Личностный потенциал. Структура и диагностика

Lefebvre V.A.Structure of Awareness: Symbolic Language Human Reflection. Beverly Hills: SAGE Publications, 1977.

Lefebvre V.A.Reflexive control: The Soviet concept of influencing an adversary’s decision making process. M.: Science Applications, 1984.

Lefebvre V.A.A Psychological Theory of Bipolarity and Reflexivity. Lewiston, NY: Edwin Mellen Press, 1992.

Lefebvre V.A.Extracting information about subjective states from a function describing human behavior: Reply to Rapoport on Human Choice // Psycoloquy. 1996 a. Vol. 7. Issue 08.

Lefebvre V.A.

Free will and the cosmic subject: Reply to Adams-Webber on Human Choice // Psycoloquy. 1996 b. Vol. 7. Issue 07.

Lefebvre V.A., Rapoport A.Algebra of Conscience. – Dordrecht (Holland): Kluwer Academic Publishers, 2001.

Lumsden C.J., Kreindler D., Woolridge N.W.EVA: Emotive agents, disordered minds. Telepolis, 1998. URL: http://www.heise.de/tp/english/special/vag/6228/1.html

Milton M.Tapping Wireless Technology to Track and Understand Mood Disorders // Hospital news. 2002. November. http://www.hospitalnews.com/modules/magazines/mag.asp?ID=3&IID=39&AID=424&PID=1

Mitina О, Abraham F., Petrenko V.Dynamical cognitive models of social issues in Russia // International Journal of Modern Physics. 2002. Vol. 13. № 2. P. 229–251.

Pezard L., Nandrino J.-L., Renault B., Massioui F.E., Allilairo F.A., Varela F.J., Martinerie J.

Depression as a dynamical disease // Biological Psychiatry. 1996. Vol. 39. P. 991–999.

Pincus S.M.Approximate Entropy (ApEn) as a complexity measure //Chaos. 1994. Vol. 5. P. 110–117.

Pincus S.M.Approximate entropy as a measure of system complexity // Proceedings of the National Academy of Science USA. 1991. Vol. 88. P. 2297–2301.

Robbins P.R. Tanck R.H.A study of diurnal patterns of depressed mood // Motivation and Emotion. 1987. Vol. 11. P. 37–49.

Sabelli H.Arrangement, a measure of nonrandom complexity // SAMS. 2002. Vol. 42 (3). P. 395–403.

Sabelli H.Novelty, a measure of creative organization in natural and mathematical time series // Nonlinear dynamics, psychology and life sciences. 2001. Vol. 5. № 2. P. 89—113.

Schulberg D., Gottlieb J.

Dynamics and Correlates of Microscopic changes in affect // Nonlinear Dynamics, psychology and Life Sciences. 2002. Vol. 6. July. № 3. P. 231–257.

Shoham Y., Leyton-Brown K.Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. N.Y.: Cambridge University Press, 2008.

Stewart I.N. Peregoy P.L.Catastrophe theory modeling in psychology // Psychological Bulletin. 1983. Vol. 94. P. 336–362.

Sun R.(Ed). Cognition and Multi-Agent Interaction. N.Y.: Cambridge University Press, 2006.

Ta’eed L.K., Ta’edd O., Wright J.E.Determinants involved in the perception of the Necker cubes: An application of catastrophe theory // Behavioral Science. 1988. Vol. 33. Issue 2. P. 97—115.

Thom R.Structural stability and morphogenesis. N.Y.: Benjamin-Addison-Wesley, 1975.

Totterdell P., Briner R.B., Parkinson B., Reynolds S.

Fingerprinting time series: Dynamic patterns in self-report and performance measures uncovered by a graphical non-linear method. // British Journal of Psychology. 1996. Vol. 87. P. 43–60.

Tschacher W., Dauwalder J.-P.(Eds.). Dynamics, synergetics, autonomous agents. Singapore: World Scientific, 1999.

Wolfram S.A new kind of science. Champaign (IL): Wolfram Media, Inc., 2002.

Yeragani V.K, Pohl R., Mallavarapu M., Balon R.Approximate entropy of symptoms of mood: an effective technique to quantify regularity of mood // Bipolar disorders. 2003. Vol. 5(4). P. 279–286. Zeeman E.C.Catastrophe theory: Selected papers, 1972–1977. – Reading (MA): Addison-Wesley, 1977.

Проблема социальной желательности в исследованиях личностного потенциала Е.Н. Осин