Human-assisted computation also called humanized or human-based computing harnesses human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence algorithms by outsourcing certain steps to humans. This approach exploits differences in abilities between humans and computer agents creating a symbiotic human-computer interaction and can be helpful in solving many AI-complete problems. This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today. Excitingly techniques originally developed for solutions in engineering, science and technology are being applied to areas of economics, finance and, especially the social sciences. The book reviews present and developing deep model-based methods of mathematics and the less model-based, also so-called smart or intelligent algorithms, with their roots in engineering, computer science or informatics and how combing the strengths of humans and computers can create powerful solutions. Bridging several scientific disciplines, this book will be essential reading for scientists, engineers and applied mathematicians alike. Key Features Reviews the present state of play and future challenges in human-assisted computing Interdisciplinary coverage Focus on applications Includes case studies and real-life implemented solutions
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