multistate modeling extended by behavioral rules

Anna Klabunde Sabine Zinn Frans Willekens Matthias Leuchter | Published Wed Aug 3 20:19:13 2016 | Last modified Tue Mar 13 08:44:24 2018

Toolkit to specify demographic multistate model with a behavioural element linking intentions to behaviour

SimPLS - The PLS Agent

Iris Lorscheid Sandra Schubring Matthias Meyer Christian Ringle | Published Mon Apr 18 09:50:36 2016 | Last modified Tue May 17 11:35:16 2016

The simulation model SimPLS shows an application of the PLS agent concept, using SEM as empirical basis for the definition of agent architectures. The simulation model implements the PLS path model TAM about the decision of using innovative products.

The simulation model LAMDA investigates the influences of varying cognitive abilities of the decision maker on the truth-inducing effect of the Groves mechanism. Bounded rationality concepts are represented by information states and learning models.

This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France

A Generic Java Learning Classifier Library

Klaus Hufschlag | Published Fri Apr 9 09:24:12 2010 | Last modified Thu Feb 23 17:21:24 2017

Complete Library for object oriented development of Classifier Systems. See for the concept behind.

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