Principles of artificial intelligence
Principles of artificial intelligence
Intelligence without representation
Artificial Intelligence
Brain style computation: learning and generalization
An introduction to neural and electronic networks
Computers and Thought
Human Problem Solving
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
An advanced mental state transition network and psychological experiments
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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Both Artificial Intelligence (AI) and Artificial Emotion (AE) have received much attention from academic as well as engineering circles. Structuralism, functionalism and behaviorism have been the three dominant approaches to the simulation of intelligence in history up to the present. All the approaches have made progress so far whereas they also, however, facing difficulties in their development. Further more, there have been no connections between the research in AI and that in AE. An attempt was thus made in the paper to propose another approach to the research in AI and AE. Different from the structuralism, functionalism and behaviorism, this approach is featured with the direct concern with the central mechanism of intelligence and emotion and is therefore termed mechanism approach. It is discovered as consequence that the transformations from information to knowledge and further to intelligence are the nucleus of the mechanism to AI and AE. A by-product that seems significant also achieved the same time that the three named approaches to AI can well be unified within the framework of mechanism approach. These discoveries, both AI and AE can successfully be simulated by mechanism approach and unifying the three approaches into harmonious one, may open up a new stage for the research in AI and AE as well as the integration of these two.