The society of mind
Unified theories of cognition
Foundations of AI: the big issues
Artificial Intelligence
The conscious mind: in search of a fundamental theory
The conscious mind: in search of a fundamental theory
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Emotion & design: attractive things work better
interactions
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
On Intelligence
Engines of the brain: the computational instruction set of human cognition
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Cognitive architectures and general intelligent systems
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
A cognitive substrate for achieving human-level intelligence
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
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Intelligence Science is an interdisciplinary subject which dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain, research on the principles and models of natural intelligence at molecular, cellular, and behavior levels. Cognitive science studies human mental activities, such as perception, learning, memory, thinking, consciousness etc. Artificial intelligence attempts simulation, extension, and expansion of human intelligence using artificial methods and technologies. Researchers specialized in above three disciplines work together to explore new concepts, theories, and methodologies. If successful, it will create a brilliant future in 21st century. The paper will outline the framework of intelligence science and present its ten big challenges. Tolerance Granular Space Model (TGSM) will be discussed as one of helpful approaches.