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Intelligent agents (Computer software) --- Human-computer interaction

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Intelligent agents (Computer software) --- Spectrum analysis. --- Frequency spectra.

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Automatic data collection systems --- Intelligent agents (Computer software) --- Computer systems --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure

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Matthias Müller makes a case for the particular role of the demand side in research on innovation. Based on a complex agent-based simulation model, he analyzes the versatile mutual relationships between consumers and producers within the innovation process. Instead of oversimplifying the demand side, the book aims to apply important aspects which too often are only applied to the supply side, e.g., the heterogeneity and bounded rationality of economic actors embedded in networks. The results offer a new perspective on the innovation process, proving that the demand side and consumers are important drivers of innovation, which must be included in future research for a full picture. Contents The Role of Consumers in Innovation Economics Evolutionary Economics The New Agent-Based Paradigm in Economics An ABM of Heterogeneous Consumers and Demand Consumer Networks Bounded Morality of Consumers Target Groups Researchers and students in the fields of innovation economics, evolutionary economics, complexity science, and computer simulation Policy making, public administration, and innovation management The Author Matthias Müller conducted his doctoral research at the University of Hohenheim, Germany. He currently works as a postdoctoral researcher in the field of innovation economics.

Social sciences. --- Social Sciences. --- Computational Social Sciences. --- Methodology of the Social Sciences. --- Demand (Economic theory) --- Multiagent systems. --- Computer simulation. --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software) --- Supply and demand --- Production (Economic theory) --- Social sciences—Data processing. --- Social sciences—Computer programs. --- Social sciences --- Methodology. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization

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This volume highlights new trends and challenges in research on agents and the new digital and knowledge economy, and includes 23 papers classified into the following categories: business process management, agent-based modeling and simulation, and anthropic-oriented computing. All papers were originally presented at the 11th International KES Conference on Agents and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2017) held June 21–23, 2017 in Vilamoura, Algarve, Portugal. Today’s economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, and often intrude on the territory of other industries by providing new ways of conducting business operations and creating value for customers and companies. The topics covered in this volume include software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, etc., all of which contribute to the modern Digital Economy. The results presented here will be of theoretical and practical value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, the new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.

Intelligent agents (Computer software) --- Distributed artificial intelligence --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Construction --- Industrial arts --- Technology --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial Intelligence.