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Table 2 AREAS OF ARTIFICIAL INTELLIGENCE

in Forecasting and Assessing the Impact of Artificial Intelligence on Society
by Martin A Fischler, L. Stephen Coles, Jay M. Tenenbaum 1973
"... In PAGE 2: ..., and to translate these rules into a representation or structure which allows problem-solving and learning abilities to be used in reaching an adequate level of performance. The areas of artificial intelligence and their subtopics are shown in Table2 . A representative col lection of early work in A.... ..."
Cited by 1

Table 4.2 Lessons in the Artificial Intelligence Module

in Animations And Interactive Material For Improving The Effectiveness Of Learning The Fundamentals Of Computer Science
by Richard E. Nance, William S. Gilley, William S. Gilley

Table 10: Potential uses of artificial intelligence for lessons learned sub - processes.

in Intelligent Lessons Learned Systems
by Rosina Weber, David W. Aha, Irma Becerra-Fernandez
"... In PAGE 26: ...Table10... ..."

Table 1 Prior bond rating prediction studies using Artificial Intelligence techniques Study Bond rating

in Credit Rating Analysis With Support Vector Machines and Neural Networks: A Market Comparative Study
by Zan Huang , Hsinchun Chen , Chia-jung Hsu , Wun-hwa Chen , Soushan Wu
"... In PAGE 4: ... Similar financial variables and methods were used in such studies and the prediction performance was typically higher because of the binary output categories. We summarized important prior studies that applied AI techniques to the bond-rating prediction problem in Table1 . In summary, previous literature has consisted of extensive efforts to apply neural networks to the bond-rating prediction problem and comparisons with other statistical methods and machine learning meth- ods have been conducted by many researchers.... ..."

Table 1 S. Kambhampati et al. /Artificial Intelligence 76 (I 995) 167-238

in Intelligence
by Subbarao Kambhampati A, Craig A. Knoblock B, Qiang Yang 1993

Table 2 S. Kambhampati et al. /Artificial Intelligence 76 (1995) 167-238 191

in Intelligence
by Subbarao Kambhampati A, Craig A. Knoblock B, Qiang Yang 1993

Table 2 M. Goldszmidt, J. Pearl/Artificial Intelligence 84 (1996) 57-112

in Intelligence
by unknown authors 1993

Tableaux. In Proc. JELIA 96, number 1126 in Lecture Notes in Artificial Intelligence. Euro- pean Workshop on Logic in AI, Springer, 1996.

in Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments
by Oliver Obst, Oliver Obst
Cited by 32

Tableaux. In Proc. JELIA 96, number 1126 in Lecture Notes in Artificial Intelligence. Euro- pean Workshop on Logic in AI, Springer, 1996.

in Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments
by Oliver Obst, Oliver Obst, Universität Koblenz-l
Cited by 32

Table 1. Differences between the classical artificial intelligence landmark project of constructing an artificial chess player and the landmark project of constructing a team of robot soccer players [Kitano et al., 1997].

in Ola: What Goes Up, Must Fall Down
by Henrik Hautop Lund, Lund Jens, Aage Arendt, Jakob Fredslund, Luigi Pagliarini
"... In PAGE 3: ... Essentially, the differences are similar to the differences between a simulated model of emergence and a real world model. In general, the differences can be summarised as shown in Table1 (reprinted with permission from H. Kitano).... ..."
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