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第12行： − + − ACE has a similarity to, and overlap with, game theory as an agent-based method for modeling social interactions.[8] But practitioners have also noted differences from standard methods, for example in ACE events modeled being driven solely by initial conditions, whether or not equilibria exist or are computationally tractable, and in the modeling facilitation of agent autonomy and learning.[9] − − − The method has benefited from continuing improvements in modeling techniques of computer science and increased computer capabilities. The ultimate scientific objective of the method is to "test theoretical findings against real-world data in ways that permit empirically supported theories to cumulate over time, with each researcher’s work building appropriately on the work that has gone before."[10] The subject has been applied to research areas like asset pricing,[11] competition and collaboration,[12] transaction costs,[13] market structure and industrial organization and dynamics,[14] welfare economics,[15] and mechanism design,[16] information and uncertainty,[17] macroeconomics,[18] and Marxist economics.[19] 第70行：
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|description=将整个经济视作不同主体相互作用的动态系统，研究经济的发展过程。
|description=将整个经济视作不同主体相互作用的动态系统，研究经济的发展过程。
}}
}}
'''<font color="#ff8000">基于主体的计算经济学 Agent-based Computational Economics （ACE）</font>'''是[[计算经济学]]的一个研究领域，将整个经济视作不同主体相互作用的动态系统，研究经济的发展过程。<ref>W. Brian Arthur, 1994. "[https://ocw.tudelft.nl/wp-content/uploads/ElFarolArtur1994.pdf Inductive Reasoning and Bounded Rationality]," ''American Economic Review'', 84(2), pp. [http://www-personal.umich.edu/~samoore/bit885f2011/arthur-inductive.pdf 406-411] {{Webarchive|url=https://web.archive.org/web/20130521145936/http://www-personal.umich.edu/~samoore/bit885f2011/arthur-inductive.pdf |date=21 May 2013 }}.<br/> • Leigh Tesfatsion, 2003. "Agent-based Computational Economics: Modeling Economies as Complex Adaptive Systems," ''Information Sciences'', 149(4), pp. [http://copper.math.buffalo.edu/urgewiki/uploads/Literature/Tesfatsion2002.pdf 262-268] {{webarchive|url=https://web.archive.org/web/20120426000037/http://copper.math.buffalo.edu/urgewiki/uploads/Literature/Tesfatsion2002.pdf |date=26 April 2012 }}.</ref>
'''<font color="#ff8000">基于主体的计算经济学 Agent-based Computational Economics （ACE）</font>'''是[[计算经济学]]的一个研究领域，将整个经济视作不同主体相互作用的动态系统，研究经济的发展过程。<ref>W. Brian Arthur, 1994. "[https://ocw.tudelft.nl/wp-content/uploads/ElFarolArtur1994.pdf Inductive Reasoning and Bounded Rationality]," ''American Economic Review'', 84(2), pp. [http://www-personal.umich.edu/~samoore/bit885f2011/arthur-inductive.pdf 406-411] {{Webarchive|url=https://web.archive.org/web/20130521145936/http://www-personal.umich.edu/~samoore/bit885f2011/arthur-inductive.pdf |date=21 May 2013 }}.<br/> Leigh Tesfatsion, 2003. "Agent-based Computational Economics: Modeling Economies as Complex Adaptive Systems," ''Information Sciences'', 149(4), pp. [http://copper.math.buffalo.edu/urgewiki/uploads/Literature/Tesfatsion2002.pdf 262-268] {{webarchive|url=https://web.archive.org/web/20120426000037/http://copper.math.buffalo.edu/urgewiki/uploads/Literature/Tesfatsion2002.pdf |date=26 April 2012 }}.</ref>
因此，它属于[[复杂适应系统]]的科学范式。在相应的[[基于主体模型]]中，“主体”指根据特定规则进行交互的计算实体，而非真实的人。其中交互的规则一种对个体行为和社会互动的建模。<ref>Scott E. Page (2008). "agent-based models," ''The New Palgrave Dictionary of Economics]'', 2nd Edition. [http://www.dictionaryofeconomics.com/article?id=pde2008_A000218&edition=current&q=agent-based%20computational%20modeling&topicid=&result_number=1 Abstract].</ref>
因此，它属于[[复杂适应系统]]的科学范式。在相应的[[基于主体模型]]中，“主体”指根据特定规则进行交互的计算实体，而非真实的人。其中交互的规则一种对个体行为和社会互动的建模。<ref>Scott E. Page (2008). "agent-based models," ''The New Palgrave Dictionary of Economics]'', 2nd Edition. [http://www.dictionaryofeconomics.com/article?id=pde2008_A000218&edition=current&q=agent-based%20computational%20modeling&topicid=&result_number=1 Abstract].</ref>
这些规则甚至可以通过人工智能方法（如'''<font color="#ff8000">Q学习 Q-learning</font>'''及其他强化学习技术）来获得。<ref>Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, The MIT Press, Cambridge, MA, 1998 [http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html] {{Webarchive|url=https://web.archive.org/web/20090904194934/http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html |date=4 September 2009 }}</ref>
这些规则甚至可以通过人工智能方法（如'''<font color="#ff8000">Q学习 Q-learning</font>'''及其他强化学习技术）来获得。<ref>Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, The MIT Press, Cambridge, MA, 1998 [http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html] {{Webarchive|url=https://web.archive.org/web/20090904194934/http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html |date=4 September 2009 }}</ref>
ACE 与博弈论时有相似之处和重叠部分，都可以看作以一种研究社会交往的基于主体的建模方法。<ref name="COMP>">Joseph Y. Halpern(2008). "computer science and game theory," ''The New Palgrave Dictionary of Economics'', 2nd Edition. [http://www.dictionaryofeconomics.com/article?id=pde2008_C000566&edition=current&q=&topicid=&result_number=1 Abstract].<br/> • Yoav Shoham (2008). "Computer Science and Game Theory," ''Communications of the ACM'', 51(8), pp.
ACE 与博弈论时有相似之处和重叠部分，都可以看作以一种研究社会交往的基于主体的建模方法。<ref name="COMP>">• [[Joseph Y. Halpern]] (2008). "computer science and game theory," ''The New Palgrave Dictionary of Economics'', 2nd Edition. [http://www.dictionaryofeconomics.com/article?id=pde2008_C000566&edition=current&q=&topicid=&result_number=1 Abstract].<br/> • Yoav Shoham (2008). "Computer Science and Game Theory," ''Communications of the ACM'', 51(8), pp.
[http://www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf 75-79] {{Webarchive|url=https://web.archive.org/web/20120426005917/http://www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf |date=26 April 2012 }}.<br/> • [[Alvin E. Roth]] (2002). "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," ''Econometrica'', 70(4), pp. [https://web.archive.org/web/20040414102216/http://kuznets.fas.harvard.edu/~aroth/papers/engineer.pdf 1341–1378].</ref> 但实践者也注意到了ACE与标准的博弈论方法的区别，例如，在ACE中，事件仅由初始条件驱动；ACE不在乎计算上是否易于处理；ACE中，主体有自动选择和学习的能力。<ref>Tesfatsion, Leigh (2006), "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," ch. 16, ''Handbook of Computational Economics'', v. 2, part 2, ACE study of economic system. [http://www.sciencedirect.com/science/article/pii/S1574002105020162 Abstract] and pre-pub [http://econ2.econ.iastate.edu/tesfatsi/hbintlt.pdf PDF].</ref>
[http://www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf 75-79] {{Webarchive|url=https://web.archive.org/web/20120426005917/http://www.robotics.stanford.edu/~shoham/www%20papers/CSGT-CACM-Shoham.pdf |date=26 April 2012 }}.<br/> • [[Alvin E. Roth]] (2002). "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," ''Econometrica'', 70(4), pp. [https://web.archive.org/web/20040414102216/http://kuznets.fas.harvard.edu/~aroth/papers/engineer.pdf 1341–1378].</ref> 但实践者也注意到了ACE与标准的博弈论方法的区别，例如，在ACE中，事件仅由初始条件驱动；ACE不在乎计算上是否易于处理；ACE中，主体有自动选择和学习的能力。<ref>Tesfatsion, Leigh (2006), "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," ch. 16, ''Handbook of Computational Economics'', v. 2, part 2, ACE study of economic system. [http://www.sciencedirect.com/science/article/pii/S1574002105020162 Abstract] and pre-pub [http://econ2.econ.iastate.edu/tesfatsi/hbintlt.pdf PDF].</ref>
得益于计算机科学建模技术的不断改进和计算机能力的提高，ACE方法也在不断发展，其终极科学目标是“用实际数据来检验理论发现——使得可靠的、有实际经验和数据支撑的理论能不断积累，而研究人员也能在可靠的前人理论基础上做进一步探索。”<ref>Leigh Tesfatsion (2006). "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," ch. 16, ''Handbook of Computational Economics'', v. 2, [pp. 831-880] sect. 5. [http://www.sciencedirect.com/science/article/pii/S1574002105020162 Abstract] and pre-pub [http://econ2.econ.iastate.edu/tesfatsi/hbintlt.pdf PDF].<br/> • [[Kenneth L. Judd]] (2006). "Computationally Intensive Analyses in Economics," ''Handbook of Computational Economics'', v. 2, ch. 17, pp. [https://books.google.com/books?id=6ITfRkNmKQcC&pg=PA881 881-] 893. Pre-pub [https://www2.econ.iastate.edu/tesfatsi/Judd.finalrev.pdf PDF].<br/> Leigh Tesfatsion and Kenneth L. Judd, ed. (2006). ''Handbook of Computational Economics'', v. 2. [http://www.elsevier.com/wps/find/bookdescription.cws_home/660847/description#description Description] {{Webarchive|url=https://web.archive.org/web/20120306100156/http://www.elsevier.com/wps/find/bookdescription.cws_home/660847/description#description |date=6 March 2012 }} & and chapter-preview
得益于计算机科学建模技术的不断改进和计算机能力的提高，ACE方法也在不断发展，其终极科学目标是“用实际数据来检验理论发现——使得可靠的、有实际经验和数据支撑的理论能不断积累，而研究人员也能在可靠的前人理论基础上做进一步探索。”<ref>Leigh Tesfatsion (2006). "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," ch. 16, ''Handbook of Computational Economics'', v. 2, [pp. 831-880] sect. 5. [http://www.sciencedirect.com/science/article/pii/S1574002105020162 Abstract] and pre-pub [http://econ2.econ.iastate.edu/tesfatsi/hbintlt.pdf PDF].<br/> • [[Kenneth L. Judd]] (2006). "Computationally Intensive Analyses in Economics," ''Handbook of Computational Economics'', v. 2, ch. 17, pp. [https://books.google.com/books?id=6ITfRkNmKQcC&pg=PA881 881-] 893. Pre-pub [https://www2.econ.iastate.edu/tesfatsi/Judd.finalrev.pdf PDF].<br/> Leigh Tesfatsion and Kenneth L. Judd, ed. (2006). ''Handbook of Computational Economics'', v. 2. [http://www.elsevier.com/wps/find/bookdescription.cws_home/660847/description#description Description] {{Webarchive|url=https://web.archive.org/web/20120306100156/http://www.elsevier.com/wps/find/bookdescription.cws_home/660847/description#description |date=6 March 2012 }} & and chapter-preview
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