85 research outputs found

    Adaptive behaviour through morphological plasticity in natural and artificial systems.

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    Our concept of intelligence is changing. Embodiment has led to the rise of morphologies in Artificial Intelligence (AI) research. This thesis focuses on two research questions: 1) How can system morphologies, well-adapted to changing environments, be designed? 2) How can adaptive behaviour be generated through morphology? It is the fundamental argument of this thesis that morphological plasticity (MP), the environmentally induced variation in growth or development, can provide a solution to both questions. Specifically, this thesis is based around a detailed study of diatom valve morphogenesis. Diatoms, a unicellular organism, construct intricate siliceous structures (valves) around themselves which exhibit high plasticity to the environment. Diatom valve morphogenesis is a good example of how morphologies can be well-adapted to changing environments, an open problem in AI, and how adaptive behaviour can be generated through morphological processes alone. Through a constructivist approach this thesis contributes to both understanding of MP in natural systems and the design of MP algorithms for artificial adaptive systems. Several original models and frameworks are defined within this thesis: the Nature's Batik Model of basic diatom valve morphogenesis the Cellanimat, a 'Dynamic Morphology' based on the unicell, capable of MP driven adaptive behaviour through its unique 'Artificial Cytoskeleton' model of cytoskeletal dynamics the Environment-Phenotype Map framework and the Cellanimat Colony Model, which combines all previous models for the investigation of MP mechanisms during diatom colony formation. Cellanimat dynamics and optimization are thoroughly investigated and the model is shown to be multi functional, evolvable, scalable and reasonably robust

    Architecting system of systems: artificial life analysis of financial market behavior

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    This research study focuses on developing a framework that can be utilized by system architects to understand the emergent behavior of system architectures. The objective is to design a framework that is modular and flexible in providing different ways of modeling sub-systems of System of Systems. At the same time, the framework should capture the adaptive behavior of the system since evolution is one of the key characteristics of System of Systems. Another objective is to design the framework so that humans can be incorporated into the analysis. The framework should help system architects understand the behavior as well as promoters or inhibitors of change in human systems. Computational intelligence tools have been successfully used in analysis of Complex Adaptive Systems. Since a System of Systems is a collection of Complex Adaptive Systems, a framework utilizing combination of these tools can be developed. Financial markets are selected to demonstrate the various architectures developed from the analysis framework --Introduction, page 3

    Sounding the reef: comparative acoustemologies of underwater noise pollution / Pejling af revet: komparativ akustemologi af undersøisk støjforurening

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    Matthew Buttacavoli studied the development and detection of the category of underwater noise pollution in the Great Barrier Reef. He examined the phenomenon using a multi-species ethnographic approach. He found that bodily affordances and species’ boundaries that make sensing underwater noise difficult, can be overcome through technology and skilled practice. [Extract from Danish abstract] Denne afhandling vælger en etnografisk strategi til at undersøge, hvordan interesserede lyttere forsøger at opfatte og rekonstruere det akustiske havmiljø. Observation og interviews af deltagere sættes sammen med optagelse og kreative metoder for at kortlægge de (ufuldkomne) måder, hvorpå lyttere (herunder forfatteren) forsøger at forstå havskabningers lydverdener. I fokus er de lyttemetoder, der blev udviklet af dykkere, havforskere, akustikere og interesseorganisationer

    Nectar of the Bots: Evolving Bidirectional Referential Communication

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    What is the type-1/type-2 distinction?

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    Clark & Thornton's type-1/2 distinction is not well-defined. The classes of type-1 and type-2 problems are too broad: many noncomputable functions are type-1 and type-2 learnable. They are also too narrow: trivial functions, such as identity, are neither type-1 nor type-2 learnable. Moreover, the scope of type-1 and type-2 problems appears to be equivalent. Overall, this distinction does not appear useful for machine learning or cognitive science

    Sound Theaters of the 21st Century: Material Functions and Voltaic Performativities

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    Reading the Market

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    Americans pay famously close attention to "the market," obsessively watching trends, patterns, and swings and looking for clues in every fluctuation. In Reading the Market, Peter Knight explores the Gilded Age origins and development of this peculiar interest. He tracks the historic shift in market operations from local to national while examining how present-day ideas about the nature of markets are tied to past genres of financial representation.Drawing on the late nineteenth-century explosion of art, literature, and media, which sought to dramatize the workings of the stock market for a wide audience, Knight shows how ordinary Americans became both emotionally and financially invested in the market. He analyzes popular investment manuals, brokers’ newsletters, newspaper columns, magazine articles, illustrations, and cartoons. He also introduces readers to fiction featuring financial tricksters, which was characterized by themes of personal trust and insider information. The book reveals how the popular culture of the period shaped the very idea of the market as a self-regulating mechanism by making the impersonal abstractions of high finance personal and concrete.From the rise of ticker-tape technology to the development of conspiracy theories, Reading the Market argues that commentary on the Stock Exchange between 1870 and 1915 changed how Americans understood finance—and explains what our pervasive interest in Wall Street says about us now
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