Intelligence Science

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 principle and model of natural intelligence in molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists coming from above three disciplines work together to explore new concept, new theory, new methodology. It will be successful and create a brilliant future in 21 century. The paper will outline the framework of intelligence science and present the ten big issues. Research approaches will be pointed out. Finally the paper gives perspective for the future.

[1]  David Kirsh,et al.  Foundations of AI: The Big Issues , 1991, Artif. Intell..

[2]  John R. Anderson The Adaptive Character of Thought , 1990 .

[3]  J. Hawkins,et al.  On Intelligence , 2004 .

[4]  Nicholas L. Cassimatis,et al.  A Cognitive Substrate for Achieving Human-Level Intelligence , 2006, AI Mag..

[5]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[6]  Allen Newell,et al.  Computer science as empirical inquiry: symbols and search , 1976, CACM.

[7]  Reinhard Eckhorn,et al.  Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.

[8]  GrangerRichard Engines of the brain , 2006 .

[9]  Shun-ichi Amari,et al.  Differential-geometrical methods in statistics , 1985 .

[10]  A. Newell Unified Theories of Cognition , 1990 .

[11]  M. Dehn Working Memory and Academic Learning: Assessment and Intervention , 2008 .

[12]  D. Chalmers The conscious mind: in search of a fundamental theory , 1996 .

[13]  M. Paradiso,et al.  Neuroscience: Exploring the Brain , 1996 .

[14]  Nils J. Nilsson,et al.  Human-Level Artificial Intelligence? Be Serious! , 2005, AI Mag..

[15]  M. Minsky The Society of Mind , 1986 .

[16]  A. Reber Implicit learning of artificial grammars , 1967 .

[17]  John McCarthy The Future of AI - A Manifesto , 2005, AI Mag..

[18]  Ezio Sanavio,et al.  Implicit and explicit memory biases in mixed anxiety-depression. , 2003, Journal of affective disorders.

[19]  Pat Langley,et al.  Cognitive Architectures and General Intelligent Systems , 2006, AI Mag..

[20]  Harel Z. Shouval,et al.  Models of synaptic plasticity , 2007, Scholarpedia.

[21]  Xi Liu,et al.  A computational model for feature binding , 2008, Science in China Series C: Life Sciences.

[22]  F. Crick The Astonishing Hypothesis , 1994 .

[23]  John R. Anderson,et al.  The Adaptive Character of Thought , 1990 .