Search (4 results, page 1 of 1)

0.01959296 = product of:
  0.03918592 = sum of:
    0.03918592 = product of:
      0.07837184 = sum of:
        0.07837184 = weight(_text_:book in 1529) [ClassicSimilarity], result of:
          0.07837184 = score(doc=1529,freq=4.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.34485358 = fieldWeight in 1529, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1529)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.

0.012207133 = product of:
  0.024414266 = sum of:
    0.024414266 = product of:
      0.04882853 = sum of:
        0.04882853 = weight(_text_:22 in 2916) [ClassicSimilarity], result of:
          0.04882853 = score(doc=2916,freq=2.0), product of:
            0.18029164 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.051484983 = queryNorm
            0.2708308 = fieldWeight in 2916, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2916)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

21. 3.2008 19:10:22

0.011083451 = product of:
  0.022166902 = sum of:
    0.022166902 = product of:
      0.044333804 = sum of:
        0.044333804 = weight(_text_:book in 1590) [ClassicSimilarity], result of:
          0.044333804 = score(doc=1590,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.19507864 = fieldWeight in 1590, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=1590)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Footnote

Rez. in: Knowledge organization 21(1994) no.1, S.42-43 (E. Oeser): "Therefore, over and beyond its intrinsic didactic function, this book can be recommended to all those seriously interested in the theoretical foundations of an information processing technology which has already succeeded in closing major gaps which conventional methods have so far been unable to fill"

0.011083451 = product of:
  0.022166902 = sum of:
    0.022166902 = product of:
      0.044333804 = sum of:
        0.044333804 = weight(_text_:book in 77) [ClassicSimilarity], result of:
          0.044333804 = score(doc=77,freq=2.0), product of:
            0.2272612 = queryWeight, product of:
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.051484983 = queryNorm
            0.19507864 = fieldWeight in 77, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.414126 = idf(docFreq=1454, maxDocs=44218)
              0.03125 = fieldNorm(doc=77)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

1. Problematik der Modellierung künstlicher Gehirne - 2. Informationsverarbeitung in Netzen mit konstanten Synapsen - 3. Allgemeine Theorie der Netze mit dynamischen Synapsen - 4. Makrodynamik der Netze mit konstanten Synapsen - 5. Informationsverarbeitung mit dynamischen Synapsen - 6. Netze für die Merkmalsdetektion - 7. Netze für die Merkmalserkennung - 8. Netze für die robuste Kopfdetektion - 9. Ausblick - 10. Vor üb er legungen zur mikroelektronischen Realisierung - 11. Elementare Schaltungen für Neuronen, Synapsen und Photosensoren - 12. Simulation mikroelektronischer neuronaler Schaltungen und Systeme - 13. Architektur und Chip-Entwurf des Merkmalserkenners - 14. Architektur und Chip-Entwurf für Merkmalsdetektoren - 15. 3D-Stapeltechnik für den Sehwürfel - 16. Architektur eines Sehwürfels der ersten Generation Vgl.: https://link.springer.com/book/10.1007%2F978-3-642-00191-8.