Stefan Kollmann

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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(More)
To examine the impact factors and mechanisms of the decision to switch to green electricity, we develop a socio-cognitive agent-based 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(More)
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 human-like control system are tested using simplified exemplary cases as test-specifications. After showing how we model the required(More)
In a cognitive architecture, decision-making is the task that processes information from sensor data and stored knowledge to get appropriate action plans and actuator commands. Its aim is to make a decision in a given situation based upon available options and current goals of the system. In this paper, the decision-making process of the cognitive(More)
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