Book Reviews

2019 ◽  
Vol 57 (3) ◽  
pp. 693-695
Keyword(s):  
Graduate Students ◽  
Empirical Work ◽  
Computational Economics ◽  
Modeling Framework ◽  
Heterogeneous Agent ◽  
Agent Modeling ◽  
Critical Part ◽  
Hamilton College ◽  
Behavioral Heterogeneity

Christophre Georges of the Department of Economics, Hamilton College reviews “Handbook of Computational Economics. Volume 4. Heterogeneous Agent Modeling,” edited by Cars Hommes and Blake LeBaron. The Econlit abstract of this book begins: “Fourteen papers, comprising a handbook for professional researchers and advanced graduate students, survey behavioral heterogeneity as a critical part of the modeling framework and empirical work.”

Book Reviews

2016 ◽  
Vol 54 (4) ◽  
pp. 1394-1395
Keyword(s):  
Graduate Students ◽  
Behavioral Economics ◽  
Market Analysis ◽  
Computational Economics ◽  
State University ◽  
Iowa State University ◽  
Agent Based ◽  
Economic Agents ◽  
Artificial Economic Agents

Leigh Tesfatsion of Iowa State University reviews “Agent-Based Computational Economics: How the Idea Originated and Where It Is Going,” by Shu-Heng Chen. The Econlit abstract of this book begins: “Aimed at graduate students researching computational economics, experimental economics, behavioral economics, and research methodology, presents an explanation of agent-based computational economics (ACE) and how it brings decentralized procedures into market analysis, including how artificial economic agents are designed.”

Book Reviews

2016 ◽  
Vol 54 (2) ◽  
pp. 589-591
Keyword(s):  
Graduate Students ◽  
Mechanism Design ◽  
Incentive Compatibility ◽  
Dominant Strategy ◽  
University Of Michigan ◽  
Dynamic Mechanism Design ◽  
Temple University ◽  
The University ◽  
Robust Mechanism Design

Dimitrios Diamantaras of Temple University reviews “An Introduction to the Theory of Mechanism Design,” by Tilman Börgers. The Econlit abstract of this book begins: “Presents explanations of classic results in the theory of mechanism design and examines the frontiers of research in mechanism design in a text written for advanced undergraduate and graduate students of economics who have a good understanding of game theory. Discusses screening; examples of Bayesian mechanism design; examples of dominant strategy mechanisms; incentive compatibility; Bayesian mechanism design; dominant strategy mechanisms; nontransferable utility; informational interdependence; robust mechanism design; and dynamic mechanism design. Börgers is Samuel Zell Professor of the Economics of Risk at the University of Michigan.”

Research on Simulation Techniques of Space Information Confrontation Based on Agent and HLA

2011 ◽  
Vol 121-126 ◽  
pp. 4112-4116
Author(s):  
Wei Kui Wang ◽  
Xin Hui Zhang ◽  
Shi Liang Yang ◽  
Yun Liu
Keyword(s):  
Development Trend ◽  
Effect Evaluation ◽  
Simulation Technology ◽  
Modeling Framework ◽  
Agent Modeling ◽  
Simulation Techniques ◽  
Simulation Based ◽  
Key Technologies ◽  
The Development Trend ◽  
Simulation Systems

This paper analyzes the shortcomings of the present applications of the space information confrontation simulation technology in the light of the development trend of the technology and points out establishing simulation platforms based on the HLA and Agent technologies is an effective method to carry out the demonstration and effect evaluation of space information confrontation systems. this paper also proposes an information confrontation Agent modeling framework and an architecture of space information confrontation simulation systems and describes several key technologies needing to be noted in the simulation based on the Agent and HLA technologies.

Book Reviews

2017 ◽  
Vol 55 (2) ◽  
pp. 644-647
Keyword(s):  
Agent Based Modeling ◽  
Agent Based Models ◽  
Agent Based ◽  
Practical Guide ◽  
Interacting Agents ◽  
Hamilton College ◽  
Heterogeneous Interacting Agents

Christophre Georges of the Department of Economics, Hamilton College reviews “Economics with Heterogeneous Interacting Agents: A Practical Guide to Agent-Based Modeling,” edited by Alessandro Caiani, Alberto Russo, Antonio Palestrini, and Mauro Gallegati. The Econlit abstract for this book begins: “Text for graduate and PhD students, as well as undergraduates with some knowledge of computers and economics comprises four papers emerging from a workshop on agent-based modeling held by the Dipartimento di Scienze Economiche e Sociali at the Università Politecnica delle Marche. Presents a guide to agent-based models (ABM) and the technicalities that need to be solved in order to evaluate the effect of different rules and their switching.”

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