Intelligence Preparation of the Battlefield: Critique and Recommendations

Adelman, Leonard; Donnell, Michael L.; Phelps, Ruth H.

doi:10.21236/ada139038

Cited by 2 publications

(6 citation statements)

References 32 publications

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“…13. This decrease can be many orders of magnitude, 7 and thus, eq 3.13 should be replaced by Equations 3.14 and 3.16 again yield our main conclusion eq 3. 15.…”

Section: B High Frequency Breakdown Of Fourier Complementaritymentioning

confidence: 51%

“…Most obviously, the wing function's minute amplitude and highly oscillatory integrand renders it very difficult to meaningfully evaluate from a C(t) contaminated by statistical error and, moreover, computed out only to a finite time. 15 Motivated by such considerations, here and elsewhere, 7 we have outlined a theoretical analysis of the wing function problem. Our central results are shown by eq 2.11a.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…Theoretically based splitting algorithms are noted elsewhere. 7 For our qualitative purposes, however, we may merely choose a time t* and then define C M,H(T) (t) by (i) C M,H (tEt*) ) C M (t) and C M,H (t>t*) ) 0 and (ii) C M,T (tEt*) ) 0 and C M,T (t>t*) ) C M (t). For the model faf's C ga (t) and C se (t), a satisfactory choice of t* is 200 fs, 12 as is clear from Figure 2.…”

Section: The Model Faf's C Ga (T) and C Se (T)mentioning

confidence: 99%

“…Elsewhere, 7 we deal with this problem in a general manner. Our central results are the following conditions.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Two Simple Models for High Frequency Friction: Exponential versus Gaussian Wings

Adelman

2009

J. Phys. Chem. B

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Liquid phase vibrational energy relaxation (VER) times T1 typically depend critically on the relaxing mode's high frequency friction or wing function. The wing function may, in principle, be found from the mode's normalized force autocorrelation function (faf) C(t), since it is proportional to lim formula see text C(t)dt. However, the full form of C(t) is never available. Thus, the wing function is typically estimated from a model faf CM(t) which duplicates the known part of C(t) and which (hopefully) approximates its unknown part with enough realism to yield meaningful formula see text behavior. Unfortunately, apparently realistic CM(t)'s can predict unphysical wing functions, and T1's in error by tens of orders of magnitude. Thus, a condition is needed to discriminate between CM(t)'s which yield meaningful and unphysical forms for the high frequency friction. This condition is shown to be that model faf's CM(t) yield physical wing functions if and only if these functions derive from the short time "heads" of the faf's. This test is applied to the model faf's Cga(t) triple bond exp[-1/2(t/tau)2] and Cse(t) triple bond sech(t/tau). These faf's cannot both be physical, since they yield incompatible Gaussian and exponential wing functions. The test accepts Cga(t) as physical. It, however, rejects Cse(t), since its "tail" lim formula see text Cse(t) = 2 exp(-t/tau) (because of its long range) dominates the wing function.

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“…13. This decrease can be many orders of magnitude, 7 and thus, eq 3.13 should be replaced by Equations 3.14 and 3.16 again yield our main conclusion eq 3. 15.…”

Section: B High Frequency Breakdown Of Fourier Complementaritymentioning

confidence: 51%

Section: Summary and Discussionmentioning

confidence: 99%

Section: The Model Faf's C Ga (T) and C Se (T)mentioning

confidence: 99%

“…Elsewhere, 7 we deal with this problem in a general manner. Our central results are the following conditions.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Two Simple Models for High Frequency Friction: Exponential versus Gaussian Wings

Adelman

2009

J. Phys. Chem. B

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“…It has also been possible to uncover a range of distorting (and resistant) cognitive biases. Attempts are beirng made to impiove the quality of intellectual judgements made under uncertainty, and as mentioned earlier, the reports of Adelman et al (1984) are examples of the application of this approach to problems of military intelligence. In principle it should be possible to apply the psychology of decision-making to the evaluation of intelligence material relevant not only to battlefield conditions, as in Adelman's study, but also to potential acts of terrorism.…”

mentioning

confidence: 99%

Psychological Approaches to Organized Agression

Rachman¹

1987

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Psychologists are already making a small but useful contribution to the assessment of the effects of terrorist acts on victims. They have, moreover, started to develop useful guidelines for assisting victims to recover from the effects of terrorist acts, although as yet little has been learned that adds to our knowledge of terrorists or terrorist groups. Another topic that has yet to be analyzed is the psychology of negotiators and negotiations. The possibility of making predictions about terrorist acts on the basis of psychological data has not yet been evaluated, either. One thing appears clear, however. Acts of political violence should be separated from non-political acts of criminal violence. The search for psychological profiles that will discriminate between terrorists and non-terrorists will otherwise be fruitless. As a final topic, practical obstacles to conducting psychological research into terrorism are also considered. UNCLASS IF I ED SgCuITV CLASSIFICATION OF TMIS PAGEIEINR D0 90 ,)

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Intelligence Preparation of the Battlefield: Critique and Recommendations

Cited by 2 publications

References 32 publications

Comparison of Two Simple Models for High Frequency Friction: Exponential versus Gaussian Wings

Comparison of Two Simple Models for High Frequency Friction: Exponential versus Gaussian Wings

Psychological Approaches to Organized Agression

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