Alle Publikationen
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2016
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(2016): Why (and how) should we study the interplay between emotional arousal, Theory of Mind, and inhibitory control to understand moral cognition?. In: Psychonomic bulletin & review 23 (6), S. 1660-1680. DOI: 10.3758/s13423-016-1042-5
DOI: https://doi.org/10.3758/s13423-016-1042-5 Abstract: Findings in the field of experimental psychology and cognitive neuroscience have shed new light on our understanding of the psychological and biological bases of morality. Although a lot of attention has been devoted to understanding the processes that underlie complex moral dilemmas, attempts to represent the way in which individuals generate moral judgments when processing basic harmful actions are rare. Here, we will outline a model of morality which proposes that the evaluation of basic harmful actions relies on complex interactions between emotional arousal, Theory of Mind (ToM) capacities, and inhibitory control resources. This model makes clear predictions regarding the cognitive processes underlying the development of and ability to generate moral judgments. We draw on data from developmental and cognitive psychology, cognitive neuroscience, and psychopathology research to evaluate the model and propose several conceptual and methodological improvements that are needed to further advance our understanding of moral cognition and its development. zitiert von 12
Keywords: Causality, Emotional Control, Emotions, Empathy, Executive Function, Humans, Inhibition (Psychology), Intention Medical Subject Headings (MeSH): Arousal, Kognitionswissenschaften, Moral, Morality, Morals, Neurowissenschaften, Response Inhibition, Social Perception, theory of mind, Thinking 2015
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(2015): From honeybees to robots and back. Division of labour based on partitioning social inhibition. In: Bioinspiration & biomimetics 10 (6). DOI: 10.1088/1748-3190/10/6/066005
DOI: http://www.ncbi.nlm.nih.gov/pubmed/26501169 Abstract: In this paper, a distributed adaptive partitioning algorithm inspired by division of labor in honeybees is investigated for its applicability in a swarm of underwater robots in one hand and is qualitatively compared with the behavior of honeybee colonies on the other hand. The algorithm, partitioning social inhibition (PSI), is based on local interactions and uses a simple logic inspired from age-polyethism and task allocation in honeybee colonies. The algorithm is analyzed in simulation and is successfully applied here to partition a swarm of underwater robots into groups demonstrating its adaptivity to changes and applicability in real world systems. In a turn towards the inspiration origins of the algorithm, three honeybee colonies are then studied for age-polyethism behaviors and the results are contrasted with a simulated swarm running the PSI algorithm. Similar effects are detected in both the biological and simulated swarms suggesting biological plausibility of the mechanisms employed by the artificial system.
Keywords: Algorithms, Animal Machine, Animals, Bees/physiology, Behavior, Animal/physiology, Biomimetics/instrumentation/methods, Cooperative Behavior, Equipment Design, Equipment Failure Analysis, Feeding Behavior/physiology, Inhibition (Psychology), interdisziplinär, Partitioning Social Inhibition (PSI), Robotics/instrumentation/methods, Social Behavior
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