About Us

KEY WORDS

Soft-Computing, Socio-cultural Modeling, Forecasting, Social Patterns, Human Social Culture Behavior, Cellular automata, Complex Systems.

ABSTRACT

Human behavioral and socio-cultural soft-computational modeling requires the ability to represent and manipulate imprecise perceptual and cognitive concepts. The research investigation into soft-computational models of human behavior and socio-cultural interactions, account for natural vagueness of human thought and communication, along with the dynamics, complexity, uncertainty, variability and unpredictability of actions and behavior. This paper covers selected softcomputational methods which were investigated for the Human Social Culture Behavior (HSCB) modeling program with the emphasis on the powerful computational benefits and usefulness of these methods to support forecasting social patterns and building socio-cultural decision support systems. The paper also introduces a novel social networking analysis model for the next generation decision sup-port systems.

CITATION INFORMATION

Acta Mechanica Slovaca. Volume 17, Issue 2, Pages 6 – 14, ISSN 1335-2393

DOWNLOAD

  Human Socio-cultural Behavior Modeling: A Soft-Computing Approach

REFERENCES

[1] Abraham, A., Hassanien, A. E., Snášel, V. (Eds.) (2010). “Computational social network analysis trends, tools and research advances”, Dordrecht: Springer, London

[2] Ahram, T. Z., Karwowski, W., (2012a). “Visual Social Network Analysis: Effective Approach to Model Complex Human Social, Behavior & Culture”. The 18th World Congress on Ergonomics (IEA) held February 12-16, 2012, in Recife, Brazil.
[3] Ahram, T. Z., Karwowski, W. (2012b) “Complex Systems Engineering for Rapid Computational Socio-Cultural Network Analysis and Decision Support Systems”, Proceedings of the ssecond International Conference on Social Eco-Informatics (SOTICS 2012) , Venice, Italy (October 21-26, 2012), (pp 61-67), ISBN: 978-1-61208-228-8.
[4] Ahram, T., Karwowski, W. and Amaba, B.(2011) “Collaborative systems engineering and social networking approach to design and modeling of smarter products”, Behav. Inf. Technol. 30, 1 (January 2011), 13-26.
[5] Ahram, T. Z., Karwowski, (2011). “Social Networking Applications:Smarter Product Design for Complex Human Behaviour Modeling”, Human Centered Design, Lecture Notes in Computer Science Human Computer Interaction Proceedings. 14th International Conference on Human-Computer Interaction (HCII 2011), Orlando, FL (July 9-14,2011), Volume 6776, 2011, pp 471-480.
[6] Aslaksen, E.W. (2009). “Designing Complex System”, Boca Raton, FL
[7] Banks, Edwin Roger. (1970, 28-30 Oct. 1970). “Universality in cellular automata”. Paper presented at IEEE Conference Record of 11th Annual Symposium on the Switching and Automata Theory.
[8] Carrington, P. J., and Scott, J. (2011), “The SAGE Handbook of Social Network Analysis”, London: Sage, chap. 1, pp. 1–8.[856]
[9] Cilliers, P. (1998). “Complexity and postmodernism : understanding complex systems”. London ; New York: Routledge.
[10] Codd, E. F. (1968). “Cellular automata”. New York: Academic Press.
[11] D’Andrea, Alessia et al. (2010). “An Overview of Methods for Virtual Social Network Analysis”. In Abraham, Ajith et al..Computational Social Network Analysis: Trends, Tools and Research Advances. Springer. p. 8. ISBN 978-1-84882-228-3.
[12] Frias-Martinez, E., Magoulas, G., Chen, S., Macredie, R. (2005). “Modeling human behavior in user-adaptive systems:Recent advances using soft computing techniques”, Expert Systems with Applications, Volume 29, Issue 2, August 2005, Pages 320-329, ISSN 0957-4174, 10.1016/j. eswa.2005.04.005.
[13] Ghanmi, S., Guedri, M., Bouazizi, M. -L., Bouhaddi N. (2007). “Use of Metamodels in the Multi-Objective Optimization of Mechanical Structures with Uncertainties”, International Journal for Computational Methods in Engineering Science and Mechanics, Vol. 8, Iss. 5, 2007

[14] Goldenberg, A., Zheng, A., Fienberg, S., and Airoldi, E. (2009), “A Survey of Statistical Network Models,” Foundations and Trends×R in Machine Learning, 2, 129–233. [857]
[15] Hoekstra, Alfons G.; Kroc, Jiří; Sloot, Peter M. A. (2010). “Simulating Complex Systems by Cellular Automata, Understanding Complex Systems”, Volume 0. ISBN 978-3-642-12202-6. Springer-Verlag Berlin Heidelberg, 2010, p. 1

[16] Hunter, D., Krivitsky, P., Schweinberger, M. (2012): Computational Statistical Methods for Social Network Models, Journal of Computational and Graphical Statistics, 21:4, 856-882

[17] IWJOC. Irregular Warfare Joint Operating Concept. 11 September 2007. http://www.fas.org/irp/doddir/dod/iw-joc.pdf.
[18] Karwowski, W., Ahram, T. Z., (2011) “Developing Human Social, Cultural, Behavior (HSCB) Ontologies: Visualizing & Modeling Complex Human Interactions”, Presented at the Office of Secretary of Defense Human Social, Culture Behavior Modeling Conference (HSCB Focus 2011) (February8-10, 2011). Chantilly, VA
[19] Knoke, D., Yang, S., & Knoke, D. (2008). “Social network analysis”. Los Angeles: Sage Publications.
[20] Kohonen, T. (2001). “Self-Organizing Maps”, New York:Springer.

[21] Kolaczyk, E. D. (2009), “Statistical Analysis of Network Data:Methods and Models”, New York: Springer. [857]
[22] Margolus, Norman. (1984). “Physics-like models of computation”. Physica D: Nonlinear Phenomena, 10(1–2), 81-95. doi: 10.1016/0167-2789(84)90252-5
[23] Miller, J. H., & Page, S. E. (2007). “Complex adaptive systems:an introduction to computational models of social life”, John H. Miller and Scott E. Page. Princeton, New Jersey: Princeton University Press.
[24] Numrich, S.K., and Tolk, A. (2010). “Challenges for Human, Social, Cultural, and Behavioral Modeling”. SCS M&S Magazine1(1).
[25] Schmorrow, D., Nicholson, D. (Eds.) (2010). “Advances in Cross-Cultural Decision Making, Volume 3 of Advances in Human Factors and Ergonomics Series. Taylor & Francis, Boca Raton, FL
[26] Thirumaran, M., Dhavachelvan, P., Aishwarya, D., Kiran Kumar Reddy (2012). “Evaluation of Change Factors for Web Service Change Management”, Procedia Technology, Volume 6, 2012, Pages 163-170, ISSN 2212-0173, 10.1016/j. protcy.2012.10.020.
[27] Von Neumann, John, Burks, Arthur W., & Burks, Arthur Walter ed. (1966). “Theory of self-reproducing automata”. Edited and completed by Arthur W. Burks. Urbana: University of Illinois Press.
[28] White, Denis, & Kiester, A. Ross. (2008). “Topology matters:Network topology affects outcomes from community ecology neutral models. Computers”, Environment and Urban Systems, 32(2), 165-171. doi: 10.1016/j.compenvurbsys. 2007.11.002

Latest Issue

ams 2 2016

Download

Guests Online

We have 41 guests and no members online