Artificial Intelligence In Control And Decision Making Systems

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Artificial Intelligence in Industrial Decision Making, Control and Automation

Author : S.G. Tzafestas
Publisher : Springer Science & Business Media
ISBN 13 : 9401103054
Total Pages : 778 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Artificial Intelligence in Industrial Decision Making, Control and Automation by : S.G. Tzafestas

Download or read book Artificial Intelligence in Industrial Decision Making, Control and Automation written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

Artificial Intelligence in Control and Decision-making Systems

Author : Yuriy P. Kondratenko
Publisher : Springer Nature
ISBN 13 : 3031257596
Total Pages : 394 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence in Control and Decision-making Systems by : Yuriy P. Kondratenko

Download or read book Artificial Intelligence in Control and Decision-making Systems written by Yuriy P. Kondratenko and published by Springer Nature. This book was released on 2023-04-17 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an authoritative collection of contributions reporting on computational intelligence, fuzzy systems as well as artificial intelligence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences. Dedicated to the Academician of the Polish Academy of Sciences, Professor Janusz Kacprzyk in recognition of his pioneering work, the book reports on theories, methods and new challenges in artificial intelligence, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. The book consists of the 18 chapters, presented by distinguished and experienced authors from 16 different countries (Australia, Brazil, Canada, Chile, Germany, Hungary, Israel, Italy, China, R.N.Macedonia, Saudi Arabia, Spain, Turkey, United States, Ukraine, and Vietnam). All chapters are grouped into three parts: Computational Intelligence and Fuzzy Systems, Artificial Intelligence Techniques in Modelling and Optimization, and Computational Intelligence in Control and Decision Support Processes. The book reflects recent developments and new directions in artificial intelligence, including computation method of the interval hull to solutions of interval and fuzzy interval linear systems, fuzzy-Petri-networks in supervisory control of Markov processes in robotic systems, fuzzy approaches for linguistic data summaries, first-approximation analysis for choosing fuzzy or neural systems and type-1 or type-2 fuzzy sets, matrix resolving functions in game dynamic problems, evolving stacking neuro-fuzzy probabilistic networks and their combined learning in online pattern recognition tasks, structural optimization of fuzzy control and decision-making systems, neural and granular fuzzy adaptive modeling, state and action abstraction for search and reinforcement learning algorithms. Among the most successful and perspective implementations in practical areas of human activity are tentative algorithms for neurological disorders, human-centric question-answering system, OWA operators in pensions, evaluation of the perception of public safety through fuzzy and multi-criteria approach, a multicriteria hierarchical approach to investment location choice, intelligent traffic signal control and generative adversarial networks in cybersecurity.

Intelligent Decision-making Support Systems

Author : Jatinder N.D. Gupta
Publisher : Springer Science & Business Media
ISBN 13 : 1846282314
Total Pages : 503 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Intelligent Decision-making Support Systems by : Jatinder N.D. Gupta

Download or read book Intelligent Decision-making Support Systems written by Jatinder N.D. Gupta and published by Springer Science & Business Media. This book was released on 2007-03-30 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.

Multicriteria Decision Aid and Artificial Intelligence

Author : Michael Doumpos
Publisher : John Wiley & Sons
ISBN 13 : 1118522494
Total Pages : 328 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Multicriteria Decision Aid and Artificial Intelligence by : Michael Doumpos

Download or read book Multicriteria Decision Aid and Artificial Intelligence written by Michael Doumpos and published by John Wiley & Sons. This book was released on 2013-02-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

Research Handbook on Artificial Intelligence and Decision Making in Organizations

Author : Ioanna Constantiou
Publisher : Edward Elgar Publishing
ISBN 13 : 180392621X
Total Pages : 393 pages
Book Rating : 4.8/5 (39 download)

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Book Synopsis Research Handbook on Artificial Intelligence and Decision Making in Organizations by : Ioanna Constantiou

Download or read book Research Handbook on Artificial Intelligence and Decision Making in Organizations written by Ioanna Constantiou and published by Edward Elgar Publishing. This book was released on 2024-03-14 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.

Decision Making with Imperfect Decision Makers

Author : Tatiana Valentine Guy
Publisher : Springer Science & Business Media
ISBN 13 : 3642246478
Total Pages : 195 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Decision Making with Imperfect Decision Makers by : Tatiana Valentine Guy

Download or read book Decision Making with Imperfect Decision Makers written by Tatiana Valentine Guy and published by Springer Science & Business Media. This book was released on 2011-11-13 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?

Intelligent Decision Making: An AI-Based Approach

Author : Gloria Phillips-Wren
Publisher : Springer Science & Business Media
ISBN 13 : 3540768289
Total Pages : 414 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Intelligent Decision Making: An AI-Based Approach by : Gloria Phillips-Wren

Download or read book Intelligent Decision Making: An AI-Based Approach written by Gloria Phillips-Wren and published by Springer Science & Business Media. This book was released on 2008-03-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Decision-Making Support Systems: Achievements and Challenges for the New Decade

Author : Mora, Manuel
Publisher : IGI Global
ISBN 13 : 1591400805
Total Pages : 435 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Decision-Making Support Systems: Achievements and Challenges for the New Decade by : Mora, Manuel

Download or read book Decision-Making Support Systems: Achievements and Challenges for the New Decade written by Mora, Manuel and published by IGI Global. This book was released on 2002-07-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The book presents state-of-the-art knowledge about decision-making support systems (DMSS). Its main goals are to provide a compendium of quality chapters on decision-making support systems that help diffuse scarce knowledge about effective methods and strategies for successfully designing, developing, implementing, and evaluating decision-making support systems, and to create an awareness among readers about the relevance of decision-making support systems in the current complex and dynamic management environment.

Fuzzy Sets, Decision Making, and Expert Systems

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
ISBN 13 : 9400932499
Total Pages : 342 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Fuzzy Sets, Decision Making, and Expert Systems by : Hans-Jürgen Zimmermann

Download or read book Fuzzy Sets, Decision Making, and Expert Systems written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.

Predicting Human Decision-Making

Author : Ariel Geib
Publisher : Springer Nature
ISBN 13 : 3031015789
Total Pages : 134 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Predicting Human Decision-Making by : Ariel Geib

Download or read book Predicting Human Decision-Making written by Ariel Geib and published by Springer Nature. This book was released on 2022-05-31 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.

After the Digital Tornado

Author : Kevin Werbach
Publisher : Cambridge University Press
ISBN 13 : 1108645259
Total Pages : 251 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis After the Digital Tornado by : Kevin Werbach

Download or read book After the Digital Tornado written by Kevin Werbach and published by Cambridge University Press. This book was released on 2020-07-23 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper “Digital Tornado” hailed the “endless spiral of connectivity” that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of building pervasive networks and algorithms for the benefit of humanity. This title is also available as Open Access on Cambridge Core.

Future Role of Sustainable Innovative Technologies in Crisis Management

Author : Ali, Mohammed
Publisher : IGI Global
ISBN 13 : 1799898172
Total Pages : 280 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Future Role of Sustainable Innovative Technologies in Crisis Management by : Ali, Mohammed

Download or read book Future Role of Sustainable Innovative Technologies in Crisis Management written by Ali, Mohammed and published by IGI Global. This book was released on 2022-04-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing use of innovative technologies by global businesses has sparked debate about their application in crisis resolution. Resolution tools can be used by global businesses to manage various types of crisis situations, such as natural disasters, information security issues, economic downturns, health crisis situations, and sustainability issues in education, among others. Further study and consideration of the uses of technology in the areas of crisis and change management and intra-company communication practice in the context of global business must be done to ensure successful and sustainable businesses. Future Role of Sustainable Innovative Technologies in Crisis Management raises awareness of the multifaceted field of new technology in crisis management that has resulted in a paradigm shift in the way contemporary industries and global businesses communicate and conduct their daily business operations. This book defines the scope of innovative technologies as the application of new technologies to support the resolution of various types of crisis situations to achieve regulatory compliance and improved risk management in an effective and automated manner. Covering topics such as sustainable business and disaster scenarios, this reference work is ideal for managers, entrepreneurs, researchers, academicians, scholars, practitioners, instructors, and students.

Automated decision-making in the public sector. Artificial Intelligence vs Administrative Intelligence?

Author : Hortense Fricker
Publisher : GRIN Verlag
ISBN 13 : 334632625X
Total Pages : 78 pages
Book Rating : 4.3/5 (463 download)

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Book Synopsis Automated decision-making in the public sector. Artificial Intelligence vs Administrative Intelligence? by : Hortense Fricker

Download or read book Automated decision-making in the public sector. Artificial Intelligence vs Administrative Intelligence? written by Hortense Fricker and published by GRIN Verlag. This book was released on 2021-01-12 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2020 in the subject Organisation and administration - Public administration, grade: 1,1, Free University of Berlin (Otto-Suhr-Institut), language: English, abstract: The paper is divided in two main parts. The first part introduces the agency theory and its application to two relevant aspects: the agency theory in the public sector and the agency theory involving artificial agents. The second part aims at providing answers to the research questions, by discussing the changes in the agency of the public administrations, as well as the changes in the control methods used to monitor these administrations. Finally, the conclusion summarizes the answer to the research questions, exposes the implications and limits of this paper and offers leads for possible future research on this topic. Automated decision-making (ADM), a type of algorithm which supports decision-making and combines advanced analytics and data minig to make predictions, has been developed in various public sector fields, from predictive policing to healthcare, and is increasingly helping public agents by delivering analysis that they can leverage to make their decisions. This technique involves three main stakeholders: the programmer of the algorithmic system; the user, who is the public agent operating the ADM system; and the individuals affected by the decisions made using ADM. This paper focuses on the consequences on the governance and responsibility of administrations increasingly relying on algorithms to make their decisions. Does the introduction of ADM in public administrations transform their agency? If so, why does this change occur and how does it impact the control methods required to supervise the actions of administrations? The chosen approach is the agency theory, which is suited to deal with delegation, specifically between actors from different contextual backgrounds. France has been chosen as the case-study for this topic, as it has put in place relevant laws and public institutions in order to deal with public ADM. The method chosen to investigate this issue is based on a literature review, as it is appropriate to approach a case-study. This includes scientific papers for the technical aspects, from computer sciences to social and political sciences, as well as reports from governments, international institutions and private companies. More general literature, such as articles and blog posts are used for information on the use of ADM in France and the public debate surrounding it. Finally, the methodology also includes semi-structured interviews led with experts working on the topic of ADM in the public sector.

Expert Systems and Artificial Intelligence in Decision Support Systems

Author : Henk G. Sol
Publisher : Springer Science & Business Media
ISBN 13 : 9400938055
Total Pages : 326 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Expert Systems and Artificial Intelligence in Decision Support Systems by : Henk G. Sol

Download or read book Expert Systems and Artificial Intelligence in Decision Support Systems written by Henk G. Sol and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1985 it was 20 years since Nobel Laureate Herbert A. Simon published: 'THE SHAPE OF AUTOMATION: For Men and Management'. This short but important and still topical book dwells on three subjects: - The Long-Range Economic Effects of Automation; - Will the Corporation be Managed by Machines? - The New Science of Management Decision. In contrast with George Orwell, who was a critic of contemporary political systems rather than a prophet, Simon portrays a far more rosy picture of our 'brave new world'. Simon's work breathes optimism. First, computer technology; looking back it is aoubtful whether even the professor expected the hardware development ~e have wittnessed. Secondly, our ability to 'tame the beast'; there is now not much reason for complacency and satisfaction. Offices and factories can by no means be called automated, at most semi-automated. Thirdly the organizational and social implications of these rapid technological developments; referring to what he then called: 'The Computer and the new decision making techniques ..• ' Concerning this last point, there is little need to emphasize that had been less practical application in organizations than the often impressive theoretical developments would lead one to believe. In Europe this situation is even more accute than in the USA and Japan. The ESPRIT programme of the ECC and many similar national programs intend to bridge the gap.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren
Publisher : Elsevier
ISBN 13 : 012821743X
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Fuzzy Decision Making in Modeling and Control

Author : Joao M. C. Sousa
Publisher : World Scientific
ISBN 13 : 9812777911
Total Pages : 356 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Fuzzy Decision Making in Modeling and Control by : Joao M. C. Sousa

Download or read book Fuzzy Decision Making in Modeling and Control written by Joao M. C. Sousa and published by World Scientific. This book was released on 2002 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered: OCo Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.OCo Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.OCo Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.OCo Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems."

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Author : Tatiana V. Guy
Publisher : Springer
ISBN 13 : 3319151444
Total Pages : 184 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Decision Making: Uncertainty, Imperfection, Deliberation and Scalability by : Tatiana V. Guy

Download or read book Decision Making: Uncertainty, Imperfection, Deliberation and Scalability written by Tatiana V. Guy and published by Springer. This book was released on 2015-02-09 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: • task allocation to maximize “the wisdom of the crowd”; • design of a society of “edutainment” robots who account for one anothers’ emotional states; • recognizing and counteracting seemingly non-rational human decision making; • coping with extreme scale when learning causality in networks; • efficiently incorporating expert knowledge in personalized medicine; • the effects of personality on risky decision making. The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other fields.