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Author: Jacob Glazer Publisher: World Scientific Publishing Company ISBN: 9813141336 Category : Business & Economics Languages : en Pages : 153
Book Description
This book brings together the authors' joint papers from over a period of more than twenty years. The collection includes seven papers, each of which presents a novel and rigorous model in Economic Theory. All of the models are within the domain of implementation and mechanism design theories. These theories attempt to explain how incentive schemes and organizations can be designed with the goal of inducing agents to behave according to the designer's (principal's) objectives. Most of the literature assumes that agents are fully rational. In contrast, the authors inject into each model an element which conflicts with the standard notion of full rationality, demonstrating how such elements can dramatically change the mechanism design problem. Although all of the models presented in this volume touch on mechanism design issues, it is the formal modeling of bounded rationality that the authors are most interested in. A model of bounded rationality signifies a model that contains a procedural element of reasoning that is not consistent with full rationality. Rather than looking for a canonical model of bounded rationality, the articles introduce a variety of modeling devices that will capture procedural elements not previously considered, and which alter the analysis of the model. The book is a journey into the modeling of bounded rationality. It is a collection of modeling ideas rather than a general alternative theory of implementation.
Author: Jacob Glazer Publisher: World Scientific Publishing Company ISBN: 9813141336 Category : Business & Economics Languages : en Pages : 153
Book Description
This book brings together the authors' joint papers from over a period of more than twenty years. The collection includes seven papers, each of which presents a novel and rigorous model in Economic Theory. All of the models are within the domain of implementation and mechanism design theories. These theories attempt to explain how incentive schemes and organizations can be designed with the goal of inducing agents to behave according to the designer's (principal's) objectives. Most of the literature assumes that agents are fully rational. In contrast, the authors inject into each model an element which conflicts with the standard notion of full rationality, demonstrating how such elements can dramatically change the mechanism design problem. Although all of the models presented in this volume touch on mechanism design issues, it is the formal modeling of bounded rationality that the authors are most interested in. A model of bounded rationality signifies a model that contains a procedural element of reasoning that is not consistent with full rationality. Rather than looking for a canonical model of bounded rationality, the articles introduce a variety of modeling devices that will capture procedural elements not previously considered, and which alter the analysis of the model. The book is a journey into the modeling of bounded rationality. It is a collection of modeling ideas rather than a general alternative theory of implementation.
Author: Luyao Zhang (Ph. D. in economics) Publisher: ISBN: Category : Cognitive psychology Languages : en Pages : 146
Book Description
In the history of economic thought lies a dilemma for future economists: should we adopt simple models with unrealistic assumptions, or should we describe human behavior closely but give up elegant abstractions? In the projects above, we endeavor to create a middle way that synthesizes the merits in both directions and leave unanswered questions for future researchers.
Author: Luyao Zhang Publisher: ISBN: Category : Languages : en Pages : 48
Book Description
Substantial evidence in field, lab and thought experiments in multiple disciplines, shows that decision makers often choose a dominated strategy, which contradicts with current economic theory. To bridge this gap between theory and evidence, first, we propose two alternative axiomatic approaches, formalizing a distinct defect in human reasoning and tying together a broad range of evidence for the choice of dominated strategies. Second, we extend the theory to game theory and mechanism design, where we identify a rich class of mechanisms that successfully achieve desirable goals even with boundedly rational agents or agents who mistrust the market makers. Third, we test and verify our theory and its implications by a laboratory experiment. Finally, we address how our approach contributes to accomplishing two goals simultaneously in modelling bounded rationality: stimulating transdisciplinary conversations and providing a unified framework.
Author: Suren Basov Publisher: Springer ISBN: 9811010412 Category : Business & Economics Languages : en Pages : 181
Book Description
This book investigates the ways in which social norms and bounded rationality shape different contracts in the real world. It brings into focus existing research into optimal contracts, draws important lessons from that research, and outlines prospects for future investigation. Bounded rationality has acknowledged effects on the power of incentive provisions, such as deviations from sufficient statistic theorem, the power of optimal incentives, and the effects of optimal contracts in multicultural environments. The introduction of social norms to bounded rationality opens up new avenues of investigation into contracts and mechanism design. This book makes an important contribution to the study of bounded rationality by pulling together many separate strands of research in the area of mechanism design, and providing detailed analysis of the impact of societal values on contracts.
Author: Ariel Rubinstein Publisher: MIT Press ISBN: 9780262681001 Category : Business & Economics Languages : en Pages : 226
Book Description
The notion of bounded rationality was initiated in the 1950s by Herbert Simon; only recently has it influenced mainstream economics. In this book, Ariel Rubinstein defines models of bounded rationality as those in which elements of the process of choice are explicitly embedded. The book focuses on the challenges of modeling bounded rationality, rather than on substantial economic implications. In the first part of the book, the author considers the modeling of choice. After discussing some psychological findings, he proceeds to the modeling of procedural rationality, knowledge, memory, the choice of what to know, and group decisions.In the second part, he discusses the fundamental difficulties of modeling bounded rationality in games. He begins with the modeling of a game with procedural rational players and then surveys repeated games with complexity considerations. He ends with a discussion of computability constraints in games. The final chapter includes a critique by Herbert Simon of the author's methodology and the author's response. The Zeuthen Lecture Book series is sponsored by the Institute of Economics at the University of Copenhagen.
Author: Bertrand Munier Publisher: ISBN: Category : Languages : en Pages : 16
Book Description
This paper deals with bounded rationality as a way to describe behavior and focuses on the question of how to build such boundedly rational models. The first part is a discussion of the reasons why such models are needed and on the situations in which they can be regarded as more particularly useful. The second part examines three strategies of research towards bounded rationality modeling which have emerged in the last ten years and weights them. The concluding remarks offer a first link between the respective typologies of strategies and of situations and calls for additional experimental work by marketing scientists and economists together.
Author: Kagan Tumer Publisher: Springer Science & Business Media ISBN: 1441989099 Category : Mathematics Languages : en Pages : 329
Book Description
Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high dimensional spaces. Given the difficulty of performing such high-dimensional op timization with modern computers, there has been a lot of exploration of computa tional algorithms that try to emulate those naturally-occurring function optimizers. Examples include simulated annealing (SA [15,18]), genetic algorithms (GAs) and evolutionary computation [2,3,9,11,20-22,24,28]. The ultimate goal of this work is an algorithm that can, for any provided high-dimensional function, come close to extremizing that function. Particularly desirable would be such an algorithm that works in an adaptive and robust manner, without any explicit knowledge of the form of the function being optimized. In particular, such an algorithm could be used for distributed adaptive control---one of the most important tasks engineers will face in the future, when the systems they design will be massively distributed and horribly messy congeries ofcomputational systems.
Author: Gabriel Drew Carroll Publisher: ISBN: Category : Languages : en Pages : 289
Book Description
This dissertation ties together three papers on mechanism design with boundedly rational agents. These papers explore theoretically whether, and to what extent, limitations on agents' ability to strategically misrepresent their preferences can help a mechanism designer achieve outcomes that she could not achieve with perfectly rational agents. The first chapter investigates whether local incentive constraints are sufficient to logically imply full incentive-compatibility, in a variety of mechanism design settings. This can be motivated by a boundedly rational model in which agents cannot contemplate all possible misrepresentations, but can consider those that are close to their true preferences. This chapter offers a unified approach that covers both continuous and discrete type spaces, showing that in many commonly studied cases, local incentive-compatibility (suitably defined) implies full incentive-compatibility. The second chapter advances the methodology of looking quantitatively at incentives for strategic behavior, motivated by the premise that agents will be truthful if the incentive to be strategic is small enough. This chapter defines a mechanism's susceptibility to manipulation as the maximum amount of expected utility any agent can ever gain from strategic misrepresntation. This measure of susceptibility is then applied to anonymous voting rules. One set of results estimates the susceptibility of specific voting rules; an important finding is that several voting systems previously identified as resistant to manipulation are actually more susceptible than simple plurality rule, by the measure proposed here. A second set of results gives asymptotic lower bounds on susceptibility for any possible voting rule, under various combinations of efficiency, regularity, and informational conditions. These results illustrate how one can quantitatively explore the tradeoffs between susceptibility and other properties of the voting rule. The third chapter carries the methodology of the second chapter to a market environment: unit-demand, private-value double auction markets. This chapter quantitatively studies the tradeoff between inefficiency and susceptibility to manipulation, among all possible mechanisms for such markets. The main result approximately locates the possibility frontier, pinning it down within a factor that is logarithmic in the size of the market.
Author: Geoffroy de Clippel Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
We consider mechanism design in contexts in which agents exhibit bounded depth of reasoning (level k) instead of rational expectations. We use simple direct mechanisms, in which agents report only first-order beliefs. While level 0 agents are assumed to be truth tellers, level k agents best-respond to their belief that other agents have at most k-1 levels of reasoning. We find that incentive compatibility is necessary for implementation in this framework, while its strict version alone is sufficient. Adding continuity to both directions, the same results are obtained for continuous implementation with respect to small modeling mistakes. We present examples to illustrate the permissiveness of our findings in contrast to earlier related results under the assumption of rational expectations.
Author: Jacob Glazer
Author: Jacob Glazer
Author: Luyao Zhang (Ph. D. in economics)
Author: Luyao Zhang
Author: SaangJoon Baak
Author: Suren Basov
Author: Ariel Rubinstein
Author: Bertrand Munier
Author: Kagan Tumer
Author: Gabriel Drew Carroll
Author: Geoffroy de Clippel