計(jì)算經(jīng)濟(jì)學(xué)是計(jì)算經(jīng)濟(jì)學(xué)學(xué)會的官方期刊，它介紹了一個快速發(fā)展的多學(xué)科領(lǐng)域的新研究，利用先進(jìn)的計(jì)算能力從經(jīng)濟(jì)學(xué)的各個分支理解和解決復(fù)雜的問題。計(jì)算經(jīng)濟(jì)學(xué)的主題包括計(jì)量經(jīng)濟(jì)學(xué)中的計(jì)算方法，如濾波、貝葉斯和非參數(shù)方法、馬爾可夫過程和蒙特卡羅模擬;基于代理的方法，機(jī)器學(xué)習(xí)，進(jìn)化算法，(神經(jīng))網(wǎng)絡(luò)建模;計(jì)算方面的動態(tài)系統(tǒng)，優(yōu)化，最優(yōu)控制，對策，平衡建模;硬件和軟件開發(fā)，建模語言，接口，符號處理，分布式和并行處理。該雜志出版邀請作者的最新技術(shù)報告、簡要的軟件報告、評論和專門用于深入研究某一特定主題的特刊。

Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing. The journal publishes state of the art reports by invited authors, brief software reports, critical reviews and special issues devoted to the in-depth study of a particular topic.