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ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms.[During the 20th century, the world experienced an unprecedented rise in people’s cognitive abilities. IQs increased 30 points (with the average IQ remaining 100 only because publishers reset the “average” on their tests). Yet, society’s ability to confront serious problems in the world seems as challenged as ever. Problems such as air pollution, global climate change, increasing disparity of incomes, disputes that never seem to move toward resolution (such as between the Israelis and Palestinians), and increasing antibiotic resistance—all of these and many other problems seem to defy us, despite our elevated IQs. Why are there so many serious problems still confronting the world? Why is IQ insufficient for solving serious problems where differences in people’s interests are at stake? How can intelligence, broadly defined, help us to create a better world and solve the seemingly intractable problems the world confronts? The essays in this book address these questions and provide some directions for answers.
intelligence --- practical intelligence --- creativity --- wisdom
Book title: Mensch - Natur - Technik
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This open access book summarizes research being pursued within the Manutelligence project, the goal of which is to help enterprises develop smart, social and flexible products with high value added services. Manutelligence has improved Product and Service Design by developing suitable models and methods, and connecting them through a modular, collaborative and secure ICT Platform. The use of real data collected in real time by Internet of Things (IoT) technologies underpins the design of product-service systems and makes it possible to monitor them throughout their life cycle. Available data allows costs and sustainability issues to be more accurately measured and simulated in the form of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Analysing data from IoT systems and sharing LCC and LCA information via the ICT Platform can help to accelerate the design of product-service systems, reduce costs and better understand customer needs. Industrial partners involved in Manutelligence provide a clear overview of the project’s outcomes, and demonstrate how its technological solutions can be used to improve the design of product-service systems and the management of product-service life cycles.
Engineering --- Manufactures --- Computational intelligence --- Artificial intelligence --- Service industries
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One of the hardest problems in science is the symbol grounding problem, a question that has intrigued philosophers and linguists for more than a century. With the rise of artificial intelligence, the question has become very actual, especially within the field of robotics. The problem is that an agent, be it a robot or a human, perceives the world in analogue signals. Yet humans have the ability to categorise the world in symbols that they, for instance, may use for language. This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon about the objects that they can detect in their world. Crucially, neither the lexicon nor the ontology of the robots has been preprogrammed, so the experiments demonstrate how a population of embodied language users can develop their own vocabularies from scratch.
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This article describes the police intelligence division-of-labour. It is argued that police organisation gains overall coherence in relation to the ‘police métier’; a rationale that allows protagonists in the police world to make sense of an irrational workplace structure where personal loyalty, trust and honour (not formal organisational logic) form the basis of action and compliance. The concept of the police métier is defined in terms of the police professional concern with the mastery of surveillance and coercion in the reproduction of order, the making of crime and the governance of insecurity, and it is the polestar of the police mindset. The article describes the police intelligence division-of-labour paying specific attention to four different aspects of intelligence activity: the acquisition of intelligence or information; the analysis of information in the production of intelligence; tasking and co-ordination on the basis of intelligence ‘product’; or being tasked on that same basis. The descriptive analysis presented here is useful in several respects. Firstly it provides a basis for the comparative study of police intelligence work and its configuration within broader processes of security governance. Secondly, it provides a prototypical organisational map useful understanding the orientation of particular units – the organisational elements of policework (e.g. of drug squads, primary response, public order and homicide investigation units) – within the broader police division-of-labour. Lastly, it provides a complex view of issues concerning democratic governance of ‘the police’ as they are configured as nodes within broader networks of security governance.
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This book presents a major leap forward in the understanding of colour by showing how richer descriptions of colour samples can be operationalized in agent-based models. Four different language strategies are explored: the basic colour strategy, the graded membership strategy, the category combination strategy and the basic modification strategy. These strategies are firmly rooted in empirical observations in natural languages, with a focus on compositionality at both the syntactic and semantic level. Through a series of in-depth experiments, this book discerns the impact of the environment, language and embodiment on the formation of basic colour systems. Finally, the experiments demonstrate how language users can invent their own language strategies of increasing complexity by combining primitive cognitive operators, and how these strategies can be aligned between language users through linguistic interactions.
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What does thinking mean in the age of Artificial Intelligence? How is big-scale computation transforming the way our brains function? This collection discusses these pressing questions by looking beyond instrumental rationality. Exploring recent developments as well as examples from the history of cybernetics, the book uncovers the positive role played by errors and traumas in the construction of our contemporary technological minds. With texts by Benjamin Bratton, Orit Halpern, Adrian Lahoud, Jon Lindblom, Catherine Malabou, Reza Negarestani, Luciana Parisi, Matteo Pasquinelli, Ana Teixeira Pinto, Michael Wheeler, Charles Wolfe, and Ben Woodard.
Artificial Intelligence --- Extended Mind --- Speculative Realism
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Dieses Buch systematisiert Ziele, Einsatzszenarien, Vorgehensweisen, Methoden und Anwendungsfelder für eine automatisierte Datenanalyse in der Medizin und Medizintechnik. Es wendet sich hauptsächlich an Doktoranden, Diplom- und Masterstudenten der Ingenieurwissenschaften und Informatik. Im Mittelpunkt steht dabei das Spannungsfeld zwischen medizinischen Anwendern und ihren Zielstellungen sowie den Potenzialen vorhandener Data-Mining-Verfahren.
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Algorithmic identity politics reinstate old forms of social segregation—in a digital world, identity politics is pattern discrimination. It is by recognizing patterns in input data that Artificial Intelligence algorithms create bias and practice racial exclusions thereby inscribing power relations into media. How can we filter information out of data without reinserting racist, sexist, and classist beliefs?
Media Studies --- Artificial Intelligence --- Critical Algorithm Studies
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digitization --- society --- artificial intelligence --- health data --- communication
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