Human And Machine Problem Solving

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Human and Machine Problem Solving

Author : K.J. Gilhooly
Publisher : Springer Science & Business Media
ISBN 13 : 1468480154
Total Pages : 391 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Human and Machine Problem Solving by : K.J. Gilhooly

Download or read book Human and Machine Problem Solving written by K.J. Gilhooly and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.

Human and Machine Problem Solving

Author : K. J. Gilhooly
Publisher :
ISBN 13 : 9781468480160
Total Pages : 404 pages
Book Rating : 4.4/5 (81 download)

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Book Synopsis Human and Machine Problem Solving by : K. J. Gilhooly

Download or read book Human and Machine Problem Solving written by K. J. Gilhooly and published by . This book was released on 1989-01-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Human-Machine Shared Contexts

Author : William Lawless
Publisher : Academic Press
ISBN 13 : 0128223790
Total Pages : 448 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Human-Machine Shared Contexts by : William Lawless

Download or read book Human-Machine Shared Contexts written by William Lawless and published by Academic Press. This book was released on 2020-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction

The Alignment Problem: Machine Learning and Human Values

Author : Brian Christian
Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian

Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

Problem-Solving Processes in Humans and Computers

Author : Morton Wagman
Publisher : Praeger
ISBN 13 :
Total Pages : 264 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Problem-Solving Processes in Humans and Computers by : Morton Wagman

Download or read book Problem-Solving Processes in Humans and Computers written by Morton Wagman and published by Praeger. This book was released on 2002 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem- solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers (Praeger, 2000). In this book, Professor Emeritus Morton Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers, (Praeger, 2000) Of special interest to readers will be Wagman's conclusion that artificial intelligence problem-solving systems are deepening and broadening theories of human problem solving from scientific to everyday approaches. Scholars and professionals in psychology, artificial intelligence, and cognitive science will consider this a volume a valuable addition to their collections.

Cognition and the Creative Machine

Author : Ana-Maria Oltețeanu
Publisher : Springer
ISBN 13 : 9783030303242
Total Pages : 282 pages
Book Rating : 4.3/5 (32 download)

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Book Synopsis Cognition and the Creative Machine by : Ana-Maria Oltețeanu

Download or read book Cognition and the Creative Machine written by Ana-Maria Oltețeanu and published by Springer. This book was released on 2021-08-26 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: How would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted. The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.

Algorithms Are Not Enough

Author : Herbert L. Roitblat
Publisher : MIT Press
ISBN 13 : 0262044129
Total Pages : 340 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Algorithms Are Not Enough by : Herbert L. Roitblat

Download or read book Algorithms Are Not Enough written by Herbert L. Roitblat and published by MIT Press. This book was released on 2020-10-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

Cognition and the Creative Machine

Author : Ana-Maria Oltețeanu
Publisher : Springer Nature
ISBN 13 : 3030303225
Total Pages : 282 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Cognition and the Creative Machine by : Ana-Maria Oltețeanu

Download or read book Cognition and the Creative Machine written by Ana-Maria Oltețeanu and published by Springer Nature. This book was released on 2020-05-23 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: How would you assemble a machine that can be creative, what would its cogs be? Starting from how humans do creative problem solving, the author has developed a framework to explore whether a diverse set of creative problem-solving tasks can be solved computationally using a unified set of principles. In this book she describes the implementation of related prototype AI systems, and the computational and empirical experiments conducted. The book will be of interest to researchers, graduate students, and laypeople engaged with ideas in artificial intelligence, cognitive science, and creativity.

Mathematical Problem Solving

Author : ALAN H. SCHOENFELD
Publisher : Elsevier
ISBN 13 : 1483295486
Total Pages : 409 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Mathematical Problem Solving by : ALAN H. SCHOENFELD

Download or read book Mathematical Problem Solving written by ALAN H. SCHOENFELD and published by Elsevier. This book was released on 2014-06-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to people with research interests in the nature of mathematical thinking at any level, to people with an interest in "higher-order thinking skills" in any domain, and to all mathematics teachers. The focal point of the book is a framework for the analysis of complex problem-solving behavior. That framework is presented in Part One, which consists of Chapters 1 through 5. It describes four qualitatively different aspects of complex intellectual activity: cognitive resources, the body of facts and procedures at one's disposal; heuristics, "rules of thumb" for making progress in difficult situations; control, having to do with the efficiency with which individuals utilize the knowledge at their disposal; and belief systems, one's perspectives regarding the nature of a discipline and how one goes about working in it. Part Two of the book, consisting of Chapters 6 through 10, presents a series of empirical studies that flesh out the analytical framework. These studies document the ways that competent problem solvers make the most of the knowledge at their disposal. They include observations of students, indicating some typical roadblocks to success. Data taken from students before and after a series of intensive problem-solving courses document the kinds of learning that can result from carefully designed instruction. Finally, observations made in typical high school classrooms serve to indicate some of the sources of students' (often counterproductive) mathematical behavior.

Metasynthetic Computing and Engineering of Complex Systems

Author : Longbing Cao
Publisher : Springer
ISBN 13 : 1447165519
Total Pages : 348 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Metasynthetic Computing and Engineering of Complex Systems by : Longbing Cao

Download or read book Metasynthetic Computing and Engineering of Complex Systems written by Longbing Cao and published by Springer. This book was released on 2015-05-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.

The Mathematical Corporation

Author : Josh Sullivan
Publisher : PublicAffairs
ISBN 13 : 1610397894
Total Pages : 304 pages
Book Rating : 4.6/5 (13 download)

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Book Synopsis The Mathematical Corporation by : Josh Sullivan

Download or read book The Mathematical Corporation written by Josh Sullivan and published by PublicAffairs. This book was released on 2017-06-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most powerful weapon in business today is the alliance between the mathematical smarts of machines and the imaginative human intellect of great leaders. Together they make the mathematical corporation, the business model of the future. We are at a once-in-a-decade breaking point similar to the quality revolution of the 1980s and the dawn of the internet age in the 1990s: leaders must transform how they run their organizations, or competitors will bring them crashing to earth--often overnight. Mathematical corporations--the organizations that will master the future--will outcompete high-flying rivals by merging the best of human ingenuity with machine intelligence. While smart machines are weapon number one for organizations, leaders are still the drivers of breakthroughs. Only they can ask crucial questions to capitalize on business opportunities newly discovered in oceans of data. This dynamic combination will make possible the fulfillment of missions that once seemed out of reach, even impossible to attain. Josh Sullivan and Angela Zutavern's extraordinary examples include the entrepreneur who upended preventive health care, the oceanographer who transformed fisheries management, and the pharmaceutical company that used algorithm-driven optimization to boost vaccine yields. Together they offer a profoundly optimistic vision for a dazzling new phase in business, and a playbook for how smart companies can manage the essential combination of human and machine.

Expertise and Technology

Author : Jean-Michel Hoc
Publisher : Psychology Press
ISBN 13 : 1134783655
Total Pages : 327 pages
Book Rating : 4.1/5 (347 download)

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Book Synopsis Expertise and Technology by : Jean-Michel Hoc

Download or read book Expertise and Technology written by Jean-Michel Hoc and published by Psychology Press. This book was released on 2013-06-17 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.

The Art of Troubleshooting

Author : Jason Maxham
Publisher : Creatspace
ISBN 13 : 9781497522152
Total Pages : 356 pages
Book Rating : 4.5/5 (221 download)

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Book Synopsis The Art of Troubleshooting by : Jason Maxham

Download or read book The Art of Troubleshooting written by Jason Maxham and published by Creatspace. This book was released on 2014-05-08 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to earn your fix-it PhD? Then it's time to read The Art Of Troubleshooting. Combining theory and practice, you'll gain insight into the principles that underlie the diagnosis and repair of all machines. Explore the entire ecosystem of fixing things, including economics, psychology, and preventing future malfunctions by learning from current ones. Extremely practical too, you'll benefit from an entire section devoted to the bread-and-butter strategies that get you from "broken" to "fixed" in the shortest time possible. Finally, The Art Of Troubleshooting focuses on you. Understand the mindset and behaviors that can make anyone a truly powerful master of repair. Whether at home or at work, be the hero and save the day by getting things running again!

Categorization by Humans and Machines

Author :
Publisher : Academic Press
ISBN 13 : 9780080863801
Total Pages : 552 pages
Book Rating : 4.8/5 (638 download)

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Book Synopsis Categorization by Humans and Machines by :

Download or read book Categorization by Humans and Machines written by and published by Academic Press. This book was released on 1993-10-22 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.

To Be a Machine

Author : Mark O'Connell
Publisher : Anchor
ISBN 13 : 110191159X
Total Pages : 258 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis To Be a Machine by : Mark O'Connell

Download or read book To Be a Machine written by Mark O'Connell and published by Anchor. This book was released on 2018-01-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: “This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review (editor's choice) Transhumanism is a movement pushing the limits of our biology—of our senses, intelligence, and lifespans—with technology. Its supporters have reached a critical mass and now include some of the biggest names in Silicon Valley and beyond, among them Peter Thiel, Elon Musk, and Ray Kurzweil. In this provocative and eye-opening account, journalist Mark O’Connell explores the staggering (and terrifying) possibilities that present themselves when you think of your body as an outmoded device. He visits the world’s foremost cryonics facility to witness how some have chosen to forestall death, discovers an underground collective of biohackers boosting their senses by implanting electronics under their skin, and meets with members of a team urgently investigating how to protect mankind from rogue artificial superintelligence. In investigating what it means to be a machine, O’Connell shines a light on our ancient desire to transcend the animal condition—and offers a surprising meditation on what it means to be human.

Granular Computing and Intelligent Systems

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
ISBN 13 : 3642198201
Total Pages : 308 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Granular Computing and Intelligent Systems by : Witold Pedrycz

Download or read book Granular Computing and Intelligent Systems written by Witold Pedrycz and published by Springer Science & Business Media. This book was released on 2011-04-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type. The higher order information granularity is concerned with an effective formation of information granules over the space being originally constructed by information granules of lower order. This construct is directly associated with the concept of hierarchy of systems composed of successive processing layers characterized by the increasing levels of abstraction. This idea of layered, hierarchical realization of models of complex systems has gained a significant level of visibility in fuzzy modeling with the well-established concept of hierarchical fuzzy models where one strives to achieve a sound tradeoff between accuracy and a level of detail captured by the model and its level of interpretability. Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets. Higher order and higher type of information granules constitute the focus of the studies on Granular Computing presented in this study. The book elaborates on sound methodologies of Granular Computing, algorithmic pursuits and an array of diverse applications and case studies in environmental studies, option price forecasting, and power engineering.

Augmented Humanity

Author : Peter T. Bryant
Publisher : Springer Nature
ISBN 13 : 3030764451
Total Pages : 325 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Augmented Humanity by : Peter T. Bryant

Download or read book Augmented Humanity written by Peter T. Bryant and published by Springer Nature. This book was released on 2021-08-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book will examine the implications of digitalization for the understanding of humanity, conceived as a community of intelligent agency. It addresses important topics across a range of social and behavioral theories and identifies a range of novel mechanisms and their social behavioral effects. Across the book, the author highlights the expansion of intelligent processing capability brought about by digitalization and the challenges this exposes for integrating artificial and human capabilities. It includes the altered effects of bounded rationality in problem solving and decision making; related changes in the perception of rationality, plus novel myopias and biases. It also seeks to address cognitive intersubjectivity, learning from performance and agentic self-generation; and the novel methods and patterns of reasoned thought which emerge in a digitalized world; and how these mechanisms will combine in making and remaking the world of human experience and understanding. This book examines the problematics and prospects for digitally augmented humanity. In doing so, it maps the terrain for a future science of augmented agency. It will have cross-disciplinary appeal to students and scholars of applied psychology, cognitive and behavioral science, organizational psychology and management, business, finance, and digital cultures and humanities.