The academic theses composed in the course of the project (diploma and dissertation theses) can be downloaded on the page “Project Organisation” -> “Former Staff”.


Articles in Beitrag in Tagungsband

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Examination of Foundational AGI-Agents in Artificial-Life Simulations

TypeBeitrag in Tagungsband
AuthorsS. Schaat, S. Kollmann, O. Zhukova, D. Dietrich, K. Doblhammer
Abstract The examination of AGI agents is an
interdisciplinary challenge. This is particularly the case for their
foundations, assumedly (in compliance with Damasio) drives and
emotions. We demonstrate how these foundations of a humanlike
control system are tested using simplified exemplary cases as
test-specifications. After showing how we model the required
functions of the agent´s decision unit, we provide details of the
incremental steps of our examination. As a first step, we use
calibration-specifications, which we concretize with the help of
psychoanalysts and neuroscientists and show how a flexible
parameterization of the model generates expected behavior. This
step enables a deeper model analysis in the second step of our
examination, which corresponds to model exploration and
provides further information for adaptions of the parameters,
model, or assumptions. Overall, this examination methodology
allows for a stepwise model development and examination and
provides the ground for comparing the simulation data with
empirical data, which we plan as a next step.

Interdisciplinary Development and Evaluation of Cognitive Architectures Exemplified with the SiMA Approach

TypeBeitrag in Tagungsband
AuthorsS. Schaat, A. Wendt, S. Kollmann, F. Gelbard, M. Jakubec
Abstract In this paper we show how simple simulation scenarios can be used to develop and test foundational functionalities of cognitive architectures, exemplified with the SiMA architecture. We present an interdisciplinary methodology that considers the challenges in capturing and evaluating basic functionalities of the human mind. In this regard, we structure and concretize assumptions from various disciplines and show how we evaluate their plausibility in a consistent model, using parametrized simulations

Modelling Emotion and Social Norms for Consumer Simulations Exemplified in Social Media

TypeBeitrag in Tagungsband
AuthorsS. Schaat, S. Dickert, E. Geveze, A. Miladinovic, S. Wilker, V. Gruber
Abstract In line with empirical evidence from seminal research, we assume that emotions and social norms play a key role in consumers´ decisions. To this end, we develop a socio-cognitive agent to examine the psychological and sociological factors influencing consumer decision-making. The underlying assumptions are operationalized in a decision model that integrates motivation, emotion, and normative mechanisms using a unified activation and valuation framework. A simulation of prompting other consumers to switch to green electricity via social media demonstrates how the interplay of input parameters, given by the agent´s internal and external environment, memories, and personality determine the agent´s decision by activating and valuating actions. Such simulations enable examining the impact of social media messages on consumer decision.

Emotion in Consumer Simulations for the Development and Testing of Recommendations for Marketing Strategies

TypeBeitrag in Tagungsband
AuthorsS. Schaat, A. Miladinovic, S. Wilker, S. Kollmann, S. Dickert, E. Geveze, V. Gruber
Abstract To examine the impact factors and mechanisms of the decision to
switch to green electricity, we develop a socio-cognitive agentbased
simulation. Following seminal research in the field of
decision making we focus on emotion and social norms as core
mechanisms in consumer decisions. A survey of possible
consumers provides the information how to calibrate the
simulation, by which means a first validation is reached. Further
data analysis supports model validation and exploration. Overall,
this methodology provides the premises of using simulations for
recommending marketing strategies that support the distribution
of environmental-friendly energy providers.

Applying the Methods of Data Mining and Knowledge Engineering to the SiMA Project Data Analysis

TypeBeitrag in Tagungsband
AuthorsD. Dietrich, S. Schaat, M. Jakubec, A. Malakova
Abstract This article is devoted to applying the Data Mining methods to the data analysis, received during the Simulation of the Mental Apparatus and Applications (SiMA) project simulation process. According to the principals of knowledge engineering the ontological knowledge base, containing the results of this analysis, was developed. Special attention is paid to the construction of SWRL rules on the base of developed ontology.

Abstraction Levels for Developing a Model of an Intelligent Decision Unit

TypeBeitrag in Tagungsband
AuthorsD. Dietrich, D. Bruckner, B. Müller, G. Zucker, F. Kupzog

Situation-Depend Behavior in Building Automation

TypeBeitrag in Tagungsband
AuthorsG. Russ, D. Dietrich, C. Tamarit