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Author: Ariel Rosenfeld
Publisher: Morgan & Claypool Publishers
ISBN: 1681732750
Category : Computers
Languages : en
Pages : 152
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Book Description
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.
Author: Ariel Rosenfeld
Publisher: Morgan & Claypool Publishers
ISBN: 1681732750
Category : Computers
Languages : en
Pages : 152
Get Book Here
Book Description
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.
Author: Ariel Geib
Publisher: Springer Nature
ISBN: 3031015789
Category : Computers
Languages : en
Pages : 134
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Book Description
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.
Author: Peter A. Facione
Publisher: Insight Assessment
ISBN:
Category : Education
Languages : en
Pages : 236
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Book Description
Author: Victor Vroom
Publisher: University of Pittsburgh Pre
ISBN: 0822974142
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
It has become a truism that "leadership depends upon the situation," but few behavioral scientists have attempted to go beyond that statement to examine the specific ways in which leaders should and do vary their behavior with situational demands. Vroom and Yetton select a critical aspect of leadership style-the extent to which the leader encourages the participation of his subordinates in decision-making. They describe a normative model which shows the specific leadership style called for in different classes of situations. The model is expressed in terms of a "decision tree" and requires the leader to analyze the dimensions of the particular problem or decision with which he is confronted in order to determine how much and in what way to share his decision-making power with his subordinates. Other chapters discuss how leaders behave in different situations. They look at differences in leadership styles, and what situations induce people to display autocratic or participative behavior.
Author: Rabeea Assy
Publisher: Oxford University Press
ISBN: 0192590766
Category : Law
Languages : en
Pages : 305
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Book Description
This collection is in honour of Adrian Zuckerman, Emeritus Professor of Civil Procedure at the University of Oxford. Bringing together a distinguished group of judges and academics to reflect on the impact of his work on our understanding of civil procedure and evidence today. An internationally renowned scholar, Professor Zuckerman has dedicated his professional life to the law of evidence and civil procedure, drawing attention to the principles and policies that shape litigation practice and their wider social impact. His pioneering scholarship is admired by the judiciary and the academy and has influenced several major reforms of the civil justice system including the Woolf Reforms that heralded the introduction of the Civil Procedure Rules, and Lord Justice Jackson's Review of Civil Litigation Costs. His work has also informed law reform bodies and courts in other jurisdictions. Building upon Professor Zuckerman's work, the contributors address outstanding problems in the field of civil procedure and evidence, and in keeping with Adrian's record of always exploring new areas, the book includes chapters on the prospects for a digital justice system, including the new online court being developed in England and the potential role of algorithms in the court room.
Author: Sarah Lichtenstein
Publisher: Cambridge University Press
ISBN: 1139457780
Category : Psychology
Languages : en
Pages : 709
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Book Description
One of the main themes that has emerged from behavioral decision research during the past three decades is the view that people's preferences are often constructed in the process of elicitation. This idea is derived from studies demonstrating that normatively equivalent methods of elicitation (e.g., choice and pricing) give rise to systematically different responses. These preference reversals violate the principle of procedure invariance that is fundamental to all theories of rational choice. If different elicitation procedures produce different orderings of options, how can preferences be defined and in what sense do they exist? This book shows not only the historical roots of preference construction but also the blossoming of the concept within psychology, law, marketing, philosophy, environmental policy, and economics. Decision making is now understood to be a highly contingent form of information processing, sensitive to task complexity, time pressure, response mode, framing, reference points, and other contextual factors.
Author: Martha Garcia-Murillo
Publisher: Edward Elgar Publishing
ISBN: 1800889976
Category : Computers
Languages : en
Pages : 405
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Book Description
With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.
Author: Daniel Kahneman
Publisher: Little, Brown
ISBN: 031645138X
Category : Business & Economics
Languages : en
Pages : 429
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Book Description
From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.
Author: Kartik Hosanagar
Publisher: Penguin
ISBN: 0525560904
Category : Business & Economics
Languages : en
Pages : 274
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Book Description
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
Author: Morris Altman
Publisher: Edward Elgar Publishing
ISBN: 1782549595
Category : Business & Economics
Languages : en
Pages : 607
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Book Description
This Handbook is a unique and original contribution of over thirty chapters on behavioural economics, examining and addressing an important stream of research where the starting assumption is that decision-makers are for the most part relatively smart or rational. This particular approach is in contrast to a theme running through much contemporary work where individuals’ behaviour is deemed irrational, biased, and error-prone, often due to how people are hardwired. In the smart people approach, where errors or biases occur and when social dilemmas arise, more often than not, improving the decision-making environment can repair these problems without hijacking or manipulating the preferences of decision-makers. This book covers a wide-range of themes from micro to macro, including various sub-disciplines within economics such as economic psychology, heuristics, fast and slow-thinking, neuroeconomics, experiments, the capabilities approach, institutional economics, methodology, nudging, ethics, and public policy.
