Several popular arguments against teaching business ethics are examined: (a) the ethical duty of business people is to maximize profit within the law, whence the irrelevance of ethics courses (the Milton Friedman argument); (b) business people respond to economic and legal incentives, not to ethical sentiments, which means that teaching ethics will have no effect; (c) one cannot study ethics in any meaningful sense anyway, because it is a matter of personal preference and is unsusceptible to rational treatment; (d) moral (...) character is formed in early childhood, not while sitting in ethics class; and (e) business students see no motivation to study ethics and will not take it seriously. The mistakes and confusion that underlie these arguments are exposed. (shrink)

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though "solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks... it is the mathematical structure of a problem that determines whether an optimization model can help solve it, not the context in which the problem occurs." Presenting powerful, proven optimization techniques for (...) logic inference problems, Chandru and Hooker show how optimization models can be used not only to solve problems in artificial intelligence and mathematical programming, but also have tremendous application in complex systems in general. They survey most of the recent research from the past decade in logic/optimization interfaces, incorporate some of their own results, and emphasize the types of logic most receptive to optimization methods-propositional logic, first order predicate logic, probabilistic and related logics, logics that combine evidence such as Dempster-Shafer theory, rule systems with confidence factors, and constraint logic programming systems. Requiring no background in logic and clearly explaining all topics from the ground up, Optimization Methods for Logical Inference is an invaluable guide for scientists and students in diverse fields, including operations research, computer science, artificial intelligence, decision support systems, and engineering. (shrink)

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. This concise and engaging Advanced Introduction provides the conceptual tools necessary to make ethical decisions in today's business world. John Hooker provides an objective and closely-reasoned analysis of ethical issues based on a (...) unified conceptual framework that distils the best of ethical thought into three clearly articulated principles: the generalization, utilitarian, and autonomy principles. Key features include: examples and case studies that illustrate ethical reasoning in complex business dilemmas exploration of business ethics in relation to environmental, social, and financial sustainability factors coverage of cross-cultural business ethics, technological unemployment, and the ethics of artificial intelligence and machine learning. This Advanced Introduction will be a valuable resource for academics and advanced students of business ethics and trust, business leadership, and corporate social responsibility. It will also be beneficial for business managers who wish to build an ethical organization, as well as technical personnel who incorporate ethics into automated systems. (shrink)

A pioneering look at the fundamental role of logic in optimizationand constraint satisfaction While recent efforts to combine optimization and constraintsatisfaction have received considerable attention, little has beensaid about using logic in optimization as the key to unifying thetwo fields. Logic-Based Methods for Optimization develops for thefirst time a comprehensive conceptual framework for integratingoptimization and constraint satisfaction, then goes a step furtherand shows how extending logical inference to optimization allowsfor more powerful as well as flexible modeling and solutiontechniques. Designed to (...) be easily accessible to industryprofessionals and academics in both operations research andartificial intelligence, the book provides a wealth of examples aswell as elegant techniques and modeling frameworks ready forimplementation. Timely, original, and thought-provoking,Logic-Based Methods for Optimization: * Demonstrates the advantages of combining the techniques inproblem solving * Offers tutorials in constraint satisfaction/constraintprogramming and logical inference * Clearly explains such concepts as relaxation, cutting planes,nonserial dynamic programming, and Bender's decomposition * Reviews the necessary technologies for software developersseeking to combine the two techniques * Features extensive references to important computationalstudies * And much more. (shrink)

This book develops an intellectual framework for analyzing ethical dilemmas that is both grounded in theory and versatile enough to deal rigorously with real-world issues. It sees ethics as a necessary foundation for the social infrastructure that makes modern life possible, much as engineering is a foundation for physical infrastructure. It is not wedded to any particular ethical philosophy but draws from several traditions to construct a unified and principled approach to ethical reasoning. Rather than follow the common academic practice (...) of seeking a reflective equilibrium of moral intuitions and principles, it builds on a few bedrock principles of rational thought that serve as criteria for valid argumentation. It develops the ideas from the ground up, without presupposing any background in ethics or philosophy. Epistemologically, the book views ethics as parallel to mathematics, in that it relies on generally accepted proof techniques to establish results. Whereas mathematics rests on such proof paradigms as mathematical induction and proof by contradiction, ethics can be seen as relying on proof by applying consistency tests, such as generalizability and respect for autonomy. Utilitarianism also plays a key role, but it is reconceived as a deontological criterion. This approach obviously requires that these criteria be formulated more rigorously than is normally the case. To accomplish this, the book begins with the classical idea that an action is distinguishable from mere behavior by virtue of its having a coherent rationale, where coherence requires passing certain consistency tests such as generalizability. An action is therefore inseparable from its rationale, and generalizability is defined in terms of consistency with the rationale. A utilitarian criterion receives a similar treatment with respect to a means-end rationale. Respect for autonomy is grounded in a carefully developed action theory that takes into account such concepts as joint autonomy, implied consent, and the permissibility of interference with unethical behavior. It provides an account of responsibility that is both practical and theoretically satisfying, and it yields a novel solution of the much-discussed trolley car dilemmas. The book is written for a general audience and strives to be as readable and engaging as possible, while maintaining rigor. It begins by dispelling a raft of misconceptions that trivialize ethics and block its development as an essential tool of modern life, such as the notion that ethics is just a matter of opinion without rational foundation. After presenting the ethical principles just described, along with many examples, it provides several chapters that analyze real-life dilemmas, many obtained from the author's students and professional workshop participants. One cannot understand physics or chemistry without seeing how their principles are applied to real problems, and the same is true of ethics. These chapters demonstrate that a unified normative theory can deal with a wide range of real cases while achieving a reasonable level of objectivity and rigor. (shrink)