摘要翻译：
机器意识和机器智能并不是简单地占据我们想象的新流行语。在过去的几十年里，我们看到创造具有类似人类特征和能力的机器的尝试前所未有地增加。然而，尽管有广泛的同情和充足的资金，这些企业的进展远非令人满意。原因有两个：第一，认知和智力的概念（通常从人类行为研究中借来）是出了名的模糊和定义不清，第二，支撑整个论述的基本概念本身要么没有定义，要么定义得非常模糊。这导致了研究目标确定的不当和不足，我将从DARPA和欧盟委员会最近发布的文件中举一些例子来说明这一点。另一方面，我想提出一些补救办法，我希望能改善目前最先进的耻辱。
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英文标题：
《Not only a lack of right definitions: Arguments for a shift in
  information-processing paradigm》
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作者：
Emanuel Diamant
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类：Quantitative Biology        数量生物学
二级分类：Neurons and Cognition        神经元与认知
分类描述：Synapse, cortex, neuronal dynamics, neural network, sensorimotor control, behavior, attention
突触，皮层，神经元动力学，神经网络，感觉运动控制，行为，注意
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英文摘要：
  Machine Consciousness and Machine Intelligence are not simply new buzzwords that occupy our imagination. Over the last decades, we witness an unprecedented rise in attempts to create machines with human-like features and capabilities. However, despite widespread sympathy and abundant funding, progress in these enterprises is far from being satisfactory. The reasons for this are twofold: First, the notions of cognition and intelligence (usually borrowed from human behavior studies) are notoriously blurred and ill-defined, and second, the basic concepts underpinning the whole discourse are by themselves either undefined or defined very vaguely. That leads to improper and inadequate research goals determination, which I will illustrate with some examples drawn from recent documents issued by DARPA and the European Commission. On the other hand, I would like to propose some remedies that, I hope, would improve the current state-of-the-art disgrace.
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PDF链接：
https://arxiv.org/pdf/1009.0077