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Philosophy and Religion (R0)

Vincent F. Hendricks

WHAT ABOUT ME ISM

Insights from Game Theory, Behavioral Economics and Moral Philosophy

&lt;p&gt;Prologue.- 1: Life and zero-sum scenarios.- 2: The whataboutme game.- 3: Enough about me, what about you, what do you think of me?.- 4: Moral depravity.- 5: Seeing it coming a mile away.- 6: Separate spreadsheets.- 7: Coward or crook?.- 8: Work the problem, work together.- 9. What about you? It&amp;rsquo;s about us!.- A&lt;span lang="EN-US" style="font-size: 13.5pt; font-family: 'Calibri',sans-serif; color: black; mso-ansi-language: EN-US;"&gt;cknowledgements.- &lt;/span&gt;&lt;span lang="EN-US" style="font-size: 13.5pt; font-family: 'Calibri',sans-serif; color: black; mso-ansi-language: EN-US;"&gt;Notes.&lt;/span&gt;&lt;/p&gt;

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

SpringerBriefs in Economics

This book is novel in that it provides insights into the effects of information provision on people's perceptions and behavioral changes during the pandemic, and provides empirical evidence on its mechanisms and policy implications from different perspectives. It compares the different characteristics and effectiveness of information sources from the government, the news media, professionals in the field (health care workers), non-professional ordinary people, and the close environment, including family, friends, and colleagues. The consumer externality is the key concept in the analyses, as it identifies the effects of one's own consumption on the actions of others in constrained situations such as pandemics. Data from surveys conducted in Japan, the United States, and Germany suggest some implications for policymaking during a pandemic. One is related to differences in the characteristics of information. For example, information from experts in the field is perceived differently than information from other sources. Similarly, information from authorized organizations such as government and the news media remains critical in an emergency. Another relates to behavioral changes caused by the provision of information. Clearly, the effects of information on behavior change depend on the characteristics of the activity being addressed. We examine the effects on out-of-home and in-home activities during the pandemic, both of which focus on leisure activities, and show that the effects of information on each activity are quite different. Overall, this book provides empirical evidence for the importance of information dissemination policies that work with appropriate information providers and take into account country-specific attitudes to information.

Behavioral Change by Information Provision in a Pandemic

Management for Professionals

A Theory with Implications for Artificial Intelligence

On Operational Gaming, Vol. 2

Consumers around the world often give voluntary sums of money (called tips) to service providers after those workers have served them. There are no good measures of how much is tipped worldwide, but total tips in the US food and beverage industry alone are estimated to exceed $45 billion a year. Thus, tips represent more than small change and their salience and importance have grown in recent years with the advent of digital tipping, which has expanded both the number and types of services asking for tips and the size of tips they are asking for. Academic psychologists and other scholars have studied this topic for 50 years, but that information is locked away in academic journals and writing that is not easily accessible to the general public. This book brings that work together, along with new previously unpublished analyses, in readable prose that shares what we have learned about the topic – including why people tip, who are the best and worst tippers, why we tip some occupations and not others, why tipping norms vary across countries, and what factors influence the size of tips consumers leave. The insights revealed will benefit consumers struggling to navigate the complex and evolving expectations placed on them, tipped workers seeking to increase their incomes, managers of tipped workers interested in improving employee morale and customer satisfaction, and academics interested in further advancing our understanding of this fascinating behavior.

Scientific Insights for Services Customers, Workers, and Managers

The Psychology of Tipping

On Operational Gaming, Vol. 1

Contemporary Systems Thinking

This book investigates the social and economic behaviors exhibited by artificial intelligence, with a focus on trust, cooperation, and incentives. The first chapter examines the critical role of AI in decision-making and why understanding social and economic behavior is vital for improving AI interactions in both structured and dynamic environments. Subsequent chapters explore how AI systems such as deep reinforcement learning models simulate behaviors like trust and cooperation, and how large language models capture and reproduce patterns of social behaviors and economic incentives. By emphasizing behavioral analysis, the book aims to offer a scientific perspective on the mechanisms underlying AI’s interactions with human-like elements in decision-making. This interdisciplinary approach bridges artificial intelligence, economics, and social psychology to provide a comprehensive understanding of AI’s behavioral dynamics.

Theory and Experiments

The Social and Economic Behavior of AI Agents

This advanced text introduces the principles of noncooperative game theory in a direct and uncomplicated style that will acquaint students with the broad spectrum of the field while highlighting and explaining what they need to know at any given point. This advanced text introduces the principles of noncooperative game theory--including strategic form games, Nash equilibria, subgame perfection, repeated games, and games of incomplete information--in a direct and uncomplicated style that will acquaint students with the broad spectrum of the field while highlighting and explaining what they need to know at any given point. The analytic material is accompanied by many applications, examples, and exercises. The theory of noncooperative games studies the behavior of agents in any situation where each agent's optimal choice may depend on a forecast of the opponents' choices. "Noncooperative" refers to choices that are based on the participant's perceived selfinterest. Although game theory has been applied to many fields, Fudenberg and Tirole focus on the kinds of game theory that have been most useful in the study of economic problems. They also include some applications to political science. The fourteen chapters are grouped in parts that cover static games of complete information, dynamic games of complete information, static games of incomplete information, dynamic games of incomplete information, and advanced topics.

Game Theory

Law and Philosophy Library

In this book, John Finnis provides a virtually unparalleled, in-depth assessment of Leon Petrażycki’s work by a Western scholar. In the opening chapter, Finnis takes up the challenge of reading Petrażycki not simply as a historical curiosity of Eastern European jurisprudence but as a thinker whose wide-ranging and ambitious ideas continue to spark debate today. He critiques not only Petrażycki’s non-standard “economic analysis of law,” which differs markedly from the Chicago School model (not to mention from Guido Calabresi’s and Pietro Trimarchi’s versions), but also many other aspects of Petrażycki’s various contributions to jurisprudence. These include, above all, his legal-realistic but nonetheless appreciative treatment of the natural-law tradition(s), which makes Petrażycki both distinctive and difficult to classify in terms of standard schools of thought.Finnis’ essay is followed by nine further contributions. Written by scholars from different traditions and standpoints, they criticize, reassess, and elaborate upon Finnis’ arguments, creating a rich and multi-voiced dialogue. The volume concludes with Finnis’ own, extensive “concluding reflections,” in which he directly responds to his fellow contributors, clarifying his original questions and replying to the challenges raised in their chapters.This unique volume showcases Finnis’ insights, while enabling his interlocutors to highlight the depth and complexity of both Finnis’ and Petrażycki’s thought, as well as broader issues – more relevant now than ever – such as the differences between Catholic natural law, Orthodox natural law, and Petrażycki’s atheistic, humanistic, anti-speciesist ideal of substituting love for law and morality alike.

Ten Scholars in Dialogue on Legal Realism and Natural Law

Debating Finnis on Petrażycki

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This book explores the importance of mathematics&nbsp;(analysis, algebra, topology, probability, and inferential statistics) within the history and development of economics. It offers a long-term perspective on the links between mathematics and economics, taking into account the influence of historical events, to create a genealogy of quantitative economics. Starting with Aristotle and the early economic pioneers, such as Petty, Isnard, Cournot, Ricardo, Marx, and Walras, the development of economics over many centuries is charted, including marginalism, general equilibrium, neoclassical synthesis, linear economics, game theory, econometrics, financial theory, and artificial intelligence.
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<div>
This book provides insight into an overlooked part of economics’ history to create a new framework for economic analysis. It will be relevant to students and researchers interested in the history of economic thought from a quantitative perspective,&nbsp;filling a gap in the existing literature.
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From Aristotle to Artificial Intelligence

A History of Mathematics in Economics

Intelligent Data-Driven Systems and Artificial Intelligence

This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration into decision-aided intelligent systems. It provides a comprehensive understanding of aggregation operators and their role in data fusion, risk analysis, and expert opinion aggregation.<ul> <li>New aggregation operators, entropy measures, t-norm, and t-conorm structures are developed across multiple fuzzy set extensions to better model uncertainty and hesitation in decision-making.</li> <li>A wide range of real-world applications, including, tourism planning, smart cities, urban mobility, water security, smart campus automation, energy facility siting, and firefighting helicopter selection, are addressed using advanced multi-criteria decision making methods.</li> <li>The chapters collectively emphasize sustainable, data-driven, and uncertainty-aware decision support, contributing solutions in areas such as environmental protection, resource optimization, public services, and technological infrastructure.</li> <li>Innovative techniques, such as Lambert W-based aggregation operators, Choquet integral-based entropy, confidence-level aggregation, and fuzzy-machine learning hybrid models, improve the representation of interaction, ambiguity, and complexity in multi-criteria decision problems.</li> </ul>The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including mathematics, industrial engineering, supply chain management, operations research, manufacturing engineering, production engineering, and applied mathematics.

Aggregation in Decision-Aided Intelligent Systems

Fuzzy Sets and Triangular Norms

Busting the myth of “groupthink,” a powerful look at how our ability to influence one another can accelerate individual and collective intelligence. A leading expert on social networks and behavior change delivers new principles of social influence to improve collective intelligence. For years, scientists have struggled to discover the formula to produce the world’s smartest teams. But the solution has been elusive&nbsp;because they have focused on individual intelligences. In Goodthink, Damon Centola shows how to build teams, design online platforms, and create office spaces that sharpen our thinking individually and align our intelligence collectively. The secret, it turns out, is in the shape of our networks. How did MIT’s Building 20, populated with outcasts and eccentrics, become one of the most innovative and productive research hubs in American history? Why did increasing the number of online echo chambers unexpectedly reduce political polarization? How can popular “herding behavior” make crowds more intelligent? This book has the answers. Taking us behind the scenes of the most successful systems of collective intelligence in the modern world, it introduces a new science of what it means to be smart. Every day, each of us faces four critical decision-making challenges: choosing, coordination, cooperation, and creativity. Goodthink describes the tell-tale signs of when effective structures are at work, enabling us to “read the room” and begin to shift the dynamics at play. It also reveals how to know when things are failing and what to do to fix them. Delivering path-breaking insights currently at work within Fortune 500 companies, global philanthropic organizations, and government agencies, the book reveals underlying dynamics of group intelligence that have gone overlooked. Showing us how these principles work to make us feel more confident, more connected, and more engaged, Goodthink leaves us feeling smarter—because we are!

The New Science of Collective Intelligence

Goodthink

Written for investors, strategists, and family offices seeking new models of decision making inspired by natural intelligence.

Lessons for Human Behavior, Innovation and Strategic Investment for Family Offices

The Intelligence of Bees

WHAT ABOUT ME ISM

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