Abstract
The past thirty years have presented many great challenges to our conceptions of science and technology and even of man himself. This fact is closely linked to the spread of computer technology and the power of that technology in improving our capacity to investigate not only natural phenomena but even human and social processes.
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References
Bell D (1980) The social framework of the information society. In: Forester T (ed) The microelectronics revolution. Blackwell, Oxford
Bloomfield BP (1988) Expert systems and human knowledge: A view from the sociology of science. AI & Society 2 (1)
Dreyfus HL (1988) Si può accusare Socrate di cognitivismo? Nuova Civiltà Delle Macchine 1 (1/2)
Dreyfus HL, Dreyfus SE (1986) Mind over machine: the power of human intuition and expertise in the era of computers. New York Free Press, New York
Durkheim E (1895) Les regies de la methode sociologique, 14th edn. Presses Universitaires de France, Paris
Feigenbaum E, McCorduck P (1983) The fifth generation. Addison-Wesley, Reading, MA Gallino L ( 1987 ) L’attore sociale. Einaudi, Torino
Hart A (1988) Sistemi esperti: Dall’ingegneria della conoscenza all’intelligenza artificiale. Gruppo Editoriale Jackson, Milano
Karatsu (1981) What is required of the Fifth Generation computer - social needs and its impact. In: Proceedings of international conference on Fifth Generation computer systems. Japan Information Processing Development Center, Tokyo, pp 87–100
Maruyama N (1963) The second cybernetics: Deviation amplifying mutual causal processes. General Systems 8: 233–241
McLuhan M (1964) Understanding media, the extension of man. McGraw-Hill, New York
Miller L (1978) Has artificial intelligence contributed to an understanding of the human mind? A critique of arguments for and against. Cognitive Science 2: 112–145
Naranayan A (1986) Why AI cannot be wrong. In: Gill KS (ed) Artificial intelligence for society. Wiley, Chichester
Negrotti M (1975) Sociologia dell’ambiente tecnico: Saggio sull’equilibrio futuro del sistema cultura-tecnica. Angeli, Milano
Negrotti M (1984) Cultural dynamics in the diffusion of informatics. Futures 16 (l): 38–46
Negrotti M (1986) The AI people’s way of looking at man and machine. Applied Artificial Intelligence 1 (1): 109–116
Polanyi M (1962) Personal knowledge. Routledge & Kegan Paul, London
Popper KR (1970) Logica della scoperta scientifica. Einaudi, Torino
Searle JR (1984) Menti, cervelli e programmi. CLUP-CLUED, Milano, p 65
Searle JR (1988) La scienza cognitiva e la metafora del computer. Nuova Civiltà Delle Macchine l(l/2): 53–61
Singer RN, Gerson RF (1979) Learning strategies, cognitive processes and motor learning. In: O’Neil HF, Spielberger CD (eds) Cognitive and affective learning strategies. Academic Press, New York
Sloman A, Croucher M (1982) Perche’ i robot potranno avere emozioni. In: Negrotti M (ed) Intelligenza artificiale e scienze sociali. Angeli, Milano
Sommerhoff G (1968) Purpose, adaptation and directive correlation. In: Buckley W (ed) Modern systems research for the behavioral scientist. Aldine, Chicago
Sommerhoff G (1969) The abstract characteristics of living systems. In: Emery FE (ed) Systems thinking. Penguin, Harmondsworth
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Negrotti, M. (1991). Alternative Intelligence. In: Negrotti, M. (eds) Understanding the Artificial: On the Future Shape of Artificial Intelligence. Artificial Intelligence and Society. Springer, London. https://doi.org/10.1007/978-1-4471-1776-6_4
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DOI: https://doi.org/10.1007/978-1-4471-1776-6_4
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