Alle Publikationen
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2010
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(2010): Artificial societies of intelligent agents. Virtual experiments of individual and social behavior. Saarbrücken: Lambert Academic Publishing
Abstract: In this book we use artificial societies to understand and simulate adaptive behaviour and social processes. We obtain this in three parallel ways: First, we present a behaviours production system capable of reproducing a high number of properties of adaptive behaviour and of exhibiting emergent lower cognition. Second, we introduce a simple model for social action, obtaining emergent complex social processes from simple interactions of imitation and induction of behaviours in agents. And third, we present our approximation to a behaviours virtual laboratory, integrating our behaviours production system and our social action model in virtual animats. Before presenting our proposals, we make an introduction to artificial intelligence and behaviour-based systems, and also we give notions of complex systems and artificial societies. Finally, we discuss about the role of adaptive behaviour for understanding cognition and its evolution.
Keywords: Artificial society, behaviour, Cognition, collective misbelief, engeneering, Favoriten, Gruppenverhalten / Joint Action, imitation of behaviour, intelligent agents, Kognitionswissenschaft/Social Sciences/Humanities, komplexe Systeme, Künstliche Intelligenz, Mensch-Technik-Relationen (MTR), Modelle/Theorien, Realtechnik, Reflexionen über MTR, social emergence, Social Simulation, Soziosensitive Systeme, Technik, Technikphilosophie 2008
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(2008): Dynamic phenomena and human activity in an artificial society. In: Physical review. E, Statistical, nonlinear, and soft matter physics 78 (6 Pt 2). DOI: 10.1103/PhysRevE.78.066110
DOI: http://www.ncbi.nlm.nih.gov/pubmed/19256908 Abstract: We study dynamic phenomena in a large social network of nearly 3x10;{4} individuals who interact in the large virtual world of a massive multiplayer online role playing game. On the basis of a database received from the online game server, we examine the structure of the friendship network and human dynamics. To investigate the relation between networks of acquaintances in virtual and real worlds, we carried out a survey among the players. We show that, even though the virtual network did not develop as a growing graph of an underlying network of social acquaintances in the real world, it influences it. Furthermore we find very interesting scaling laws concerning human dynamics. Our research shows how long people are interested in a single task and how much time they devote to it. Surprisingly, exponent values in both cases are close to -1 . We calculate the activity of individuals, i.e., the relative time daily devoted to interactions with others in the artificial society. Our research shows that the distribution of activity is not uniform and is highly correlated with the degree of the node, and that such human activity has a significant influence on dynamic phenomena, e.g., epidemic spreading and rumor propagation, in complex networks. We find that spreading is accelerated (an epidemic) or decelerated (a rumor) as a result of superspreaders' various behavior.
Keywords: Artificial society, complex networks, Computerspielwissenschaft, degree of acquaintance, dissemination, dynamic systems theory, Favoriten, gaming, Mensch-Technik-Relationen (MTR), Modelle/Theorien, multiplayer role online game, Netzwerktheorien, real world vs. virtual world, Realtechnik, rumor, spreading, SV, Technik
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