Alle Publikationen
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2017
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(2017): How can the study of action kinematics inform our understanding of human social interaction?. In: Neuropsychologia 105, S. 101-110. DOI: 10.1016/j.neuropsychologia.2017.01.018
DOI: http://www.ncbi.nlm.nih.gov/pubmed/28119002 Abstract: The kinematics of human actions are influenced by the social context in which they are performed. Motion-capture technology has allowed researchers to build up a detailed and complex picture of how action kinematics vary across different social contexts. Here we review three task domains-point-to-point imitation tasks, motor interference tasks and reach-to-grasp tasks-to critically evaluate how these tasks can inform our understanding of social interactions. First, we consider how actions within these task domains are performed in a non-social context, before highlighting how a plethora of social cues can perturb the baseline kinematics. We show that there is considerable overlap in the findings from these different tasks domains but also highlight the inconsistencies in the literature and the possible reasons for this. Specifically, we draw attention to the pitfalls of dealing with rich, kinematic data. As a way to avoid these pitfalls, we call for greater standardisation and clarity in the reporting of kinematic measures and suggest the field would benefit from a move towards more naturalistic tasks.
Keywords: Favoriten, Imitation, Interaktion, interference of social interaction, Kinematics, kinematics and social interaction, Kinematik, kinematische Dimension, Kontext, Körperbewegungen / Kinematik, Modelle/Theorien, Motor, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social, social interaction, Soziale Angemessenheit 2016
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(2016): Towards a Computational Comparative Neuroprimatology. Framing the language-ready brain. In: PHYSICS OF LIFE REVIEWS 16, S. 1-54. DOI: 10.1016/j.plrev.2015.09.003
DOI: http://www.ncbi.nlm.nih.gov/pubmed/26482863 Abstract: We make the case for developing a Computational Comparative Neuroprimatology to inform the analysis of the function and evolution of the human brain. First, we update the mirror system hypothesis on the evolution of the language-ready brain by (i) modeling action and action recognition and opportunistic scheduling of macaque brains to hypothesize the nature of the last common ancestor of macaque and human (LCA-m); and then we (ii) introduce dynamic brain modeling to show how apes could acquire gesture through ontogenetic ritualization, hypothesizing the nature of evolution from LCA-m to the last common ancestor of chimpanzee and human (LCA-c). We then (iii) hypothesize the role of imitation, pantomime, protosign and protospeech in biological and cultural evolution from LCA-c to Homo sapiens with a language-ready brain. Second, we suggest how cultural evolution in Homo sapiens led from protolanguages to full languages with grammar and compositional semantics. Third, we assess the similarities and differences between the dorsal and ventral streams in audition and vision as the basis for presenting and comparing two models of language processing in the human brain: A model of (i) the auditory dorsal and ventral streams in sentence comprehension; and (ii) the visual dorsal and ventral streams in defining "what language is about" in both production and perception of utterances related to visual scenes provide the basis for (iii) a first step towards a synthesis and a look at challenges for further research.
Keywords: Animals, Ape gesture, Auditive Faktoren, Biological Evolution, Computational Biology, Cultural evolution, Dorsal and ventral stream, dorsale und ventrale Ströme, Dyadic brain modeling, dynamic brain modelling, Evolution, Gehirnfunktion, Grammatik, Humans, Im (wissenschaftlichen) Diskurs, Imitation, Intellektualtechnik, Kogn. Architektur, kognitive Architekturen, Kognitive Skills/Social Cognition, Kompositionale Semantik, Künstliche Intelligenz, Language, Language evolution, language-ready brain, Mensch-Technik-Relationen (MTR), Models, Neurological, Ontologische Differenzierungen: Tier, Mensch, Maschine, Pantomime, Primates, Protosprachen, Psychomotor Performance, Realtechnik, Reflexionen über MTR, sprachbereites Gehirn, Sprache, Sprachevolution, Sprachfähigkeit, Sprachverstehen, Technik, Tier, Mensch, Maschine, Tier-Mensch-Vergleich, Vollsprachigkeit (vs. Protosprachigkeit) -
(2016) : Social Learning and Behavior Transmission☆ In: Stein, John: Reference module in neuroscience and biobehavioral psychology: Place of publication not identified: Elsevier
Abstract: One way of acquiring behavior is by genetic transmission, but this method is not always the most advantageous one. Social learning allows individuals to acquire new information and adapt to environmental changes. The most common behaviors that are learned socially involve food acquisition, subsistence activities, mate-choice, and predator avoidance, all of which have direct survival benefits; whereas other behaviors such as body care, communication signals, and tool-use techniques have less direct benefits and, in some cases, no apparent benefit at all. Cultural variants between populations reflect these socially transmitted behaviors, and differences between how each species learns socially reflect the many ways in which individuals learn from one another. These differences are found in the types of mechanisms involved in social learning, and have been the focus of much of the research on social learning and behavior transmission in animals.
2002
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(2002): Robots that imitate humans. In: Trends in cognitive sciences 6 (11), S. 481-487. DOI: 10.1016/S1364-6613(02)02016-8
DOI: https://doi.org/10.1016/S1364-6613(02)02016-8 Abstract: The study of social learning in robotics has been motivated by both scientific interest in the learning process and practical desires to produce machines that are useful, flexible, and easy to use. In this review, we introduce the social and task-oriented aspects of robot imitation. We focus on methodologies for addressing two fundamental problems. First, how does the robot know what to imitate? And second, how does the robot map that perception onto its own action repertoire to replicate it? In the future, programming humanoid robots to perform new tasks might be as simple as showing them.
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Dautenhahn, Kerstin; Nehaniv, Chrystopher L. (Hg.) (2002): Imitation in animals and artifacts. Symposium "Imitation in animals and artifacts". Cambridge, Mass: MIT Press ("A Bradford book.")
1995
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(1995): Getting to know each other—Artificial social intelligence for autonomous robots. In: Robotics and Autonomous Systems 16 (2), S. 333-356. DOI: 10.1016/0921-8890(95)00054-2
DOI: https://doi.org/10.1016/0921-8890(95)00054-2 Abstract: This paper proposes a research direction to study the development of ‘artificial social intelligence’ of autonomous robots which should result in ‘individualized robot societies’. The approach is highly inspired by the ‘social intelligence hypothesis’, derived from the investigation of primate societies, suggesting that primate intelligence originally evolved to solve social problems and was only later extended to problems outside the social domain. We suggest that it might be a general principle in the evolution of intelligence, applicable to both natural and artificial systems. Arguments are presented why the investigation of social intelligence for artifacts is not only an interesting research issue for the study of biological principles, but may be a necessary prerequisite for those scenarios in which autonomous robots are integrated into human societies, interacting and communicating both with humans and with each other. As a starting point to study experimentally the development of robots' ‘social relationships’, the investigation of collection and use of body images by means of imitation is proposed. A specific experimental setup which we use to test the theoretical considerations is described. The paper outlines in what kind of applications and for what kind of robot group structures social intelligence might be advantageous.
1979
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Bandura, Albert; Verres, Rolf; Kober, Hainer (Hg.) (1979): Sozial-kognitive Lerntheorie. 1. Aufl.. Stuttgart: Klett-Cotta (Konzepte der Humanwissenschaften)
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