Naive Decision Making

Author : T. W. Körner
Publisher : Cambridge University Press
ISBN 13 : 1139473565
Total Pages : 375 pages
Book Rating : 4.69/5 ( download)

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Download or read book Naive Decision Making written by T. W. Körner and published by Cambridge University Press. This book was released on 2008-10-16 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should one choose the best restaurant to eat in? Can one really make money at gambling? Or predict the future? Naive Decision Making presents the mathematical basis for making decisions where the outcome may be uncertain or the interests of others have to taken into consideration. Professor Körner takes the reader on an enjoyable journey through many aspects of mathematical decision making, with pithy observations, anecdotes and quotations. Topics include probability, statistics, Arrow's theorem, Game Theory and Nash equilibrium. Readers will also gain a great deal of insight into mathematics in general and the role it can play within society. Intended for those with elementary calculus, this book is ideal as a supplementary text for undergraduate courses in probability, game theory and decision making. Engaging and intriguing, it will also appeal to all those of a mathematical mind. To aid understanding, many exercises are included, with solutions available online.

Author : T. W. Ko ̈rner
Publisher :
ISBN 13 : 9780511438417
Total Pages : 391 pages
Book Rating : 4.19/5 ( download)

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Download or read book Naive Decision Making written by T. W. Ko ̈rner and published by . This book was released on 2014-05-14 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes readers on an enjoyable journey through many aspects of mathematical decision making; the only prerequisite is elementary calculus.

Author : T. W. Körner
Publisher : Cambridge University Press
ISBN 13 : 9780521516167
Total Pages : 400 pages
Book Rating : 4.61/5 ( download)

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Download or read book Naive Decision Making written by T. W. Körner and published by Cambridge University Press. This book was released on 2008-10-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should one choose the best restaurant to eat in? Can one really make money at gambling? Or predict the future? Naive Decision Making presents the mathematical basis for making everyday decisions, which my often be based on very little or uncertain data. Professor Körner takes the reader on an enjoyable journey through many aspects of mathematical decision making, with relatable observations, anecdotes and quotations. Topics include probability, statistics, Arrow's theorem, Game Theory and Nash equilibrium. Readers will also gain a great deal of insight into mathematics in general and the role it can play within society. Suitable for those with elementary calculus, this book is ideal as a supplementary text for undergraduate courses in probability, game theory and decision making. Engaging and intriguing, it will also appeal to all those of a mathematical mind. To aid understanding, many exercises are included, with solutions available online.

Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3030237567
Total Pages : 1392 pages
Book Rating : 4.61/5 ( download)

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Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Author : Ray Crozier
Publisher : Routledge
ISBN 13 : 1134726775
Total Pages : 282 pages
Book Rating : 4.76/5 ( download)

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Download or read book Decision Making written by Ray Crozier and published by Routledge. This book was released on 2002-09-11 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an exciting new collection of recent research on the actual processes that humans use when making decisions in their everyday lives and in business situations. The contributors use cognitive psychological techniques to break down the constituent processes and set them in their social context. The contributors are from many different countries and draw upon a wide range of techniques, making this book a valuable resource to cognitive psychologists in applied settings, economists and managers.

Author : Gary A. Klein
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.7Y/5 ( download)

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Download or read book Knowledge Elicitation of Recognition-primed Decision Making written by Gary A. Klein and published by . This book was released on 1988 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A Critical Decision Method (CDM) has been developed for knowledge elicitation. The CDM, an extension of the critical incident technique, includes protocol analysis and memory recall tasks to study cognitive performance. A set of probes is employed to trace the development of situation assessment during critical incidents, and to determine the decision strategies used. The outputs of the method include inventories of the critical cues, graphic portrayals of the situation assessment process, and categorization of the decision strategies. Thus far, the method has been used with a variety of decisions and appears especially well suited to studying cognitive performance in naturalistic settings. It also appears valuable for addressing the highly skilled decision maker, and for eliciting the analytical and perceptual bases of proficient performance. Applications have been made for training, decision support systems, and the development and evaluation of knowledge based systems." -- Abstract.

Author : Volodymyr Lytvynenko
Publisher : Springer
ISBN 13 : 3030264742
Total Pages : 715 pages
Book Rating : 4.41/5 ( download)

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Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Volodymyr Lytvynenko and published by Springer. This book was released on 2019-07-23 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Author : Patanjali Kashyap
Publisher : Apress
ISBN 13 : 1484229886
Total Pages : 381 pages
Book Rating : 4.80/5 ( download)

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Download or read book Machine Learning for Decision Makers written by Patanjali Kashyap and published by Apress. This book was released on 2018-01-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.

Author : Laura Affolter
Publisher : Springer Nature
ISBN 13 : 303061512X
Total Pages : 213 pages
Book Rating : 4.23/5 ( download)

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Download or read book Asylum Matters written by Laura Affolter and published by Springer Nature. This book was released on 2020-11-30 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book examines everyday practices in an asylum administration. Asylum decisions are often criticised as being ‘subjective’ or ‘arbitrary’. Asylum Matters turns this claim on its head. Through the ethnographic study of asylum decision-making in the Swiss Secretariat for Migration, the book shows how regularities in administrative practice and ‘socialised subjectivity’ are produced. It argues that asylum caseworkers acquire an institutional habitus through their socialisation on the job, making them ‘carriers’ of routine practices. The different chapters of the book deal with what it means to methodologically study administrative practice: with how asylum proceedings work in Switzerland and with the role different types of knowledge play in overcoming the uncertainties inherent in refugee status and credibility determination. It sheds light on organisational socialisation processes and on the professional norms and values at the heart of administrative work. By doing so, it shows how disbelief becomes normalised in the office. This book speaks to legal scholars, sociologists, anthropologists, human geographers and political scientists interested in bureaucracy, asylum law, migration studies and socio-legal studies, and to NGOs working in the field of asylum.

Author : Mykel J. Kochenderfer
Publisher : MIT Press
ISBN 13 : 0262331713
Total Pages : 350 pages
Book Rating : 4.15/5 ( download)

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Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.