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PPT демо курс Semiotics of agents A Missing Link: The Role of Semiotics in Multiagent Enviroments (2001) (Make Corrections) Библиография ссылок и обсуждение Abstract: Approaches to artificial intelligence research based on autonomous agents have thus far primarily relied on cognitive science and other psychologically motivated approaches to the social world. These approaches have been a logical outcome of the researchers' concentration on agent building. However, recent developments in the field have revealed the need for a wider and primarily socially centered interpretive framework in which to account for or model the agents' behavior. Dautenhahn's ... (Update) Active bibliography (related documents): More All 1.0: A Semiotic Communication Model for Interface Design - Raffaella Scalisi Phd (2001) (Correct) 0.5: Rationality: Perfect, Absent, or Bounded? - Salah (Correct) 0.5: The Black Sheep - Interactive Improvisation in a 3D Virtual World - Klesen (2000) (Correct) Similar documents based on text: More All 0.3: Enumerating Up-Side Self-Avoiding Walks on Integer Lattices - Williams (1996) (Correct) 0.3: Self-Organization in Multiagent Systems: From.. - Schillo, Fley.. (2002) (Correct) 0.2: MDL, Collineations and the Fundamental Matrix - Maybank And Sturm (1999) (Correct) BibTeX entry: (Update) A Missing Link: The Role of Semiotics in Multiagent Enviroments Сама статья Welcome to A First Look at Communication Theory This site is designed primarily as a companion to A First Look at Communication Theory by Em Griffin and the Instructor's Manual by Glen McClish and Jacqueline "Jackie" Bacon. On the left side of the site are links to resource materials for the texts and a description of Conversations with Communication Theorists, a video of interviews that Em conducted with the authors of a number of theories featured in the book. Selected Self-Organization and the Semiotics of Evolutionary Systems Abstract: In this paper I sketch a rough taxonomy of self-organization which may be of relevance in the study of cognitive and biological systems. I frame the problem both in terms of the language of second- order cybernetics as well as the language of current theories of self-organization and complexity. The goal of establishing such a taxonomy is to allow for a classification of different tools used both in Artificial Intelligence and Artificial Life, so that different aspects of cognitive and biological systems may be incorporated in more accurate models of such systems. In particular, I defend, on the one hand, that self-organization alone is not rich enough for our intended simulations, and on the other, that genetic selection in biology and symbolic representation in cognitive science alone leave out the very important (self-organizing) characteristics of particular embodiments of evolving and learning systems. Имена, гадания Вульгарная семиотика То же но еще хуже Руны, нумерология .... Так массы представляют себе семиотику - это о трех последних ссылках |
