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1
Performance and Power Optimization for Cognitive Processor Design Using Deep-Submicron Very Large Scale Integration (VLSI) Technology
In: DTIC (2010)
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2
Impact of Language Immersion Programs on Foreign Language
In: DTIC (2008)
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3
Russian Language Development and Maintenance At a Distance: Methodology and Technology
In: DTIC (1999)
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4
TMSS Parsing Test, MIL-M-9977J, Appendix G, Loading Procedures Checklists.
In: DTIC AND NTIS (1994)
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5
MIL-M-9977J, Appendix E, Integrated Combat Turnaround Procedures, Document Type Definition, MAXIMA Corporation.
In: DTIC AND NTIS (1994)
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TMSS Parsing Test, MIL-M-9977J, Appendix J, NATO Stage B Cross-Servicing Checklist (CL2), Document Type Definition.
In: DTIC AND NTIS (1994)
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TMSS Parsing Test, MIL-M-9977J, Appendix F. Nonnuclear Munitions Loading Standard Data Packages, Document Type Definition.
In: DTIC AND NTIS (1994)
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8
TMSS Parsing Test, MIL-M-9977J. Appendix C. Nonnuclear Munitions Basic Information. Document Type Definition.
In: DTIC AND NTIS (1994)
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9
TMSS Parsing Test, MIL-M-77OOE, Flight Manual Document Type Definition.
In: DTIC AND NTIS (1994)
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10
MIL-M-83495A, Appendix B. General System, Amendment One. Document Type Definition.
In: DTIC AND NTIS (1994)
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11
TMSS Parsing Test MIL-M-9977J, Appendix D, Nonnuclear Munitions Loading Procedures.
In: DTIC AND NTIS (1994)
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12
TMSS Parsing Test, MIL-M-83495A, Wiring Diagram, Appendix F, Document Type Definition.
In: DTIC AND NTIS (1994)
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13
IDEF3 Formalization Report
In: DTIC AND NTIS (1991)
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14
Northeast Artificial Intelligence Consortium (NAIC). Volume 18. A distributed Artificial Intelligence Approach to Information Fusion and Object Classification
In: DTIC AND NTIS (1990)
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15
The Effect on Learning of Inferences in Instructional Text
In: DTIC AND NTIS (1990)
Abstract: A computational model was used to improve the learnability of an Air Force document, doubling recall and greatly improving recruits' mental representation of the content. Kintsch's computer model of reading was applied to a 1000 word Air Force text on the Air Force's role in Vietnam War. Principles of the model were used to identify 40 text locations where recruits would have to make inferences if they were to have a coherent mental representation of the text. Each location was then repaired, and the repaired text was then tested for learnability against the original text in two experiments. In experiment 1, free recall was doubled for the repaired text. In the second experiment, 120 recruits' 66-part mental representations for 12 important text concepts were measured, and compared with the mental representations of the text's author, and of 7 independent subject matter experts. The author and the experts' mental representations correlated about .80. For recruits who read the repaired text, their mental representations correlated with the author and experts about .55 = N < 0.05. But recruits who read the original text correlated with the author and experts only about .10. These results suggest that the computational model can be used to improve the learnability of Air Force tests. Individual differences tests of inferencing ability were developed.
Keyword: *LEARNING; *MEMORY(PSYCHOLOGY); *READING; AIR FORCE; COHERENCE; COMPUTATIONS; Computer Programming and Software; COMPUTERIZED SIMULATION; DOCUMENTS; INFERENCE MAKING ABILITY; KINTSCH COMPUTER MODEL; MATHEMATICAL MODELS; MENTAL ABILITY; MODELS; PE61102F; Personnel Management and Labor Relations; Psychology; RECALL; RECRUITS; ROLES(BEHAVIOR); TEST AND EVALUATION; TEXTBOOKS; VIETNAM; WARFARE; WUAFOSR2313A7
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA229124
http://www.dtic.mil/docs/citations/ADA229124
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16
Using the Feature Exchange Language in the Next Generation Controller
In: DTIC AND NTIS (1990)
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17
A Portable Natural Language Interface.
In: DTIC AND NTIS (1987)
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18
A Software Life Cycle Support Environment
In: DTIC AND NTIS (1987)
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19
Feasibility Assessment of JOVIAL to Ada Translation.
In: DTIC AND NTIS (1983)
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20
Computer Recognition of Phonets in Speech.
In: DTIC AND NTIS (1982)
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