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Computational Models for Social and Technical Interactions

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Artificial intelligence promises to revolutionize our lives, changing the way how we work, think and live. We are witnesses of driverless cars, computer-based diagnose systems, office automatization, industry virtualization, etc.… Click to show full abstract

Artificial intelligence promises to revolutionize our lives, changing the way how we work, think and live. We are witnesses of driverless cars, computer-based diagnose systems, office automatization, industry virtualization, etc. We interact with algorithms for decision support in our daily activities. Typically, these systems used to act in silence. Nowadays, they came to the front pages: DeepBlue won against Kasparov, AlphaGo won the Go world champion, there are robots in Mars, IBM Watson won Jeopardy!, and we are witnessing significant advances in areas such as voice recognition, face recognition, and automatic translation. Over the last years, a new world of small and heterogeneous devices (mobile phones, PDA, GPS devices, intelligent meters, etc.) have emerged. They are equipped with limited computational and communication power, and have the ability to sense, to communicate and to interact over some communication infrastructure. These large scale distributed systems have in many cases to interact in real-time. This is the advent of virtualized worlds that are the basis of Industry 4.0. All these scientific developments make us perceive the world as faster and smaller. We have access, in our hands, to real-time and personalized information available 24 h/day, 7 days/week. There are plenty of innovation opportunities. Nevertheless, there are also weakness points. The world became much more chaotic

Keywords: world; social technical; computational models; models social; technical interactions

Journal Title: New Generation Computing
Year Published: 2017

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