Artificial Intelligence: Cooperative Computation and Man–Machine Symbiosis

Artificial intelligence (AI) joins forces with brain research, cognitive psychology, and linguistics to probe the nature of intelligeice. It is asserted that the current AI emphasis on representation of knowledge will be augmented by increasing attention to cooperative computation and learning. AI also contributes to a man-machine symbiosis: providing specialized packets of intelligence to augment our own. As we augment our intelligence with our machines, building on current success with robotics, scene analysis, language understanding, and expert systems, we must better understand our own intelligence to enable the construction of high-bandwidth man–machine interfaces. This, too, is a form of cooperative computation.

[1]  William A. Woods,et al.  Computational Linguistics Transition Network Grammars for Natural Language Analysis , 2022 .

[2]  William A. Woods,et al.  Progress in natural language understanding: an application to lunar geology , 1973, AFIPS National Computer Conference.

[3]  Marvin Minsky,et al.  Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.

[4]  Terry Winograd,et al.  Understanding natural language , 1974 .

[5]  Michael A. Arbib,et al.  Computational Techniques in Visual Systems. Part I. The Overall Design. , 1976 .

[6]  Frank Rosenblatt,et al.  PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .

[7]  Michael A. Arbib,et al.  The metaphorical brain : an introduction to cybernetics as artificial intelligence and brain theory , 1972 .

[8]  Harry G. Barrow,et al.  Experiments in Interpretation-Guided Segmentation , 1977, Artificial Intelligence.

[9]  M. Boden.  Purposive explanation in psychology , 1972 .

[10]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[11]  Allen Newell,et al.  Report on a general problem-solving program , 1959, IFIP Congress.

[12]  Michael A. Arbib,et al.  Computers and the cybernetic society , 1977 .

[13]  K. J. Craik,et al.  The nature of explanation , 1944 .

[14]  Victor R. Lesser,et al.  A Multi-Level Organization For Problem Solving Using Many, Diverse, Cooperating Sources Of Knowledge , 1975, IJCAI.

[15]  Jaime R. Carbonell,et al.  AI in CAI : An artificial intelligence approach to computer-assisted instruction , 1970 .

[16]  John G. Kemeny,et al.  Man and the computer , 1972 .

[17]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[18]  Marvin Minsky,et al.  A framework for representing knowledge" in the psychology of computer vision , 1975 .

[19]  J. Doran,et al.  Experiments with the Graph Traverser program , 1966, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[20]  W. W. Bledsoe,et al.  Review of "Problem-Solving Methods in Artificial Intelligence by Nils J. Nilsson", McGraw-Hill Pub. , 1971, SGAR.

[21]  Bruce G. Buchanan,et al.  Heuristic DENDRAL - A program for generating explanatory hypotheses in organic chemistry. , 1968 .