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Author: Tatiana Valentine Guy Publisher: Springer Science & Business Media ISBN: 3642246478 Category : Technology & Engineering Languages : en Pages : 195
Book Description
Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?
Author: Tatiana Valentine Guy Publisher: Springer Science & Business Media ISBN: 3642246478 Category : Technology & Engineering Languages : en Pages : 195
Book Description
Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?
Author: Tatiana Guy Publisher: Springer ISBN: 9783642364075 Category : Computers Languages : en Pages : 187
Book Description
Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: · how a crowd of imperfect decision makers outperforms experts' decisions; · how to decrease decision makers' imperfection by reducing knowledge available; · how to decrease imperfection via automated elicitation of DM preferences; · a human's limited willingness to master the available decision-support tools as an additional source of imperfection; · how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
Author: David A. Welch Publisher: Prometheus Books ISBN: 1615921524 Category : Self-Help Languages : en Pages : 296
Book Description
You''re tempted to accept a promising job offer in another city, but moving would entail considerable sacrifice on the part of your family. What should you do? Your elderly mother can no longer take care of herself but she doesn''t get along with your husband and dreads the prospect of moving into a nursing home. What is the solution? Whether you are faced with decisions momentous or trivial, how you go about resolving everyday dilemmas will definitely affect your level of satisfaction in life. In this engrossing and entertaining guide, David Welch, who has studied the decision-making process at the highest levels, shows how both the science and the art of decision-making are essential to us all. Welch lays out nine steps to effective decision-making and then demonstrates how to apply these steps to real-world situations. He gives readers the intellectual tools to assess their strengths and weaknesses and stresses that self-knowledge is critical for making the right decisions. This enjoyable, clearly written guide will enable decision-makers at every level to find the best possible solution for dilemmas both big and small.
Author: Tatiana V Guy Publisher: Springer ISBN: 3642364063 Category : Technology & Engineering Languages : en Pages : 187
Book Description
Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: · how a crowd of imperfect decision makers outperforms experts' decisions; · how to decrease decision makers' imperfection by reducing knowledge available; · how to decrease imperfection via automated elicitation of DM preferences; · a human's limited willingness to master the available decision-support tools as an additional source of imperfection; · how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
Author: Tatiana Valentine Guy Publisher: ISBN: 9783319151458 Category : Artificial intelligence Languages : en Pages : 184
Book Description
This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selƠ̐lsh decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: ĺØ task allocation to maximize ĺlthe wisdom of the crowdĺl; ĺØ design of a society of ĺledutainmentĺl robots who account for one anothersĺl emotional states; ĺØ recognizing and counteracting seemingly non-rational human decision making; ĺØ coping with extreme scale when learning causality in networks; ĺØ efƠ̐lciently incorporating expert knowledge in personalized medicine; ĺØ the effects of personality on risky decision making. The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other Ơ̐lelds.
Author: Publisher: Harvard Business Press ISBN: 1422160831 Category : Business & Economics Languages : en Pages : 168
Book Description
Decision making is a critical part of management, and bad choices can damage careers and the bottom line. This book offers the tools and advice managers need to avoid common biases and arrive at and implement decisions that are both sound and ethical. The Harvard Business Essentials series provides comprehensive advice, personal coaching, background information, and guidance on the most relevant topics in business. Whether you are a new manager seeking to expand your skills or a seasoned professional looking to broaden your knowledge base, these solution-oriented books put reliable answers at your fingertips.
Author: Stephen J. Hoch Publisher: John Wiley & Sons ISBN: 9780471689386 Category : Business & Economics Languages : en Pages : 356
Book Description
Perspectives from leaders in decision science at Wharton Organized in part through Wharton's Risk Management and Decision Processes Center, the book assembles leading researchers from Wharton's business faculty who demonstrate how to apply the latest approaches in decision-making from four perspectives: personal, managerial, negotiator, and consumer. Each chapter describes how decisions are actually made, presents the ideal scenario, and then provides practical suggestions for improvement. The subjects range from when consumers will choose variety, integrating intuition into decisions, and applying game theory and strategic decisions, to decision factors in negotiations and how choices are made about insurance and health care.
Author: Simon Mueller Publisher: Pearson UK ISBN: 1292129360 Category : Business & Economics Languages : en Pages : 230
Book Description
The Decision Maker's Playbook is an easy-to-use, “how-to” toolkit to improve managers' decision making, using visualisations, relevant examples and actionable checklists that cater to its main target group: analytically interested, busy managers and entrepreneurs. The Decision Maker's Playbook will help readers navigate a complex world. Along the four chapters of the books, it will help you in: 1. Collective Evidence 2. Connecting the Dots 3. Crafting the Approach 4. Complete the Mission The Decision Maker's Playbook is your personal toolbox to help you make better decisions. It offers practical advice to help you understand, analyse and shape your world. As simplified representations of reality, the models portrayed in this book allow us to see patterns, identify relationships, and view the world from different vantage points. They help us understand and break up complex phenomena into tractable pieces. From Unknown unknowns over Fat Tails to Counterfactuals, this book will make lesser known but highly relevant models available for immediate use – in a visual way, supported by applicable case studies and without jargon.
Author: Tatiana Valentine Guy
Author: Tatiana Valentine Guy
Author: Tatiana Guy
Author: David A. Welch
Author: Tatiana V Guy
Author: Tatiana Valentine Guy
Author: 
Author: Stephen J. Hoch
Author: Simon Mueller
Author: John W. Payne
Author: Robbie Steinhouse