If the smart seen the sea, then the perception is that river to the sea, and the river is the thinking of the ship, above loaded with a variety of thoughtful and every whim.
Like the sea is not a river is not the same ship, intelligence is not knowledge, nor is it thinking.
Pythagoras the number and map as faith, by simple calculations can accurately predict the length of the hypotenuse, how wonderful and accurate divination ah! In fact, Pythagoras this worship may be just discovered, rather than creating a real invention, as Einstein said: " to create a result not logical reasoning, logical reasoning is only used to verify existing and create ideas" , easy to see, ingredients and create real often contain non-logical or is mixed logic and non-logic components, not simply the fact of causation, there is cause and effect on the value of the building, including targeted fruit due to the relationship, as if writer essay, the artist painting in general.
From the above process, we can easily find, human cognition, thinking, intelligent interactive nesting time and space are mixed figures of environmental systems, rather than discrete ternary never ran, but yin in yang, yang in overcast, gray yin and yang of the process. Nevertheless, three or different, angular.
Cognition is the initial stage, it is the first step to obtain human data, information, knowledge, mode, status, trends by observing, through awareness, people form a different concept (name) from the natural and social interaction, extract law of the difference (channel), a variety of tools and methods for the comb.
Cognitive data and information flow process.
思维就是在认知的基础上形而上、学而思出的高级认知维度，这个维度侧重于语言产生后的反映及其手段。思维最初是人脑借助于语言对客观事物的概括和间接的反应过程。思维以感知为基础又超越感知的界限。通常意义上的思维，涉及所有的认知或智力活动。它探索与发现事物的内部本质联系和规律性，是认识过程的高级阶段。
思维对事物的间接反映，是指它通过其他媒介作用认识客观事物，及借助于已有的知识和经验，已知的条件推测未知的事物。思维的概括性表现在它对一类事物非本质属性的摒弃和对其共同本质特征的反映。随着研究的深入，人们发现，除了逻辑思维之外，还有形象思维、直觉思维、顿悟等等思维形式的存在，在人类智能应用过程中，这些思维途径往往是混合甚至是融合使用的，而在机器学习或人工智能中，这些思维方式略显孤立或被机械捆绑实施的。
智能与认知和思维最大的区别是：智性，也就是人们常说的灵性和洞察性。即这里的智能可能不同于计算智能、感知智能和认知智能，而是洞察性的智能，能够举一反三、触类旁通、指鹿为马、指桑骂槐……，尽管表面上，东方有点不讲理，西方有些不尽情，但老子、亚里士多德、刘徽、莱布尼兹等圣人先贤依然在没有现代精密仪器设备和大数据的情况之下，却也可以发现不少道和名的规则、概率，估计有些至理应该是超越科学技术中的实验求得吧……人，本身也许就是最好的精仪和设备，人可以将事物进行人格性同化，而机器却不能进行机格化顺应。
智能的是非观，不是截然的二元对立，而是彼此间的渗透。好的智能可使我们能了解到“是什么”，也能知道“应是什么”，更能理解“为什么”。
Cognitive science, scientific thinking, scientific intelligence must have three overlapping part, but their main idea is different, and if so, you need to pay special attention main difference between the three, and not much thought to where they overlap:
cognitive is the flow of data and information, the general thinking is reflected in speculation, intelligence is
involved in
cognitive, non-thinking of
the ability.