Artificial Analysts Or Economic Analystsmore Accurate Prediction To

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Artificial Analysts Is More Accurate to Compare Economic Analysts

Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.6/5 (389 download)

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Book Synopsis Artificial Analysts Is More Accurate to Compare Economic Analysts by : Johnny Ch LOK

Download or read book Artificial Analysts Is More Accurate to Compare Economic Analysts written by Johnny Ch LOK and published by . This book was released on 2020-04-20 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why can artificial neural network machine system make more accurate share price movement prediction more than human analysts?The reasons are because an analyst who frequently changes individual mind about a company as lacking an understanding of the company. On the other hand, an analyst who sticks to an out-of-consensus view many receive attention from investors because of whose individual unique perspective and may also be more credible the next time he/she makes an out of consensus forecast. Otherwise, artificial neural network machine system won't be influenced by shareholder investors' view points of past wrong different companys' shares buying and selling experience influences. So, artificial machine only makes every different companys' shares movement prediction by the company whole all years' share price movement gathering data to conclude to make more accurate estimate to judge whether what share price range to be risen or fallen down in this month, or in this week , even tomorrow short term more accurate prediction than human analysts' prediction.

The Difference Between Human Analysts and Artificial Analysts

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781983236341
Total Pages : 154 pages
Book Rating : 4.2/5 (363 download)

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Book Synopsis The Difference Between Human Analysts and Artificial Analysts by : Johnny Ch LOK

Download or read book The Difference Between Human Analysts and Artificial Analysts written by Johnny Ch LOK and published by . This book was released on 2018-06-21 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: IntroductionThis book has these two research questions need to be answered?(1)Can apply (AI) learning machine as well as micro and macro economic methods predict consumer behavioral changing?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?This book has two parts. The first part indicates whether micro and macro economic methods can be attempted to apply to predict when, how and why consumer behavioral changing for every kind of different business. The second part indicates whether artificial intelligence can be attempted to apply to predict when, how and why consumer behavioral chaning for every kind of different business.Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.Whether can businessmen apply micro and macro-economic methods to assist them to analyze how marketing will change, what marketing trend will develop next month or next half year, even more than one year marketing development trend in possible?In my this book first part, I shall considerate on businessmen and customers both beneficial view point to explain how to apply behavioral economic concept to predict how their specific industries marketing development trend or consumer behavioral changing trend in these micro economic (individual consumer psychological shopping change trend) and macro-economic (global every specific industry marketing changing trend) environment.This book main research this two questions:(1)Has it relationship between macro and micro economic environment change factors to influence marketing development change trend?(2)Can businessmen apply macro and micro economic methods to predict future marketing development change trend in their specific industries?I shall indicate some specific cases industry to attempt to explain whether it has really relationship between macro and micro economic environment change factors to influence marketing development change trend as well as whether businessmen can apply micro and macro-economic methods to predict future marketing development change trend in these specific industries.

Business Forecasting

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Artificial Analysts Or Economic AnalystsMore Accurate Prediction To

Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.6/5 (46 download)

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Book Synopsis Artificial Analysts Or Economic AnalystsMore Accurate Prediction To by : Johnny Ch Lok

Download or read book Artificial Analysts Or Economic AnalystsMore Accurate Prediction To written by Johnny Ch Lok and published by . This book was released on 2020-04-27 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can (AI) provide businesses with better-informed decisionsI shall explain how (AI) technology can provide businesses with better-informed decisions to drive top-line growth, deliver meaningful experience for customers and smooth their path along the consumer journey. The widely understood definition of (AI) involves the ability of machines or computers to learn human thinking, reasoning and decision-making abilities. A Narrative science study in 2015 year identified that (AI) was being used primarily in voice recognition, machine learning virtual assistants and decision support. This study also highlighted the many branches of (AI) and that techniques and their definition are used interchangeably. It is possible that (AI) can be used to gather big data, then to analyze to help businesses to predict consumer behaviors. For example, one of the most common techniques is machine learning, where algorithms are used to perform tasks by learning from historical data. Another growth branch of (AI) is natural language procession.However, during 2017 year, search engines will begin to factor additional behavioral data into prediction of customer behavioral results, such as the user's history of searches and locations and previously captures conservations. Artificial intelligence will use this information to power predictive search results, e.g. predictive future consumer's choice behavioral processing for any kinds of businesses.Predictive search will improve the quality of search results, and provide new insights into consumers' behavior and the moments which matter to them. Search will give recommendation into tailored how consumer individual choice in consumption process. Several of the largest online platforms already use machine learning to improve predictive consumer behavioral search results. For example, Google's rank brain technology adds research by understanding the context in which the consumer has entered it. Over time, rank brain will learn further from user behaviors Amazon's DSSTNE ( pronouned destiny) learns from shoppers' purchasing habits and consumption behavior to offer better product recommend actions, which Amazon can offer before a consumer has entered anything into the search bar. However, this technology is not independent of human input. For example, Google engineers will periodically retain the rank brain system to improve the models it uses. For another example, in 2016 year, Apple computer revamped its photos app to allow consumers to search for specific items in the phots, they want to find, not just dates and locations. Each photo that an intelligent phone or intelligent pad user takes goes through 11 billion computations, so that photos can understand exactly what is the photography.It seems that in future, (AI) machine learning will allow search to evolve even further.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

FFIT 2023

Author : William Yeoh
Publisher : European Alliance for Innovation
ISBN 13 : 163190423X
Total Pages : 260 pages
Book Rating : 4.6/5 (319 download)

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Book Synopsis FFIT 2023 by : William Yeoh

Download or read book FFIT 2023 written by William Yeoh and published by European Alliance for Innovation. This book was released on 2023-10-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2023) held in Chongqing, China from July 7th to 9th, 2023. FFIT 2023 focuses on Economic statistics under big data, Financial risk control, Economic Modeling and Software Engineering, Accounting and Financial Information Systems, Innovative Supply Chain Financial Services and other fields. The aim of the conference is to provide a platform for experts, scholars, engineers, technicians and technical R&D personnel to share scientific research achievements and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements. We hope that this conference will continue to be held in the coming years, making it an ideal platform for people to share views and experiences in financial innovation and economic development and related areas. We would also like to thank the invited speakers for their valuable contributions and for sharing their perspectives during their speeches.

Artificial Intelligence in Asset Management

Author : Söhnke M. Bartram
Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Philosophico-Methodological Analysis of Prediction and its Role in Economics

Author : Wenceslao J. Gonzalez
Publisher : Springer
ISBN 13 : 3319088858
Total Pages : 375 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Philosophico-Methodological Analysis of Prediction and its Role in Economics by : Wenceslao J. Gonzalez

Download or read book Philosophico-Methodological Analysis of Prediction and its Role in Economics written by Wenceslao J. Gonzalez and published by Springer. This book was released on 2015-02-19 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a philosophico-methodological analysis of prediction and its role in economics. Prediction plays a key role in economics in various ways. It can be seen as a basic science, as an applied science and in the application of this science. First, it is used by economic theory in order to test the available knowledge. In this regard, prediction has been presented as the scientific test for economics as a science. Second, prediction provides a content regarding the possible future that can be used for prescription in applied economics. Thus, it can be used as a guide for economic policy, i.e., as knowledge concerning the future to be employed for the resolution of specific problems. Third, prediction also has a role in the application of this science in the public arena. This is through the decision-making of the agents — individuals or organizations — in quite different settings, both in the realm of microeconomics and macroeconomics. Within this context, the research is organized in five parts, which discuss relevant aspects of the role of prediction in economics: I) The problem of prediction as a test for a science; II) The general orientation in methodology of science and the problem of prediction as a scientific test; III) The methodological framework of social sciences and economics: Incidence for prediction as a test; IV) Epistemology and methodology of economic prediction: Rationality and empirical approaches and V) Methodological aspects of economic prediction: From description to prescription. Thus, the book is of interest for philosophers and economists as well as policy-makers seeking to ascertain the roots of their performance. The style used lends itself to a wide audience.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Economic Analysis of the Digital Economy

Author : Avi Goldfarb
Publisher : University of Chicago Press
ISBN 13 : 022620684X
Total Pages : 510 pages
Book Rating : 4.2/5 (262 download)

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Book Synopsis Economic Analysis of the Digital Economy by : Avi Goldfarb

Download or read book Economic Analysis of the Digital Economy written by Avi Goldfarb and published by University of Chicago Press. This book was released on 2015-05-08 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.

System Analysis and Artificial Intelligence

Author : Michael Zgurovsky
Publisher : Springer Nature
ISBN 13 : 3031374509
Total Pages : 468 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis System Analysis and Artificial Intelligence by : Michael Zgurovsky

Download or read book System Analysis and Artificial Intelligence written by Michael Zgurovsky and published by Springer Nature. This book was released on 2023-08-28 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.

The Art of Forecasting Economic Growth

Author : Barrett Williams
Publisher : Barrett Williams
ISBN 13 :
Total Pages : 163 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Art of Forecasting Economic Growth by : Barrett Williams

Download or read book The Art of Forecasting Economic Growth written by Barrett Williams and published by Barrett Williams. This book was released on 2024-08-24 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Predicting Tomorrow with "The Art of Forecasting Economic Growth"! Are you ready to delve into the intricate world of economic forecasting? Discover the strategies, methods, and tools that shape the way experts predict future economic trends. "The Art of Forecasting Economic Growth" is your comprehensive guide to mastering economic predictions and leveraging them for smarter decision-making. Start your journey with an essential introduction to economic forecasting, exploring its significance, history, and the key players that have set the stage. As you progress, get acquainted with the fundamentals of data analysis in economics – uncover the types of data, collection methods, and basic concepts in economic modeling. Dive deeper into statistical techniques with chapters dedicated to descriptive and inferential statistics, and regression analysis. Grasp the intricacies of time series analysis and learn how to utilize economic indicators for accurate predictions. Build your full understanding of constructing and validating predictive economic models. Venture into advanced econometric techniques and discover the cutting-edge role of machine learning in economic forecasting. Understand the impact of big data, and the nuanced field of behavioral economics, to enhance your forecasting accuracy even further. Explore the significance of economic policy analysis, scenario planning, and stress testing. Enhance your insight on forecasting financial markets and evaluate the accuracy of your predictions with clear, actionable metrics. Learn the best practices for communicating your forecasts, ensuring clarity and impact. Ethics play a critical role in economic forecasting. This eBook provides a mindful exploration of ethical considerations, dilemmas, and solutions, backed by real-world case studies. Utilize forecasts to shape business strategies and align them with market realities. As you reach the final chapters, look ahead to the future of economic forecasting, exploring emerging trends, the transformative influence of AI, and the dynamics of a globalized economy. "The Art of Forecasting Economic Growth" is a must-have for anyone seeking to understand and apply economic forecasting techniques. Equip yourself with the knowledge to predict, plan, and prosper in an ever-changing economic landscape. Your journey into the future of economics starts here!

John Babikian - Quantum Computing

Author : John Babikian
Publisher : John Babikian
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4./5 ( download)

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Book Synopsis John Babikian - Quantum Computing by : John Babikian

Download or read book John Babikian - Quantum Computing written by John Babikian and published by John Babikian. This book was released on 2016-02-25 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the realm of blockchain technology, John Babikian, a notable lawyer and computer engineer, has carved out a distinct identity for himself. With several years of involvement in the industry, he has not only garnered attention but has also made substantial investments in various blockchain projects. Delving into the essence of blockchain technology and John's profound interest in it, this article aims to unravel the dynamics of this rapidly expanding industry and the notable contributions made by John Babikian. John Babikian is also a renowned author, researcher, and speaker specializing in cutting-edge technology and its transformative impact on various aspects of life. With a passion for understanding and harnessing the power of innovation, John Babikian academic background in computer science and engineering along with law has provided him with a strong foundation for his work in quantum computing. Over the years, he has conducted research, developed applications, and collaborated with leading experts in the world.

Economic Growth: Advances in Analysis Methodologies and Technologies

Author : Vitor Joao Pereira Domingues Martinho
Publisher : Springer Nature
ISBN 13 : 303138363X
Total Pages : 150 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Economic Growth: Advances in Analysis Methodologies and Technologies by : Vitor Joao Pereira Domingues Martinho

Download or read book Economic Growth: Advances in Analysis Methodologies and Technologies written by Vitor Joao Pereira Domingues Martinho and published by Springer Nature. This book was released on 2023-09-09 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assesses the main interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the framework of digital transition. In other words, it aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. Readers of the book would benefit from diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth. This is important especially for students, policymakers and public institutions. Economic growth is analysed using the concepts of sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine and deep learning approaches.

Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation

Author : Bahaaeddin Alareeni
Publisher : Springer Nature
ISBN 13 : 3031674448
Total Pages : 564 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation by : Bahaaeddin Alareeni

Download or read book Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation written by Bahaaeddin Alareeni and published by Springer Nature. This book was released on with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Future Society

Author : Vasile Palade
Publisher : Springer Nature
ISBN 13 : 3031694570
Total Pages : 767 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Artificial Intelligence for Future Society by : Vasile Palade

Download or read book Artificial Intelligence for Future Society written by Vasile Palade and published by Springer Nature. This book was released on with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Behavioral and neuroscientific analysis of economic decision making in animals

Author : Tobias Kalenscher
Publisher : Frontiers E-books
ISBN 13 : 288919096X
Total Pages : 164 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Behavioral and neuroscientific analysis of economic decision making in animals by : Tobias Kalenscher

Download or read book Behavioral and neuroscientific analysis of economic decision making in animals written by Tobias Kalenscher and published by Frontiers E-books. This book was released on with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The experimental analysis of animal behavior has a rich tradition in psychology, behavioral ecology and many other scientific branches dedicated to the study of decision making. However, it has never enjoyed a similar popularity in economics. This has recently changed with the dawn of neuroeconomics – a discipline combining the analytic and experimental tools of psychology and economics with the technologies available in neuroscience to unravel the neurobiological mechanisms underlying economic behavior. Since many of the sophisticated neuroscientific techniques can only be used on animals, neuroeconomists have come up with a large and ever-growing repertoire of animal models to probe economic decision making. Besides the value of using animals as model systems to emulate human economic behavior, the discipline of animal economic decision making exists in its very own right: an abundance of animal species at various evolutionary stages show behavior that complies with many of the predictions of economic theory, whilst, at the same time demonstrating violations of optimal choice models that are reminiscent of similar anomalies found in human behavior. Hence, the analysis of animal choice does not only offer insights into the evolutionary origins of economic decision making, it also testifies that the analysis of animal behavior is a convenient, economical and sound way to test competing economic decision models in optimally controlled experimental environments, to probe their neural implementation and to yield common denominators in choice behavior. In short, economic theory provides more than just an alternative language to describe animal psychology: its combination with biology, psychology and neuroscience gives way to synergy effects that open up new venues for studying economic choice. In this special issue, we would like to gather the latest results from this cross-disciplinary topic, address the overlap and discrepancies in (the neurobiology of) economic decision making found between species and identify the challenges that lie ahead in translating results from species to species, and ultimately to humans. The exclusive focus on non-human animals makes this Research Topic unique and distinct from previous special issues which covered a broader range of matters and subjects in the neurobiological analysis of decision making.