AdobePhotoshopCS3: официальный учебный курс

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Combinatory Logic. North-Holland, 1958. Contemporary Approaches to Artificial General Intelligence 29 11. M. Dorigo and L. M. Gambardella. Ant Colonies for the Traveling Salesman Problem. BioSystems, 43:73–81, 1997. 12. M. Dorigo and L. M. Gambardella. Ant Colony Systems: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Trans. Evol. , 1:53–66, 1997. 13. W. Fontana and L. W. Buss. The Arrival of the Fittest: Toward a Theory of Biological Organization. Bull. Math. , 56:1–64, 1994.

The end result of this teaching process will be an autonomous AGI system, oriented toward assisting humans in collectively solving pragmatic problems. 10 The Outlook for AGI The AGI subfield is still in its infancy, but it is certainly encouraging to observe the growing attention that it has received in the past few years. Both the number of people and research groups working on systems designed to achieve general intelligence and the interest from outsiders have been growing. Traditional, narrow AI does play a key role here, as it provides useful examples, inspiration and results for AGI.

39. L. A. Levin. Laws of information conservation (non-growth) and aspects of the foundation of probability theory. Problems of Information Transmission, 10:206–210, 1974. 40. L. A. Levin. On a concrete method of assigning complexity measures. DAN SSSR: Soviet Mathematics Doklady, 17(2):727–731, 1977. 41. T. M. Martinetz and K. J. Schulten. A “neural-gas” network learns topologies, pages 397–402. North-Holland, 1991. 42. A. Newell and H. A. Simon. GPS, a Program that Simulates Human Thought, pages 109–124.

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