A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

John E. Laird; Christian Lebiere; Paul S. Rosenbloom

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A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

机译：心灵的标准模型：朝着人工智能，认知科学，神经科学和机器人跨越共同的计算框架

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The purpose of this article is to begin the process of engaging the international research community in developing what can be called a standard model of the mind, where the mind we have in mind here is human-like. The notion of a standard model has its roots in physics, where over more than a half-century the international community has developed and tested a standard model that combines much of what is known about particles. This model is assumed to be internally consistent, yet still have major gaps. Its function is to serve as a cumulative reference point for the field while also driving efforts to both extend and break it.

机译：本文的目的是开始从事国际研究界的发展过程中的开发可以称为心灵的标准模型，在这里我们在这里的头脑是人类的。标准模型的概念在物理学中有其根源，其中超过半个世纪的国际社会开发并测试了一个标准模型，这些模型结合了大部分粒子所知的。该模型被认为是内部一致的，但仍然具有主要的差距。其功能是作为该领域的累积参考点，同时也推动两者的延伸和打破它。

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《AI magazine》 |2017年第4期|共14页
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John E. Laird; Christian Lebiere; Paul S. Rosenbloom;
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1. A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics [J] . Laird John E., Lebiere Christian, Rosenbloom Paul S. AI Magazine . 2017,第4期

机译：心灵的标准模型：建立跨人工智能，认知科学，神经科学和机器人技术的通用计算框架
2. Representations, approximations, and limitations within a computational framework for cognitive science Comment on "Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch [J] . Amy Perfors Physics of life reviews . 2014,第3期

机译：W. Tecumseh Fitch对“迈向认知生物学的计算框架：统一来自认知神经科学和比较认知的方法”的评论，为认知科学的计算框架提供了表示，近似和限制。
3. Towards a synergy framework across neuroscience and robotics: Lessons learned and open questions. Reply to comments on: "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" [J] . Santello Marco, Bianchi Matteo, Gabiccini Marco, Physics of life reviews . 2016,第Null期

机译：建立跨神经科学和机器人学的协同框架：汲取的教训和未解决的问题。对以下方面的评论的答复：“手协同作用：机器人技术和神经科学的集成，以理解生物和人造手的控制”
4. Classification of Brain simulation using artificial intelligence, cognitive science and neuroscience [C] . Mohit Sharma, Rajat Mittal, Tanupriya Choudhury, 2018 International Conference on Communication, Computing and Internet of Things . 2018

机译：使用人工智能，认知科学和神经科学对大脑模拟进行分类
5. Cognitive mechanisms and computational models: Explanation in cognitive neuroscience. [D] . Stinson, Catherine Elizabeth. 2013

机译：认知机制和计算模型：认知神经科学中的解释。
6. Towards a synergy framework across neuroscience and robotics: Lessonslearned and open questions. Reply to comments on: Hand synergies:Integration of robotics and neuroscience for understanding the control ofbiological and artificial hands [O] . Marco Santello, Matteo Bianchi, Marco Gabiccini, -1

机译：建立跨神经科学和机器人学的协同框架：经验教训学习和开放的问题。回复有关以下内容的评论：手部协同作用：机器人技术与神经科学相结合以了解机器人的控制生物和人工手
7. A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics [O] . John E. Laird, Christian Lebiere, Paul S. Rosenbloom 2017

机译：心灵的标准模型：朝着人工智能，认知科学，神经科学和机器人跨越共同的计算框架

A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

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