Titlebook: Network Theory and Agent-Based Modeling in Economics and Finance; Anindya S. Chakrabarti,Luká? Pichl,Taisei Kaizoji Book 2019 Springer Nat

Physiatrist

Fissure

Simulated Maximum Likelihood Estimation of Agent-Based Models in Economics and Financemization problems. Using simulation analysis, we show that the estimator consistently recovers the pseudo-true parameters with high estimation precision. We further study the impact of agents’ memory on the estimation performance and show that while memory generally deteriorates the precision, the m

鋼筆尖

辯論

Is Life (or at Least Socioeconomic Aspects of It) Just Spin and Games?ons of empirical phenomena. At the same time, while models of rational agents who strategically make choices based on complete information so as to maximize their utility are commonly used in economics, many physicists consider them to be caricature of reality. We show here that while these contrast

jet-lag

Book 2019 be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of co

Dignant

Pradeep Bhadola,Nivedita Deon, denen in der aktuellen Fachdebatte eine zentrale Bedeutung zukommt. Aus einer hegemonietheoretisch gestützten konstruktiven Kritik der Sinnbildkonstruktionen werden Schlussfolgerungen für eine Theorie von Bildungs- und Lernprozessen gezogen, die sich in978-3-658-42257-8978-3-658-42258-5Series ISSN 2626-3343 Series E-ISSN 2626-3351

adhesive

nomic networks have huge policy implications in stabilizing This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evo

initiate

Diversification by Self-reinforcement of Preferences and Change of Interaction Typelations in which each agent can change the interaction type. We show that in a mixed population of agents who play either game, the behaviors and games become heterogeneous and the ratio of cooperative agents becomes 80% and the average utility is stable high.