Incentive Plans and Multi-agent Information Sharing PDF Download

Author: Susan Pickard Ravenscroft
Publisher:
ISBN:
Category : Bonuses (Employee fringe benefits)
Languages : en
Pages : 356

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Author: Jean-Jacques Laffont
Publisher: Princeton University Press
ISBN: 1400829453
Category : Business & Economics
Languages : en
Pages : 436

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Book Description
Economics has much to do with incentives--not least, incentives to work hard, to produce quality products, to study, to invest, and to save. Although Adam Smith amply confirmed this more than two hundred years ago in his analysis of sharecropping contracts, only in recent decades has a theory begun to emerge to place the topic at the heart of economic thinking. In this book, Jean-Jacques Laffont and David Martimort present the most thorough yet accessible introduction to incentives theory to date. Central to this theory is a simple question as pivotal to modern-day management as it is to economics research: What makes people act in a particular way in an economic or business situation? In seeking an answer, the authors provide the methodological tools to design institutions that can ensure good incentives for economic agents. This book focuses on the principal-agent model, the "simple" situation where a principal, or company, delegates a task to a single agent through a contract--the essence of management and contract theory. How does the owner or manager of a firm align the objectives of its various members to maximize profits? Following a brief historical overview showing how the problem of incentives has come to the fore in the past two centuries, the authors devote the bulk of their work to exploring principal-agent models and various extensions thereof in light of three types of information problems: adverse selection, moral hazard, and non-verifiability. Offering an unprecedented look at a subject vital to industrial organization, labor economics, and behavioral economics, this book is set to become the definitive resource for students, researchers, and others who might find themselves pondering what contracts, and the incentives they embody, are really all about.

Author: Reyhan Aydoğan
Publisher: Springer Nature
ISBN: 3031212037
Category : Computers
Languages : en
Pages : 714

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Book Description
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully reviewed and selected from 100 submissions. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.

Author: Ariel Rosenfeld
Publisher: Springer Nature
ISBN: 3030822540
Category : Computers
Languages : en
Pages : 292

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Book Description
This book constitutes the revised post-conference proceedings of the 18th European Conference on Multi-Agent Systems, EUMAS 2021. The conference was held online in June, 2021. 16 full papers are presented in this volume, each of which carefully reviewed and selected from a total of 51 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems.

Author: Jürgen Dix
Publisher: Springer
ISBN: 3642161782
Category : Computers
Languages : en
Pages : 233

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Book Description
Annotation. This book constitutes the proceedings of the 8th German Conference on Multiagent System Technologies held in Leipzig, Germany, in September 2010.

Author: Boi Mirsky
Publisher: Springer Nature
ISBN: 3031015770
Category : Computers
Languages : en
Pages : 135

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Book Description
Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

Author: Nick Bassiliades
Publisher: Springer Nature
ISBN: 3030664120
Category : Computers
Languages : en
Pages : 612

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Book Description
This book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems.

Author: Cristina Baroglio
Publisher: Springer Nature
ISBN: 3030665348
Category : Computers
Languages : en
Pages : 163

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to the COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.

Author: Frans A. Oliehoek
Publisher: Springer
ISBN: 3319289292
Category : Computers
Languages : en
Pages : 146

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Book Description
This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.

Author: Joel Demski
Publisher: Springer Science & Business Media
ISBN: 0387774513
Category : Business & Economics
Languages : en
Pages : 504

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Book Description
The second edition of Dr. Demski’s book reflects his experiences teaching undergraduates, masters and doctoral students. He emphasizes economic fundamentals as the guiding foundation coupled with an artful application of those fundamentals. This applies to product costing, decision making and evaluation art. Dr. Demski has also removed a great deal of traditional minutiae, in order to keep this theme in constant focus. This thematic approach, in his experience, works in dramatic fashion, and stands in sharp contrast to more traditional presentations of this material. The book is not only for use as a textbook but also as a reference book.