Zusammenfassung
Dieses Paper präsentiert die IDEATE Architektur, eine auf den Sozialwissenschaften basierende Architektur zur Abbildung von Entscheidungsfindung und Verhalten von intelligenten Agenten. Besonderer Fokus der Architektur liegt auf der unmittelbaren Berücksichtigung von persönlichen und gesellschaftlichen Überzeugungen und Meinungen bei Entscheidungsfindung und der damit verbundenen Wechselwirkung von Agent und Umwelt. Darüber hinaus schlägt dieses Paper ein geeignetes Verfahren zur Formalisierung der Überzeugungen und Meinungen zur Anwendung der IDEATE Architektur in einem späteren Simulationssystem vor.
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References
Shiftan Y (2000) The advantage of activity-based modelling for air-quality purposes: theory vs practice and future needs. Innov Eur J Soc Sci Res 13(1):95–110
Fernald LD (2007) Psychology: six perspectives. Sage, Thousand Oaks
Fishbein M, Ajzen I, Belief, Attitude (1975) Intention and behavior: an introduction to theory and research. Longman Higher Education, Harlow
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2):179–211
Fishbein M, Ajzen I (2010) Predicting and changing behavior: the reasoned action approach. Taylor & Francis, New York
Bandura A (1986) Social foundations of thought and action: a social cognitive theory. Prentice-Hall, Upper Saddle River
Bandura A (1982) Self-efficacy mechanism in human agency. Am Psychol 37(2):122–147
Giddens A, Duneier M. Appelbaum RP, Carr D (2016) Introduction to sociology, 10th edn. W. W. Norton, New York
Barker C (2005) Cultural studies: theory and practice. Sage, Thousand Oaks
Bourdieu P, Wacquant L (1992) Invitation to a reflexive sociology. University of Chicago Press, Chicago
Bryant CGA (2002) George Soros’s theory of reflexivity: a comparison with the theories of Giddens and Beck and a consideration of its practical value. Econ Soc 31(1):112–131
Giddens A (1984) The constitution of society. University of California Press, Oakland
Bourdieu P (1984) Distinction: a social critique of the judgement of taste. Harvard University Press, Cambridge
Bourdieu P (1986) The forms of capital. In Richardson JG (Ed) Handbook of theory of research for the sociology of education. ABC-Clio, Santa Barbara
Coleman J (1964) Introduction to mathematical sociology. Free Press of Glencoe, Glencoe
Coleman J (1998) The foundations of social theory. Belknap Press, Cambridge
Krugman P, Wells R(2012) Economics. W. H. Freeman, London
Rittenberg L, Tregarthen T (2009) Principles of microeconomics. Flat World Knowledge, Boston
Shefrin H (2002) Beyond greed and fear: understanding behavioral finance and the psychology of investing. Oxford University Press, Oxford, UK
Jessup LM, Valacich JS (2003) Information systems today: managing in the digital world. Prentice-Hall, Upper Saddle River
Davis F, Bagozzi P, Warshaw P (1989) User acceptance of computer technology – a comparison of two theoretical models. Manag Sci 35(8):982–1003
Venkatesh V, Davis F (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci 46(2):186–204
Venkatesh V, Morris MG, Davis GB, Davis F (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478
Venkatesh V, Thong JYL, Xu X (2012) Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q 36(1):157–178
Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19(2):213–236
Tétard F, Collan M (2009) Lazy user theory: a dynamic model to understand user selection of products and services. In Proceedings of the 42nd Hawaii international conference on system sciences, Washington
Wooldridge M (2009) An introduction to multiAgent systems. Wiley, West Sussex
Wooldridge M (2013), Intelligent agents. In Weiss G (Ed) Multiagent systems. MIT Press, Cambridge, pp 3–50
Lim C, Baumgarten R, Colton S (2010) Evolving behaviour trees for the commercial game DEFCON. In Proceedings of EvoApplications, Berlin
Kamiński B, Jakubczyk M, Szufel P (2018) A framework for sensitivity analysis of decision trees. CEJOR 26(1):135–159
Quinlan JR (1987) Simplifying decision trees. Int J Man Mach Stud 27(3):221–234
Russell S, Norvig P (2010) Artificial intelligence. Pearson, London
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Pedrycz W (1993) Fuzzy control and fuzzy systems. Wiley, New York
Kendal S, Creen M (2007) An introduction to knowledge engineering. Springer, London
Acknowledgments
This work is part of the project “NEMo – Sustainable satisfaction of mobility demands in rural regions”. The project is funded by the Ministry for Science and Culture of Lower Saxony (Germany) and the Volkswagen Foundation (VolkswagenStiftung) through the “Niedersächsisches Vorab” grant programme (grant number VWZN3122).
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Dählmann, K., Sauer, J. (2019). Towards an Integrated Agent and Environment Architecture for Simulation of Human Decision Making and Behavior. In: Marx Gómez, J., Solsbach, A., Klenke, T., Wohlgemuth, V. (eds) Smart Cities/Smart Regions – Technische, wirtschaftliche und gesellschaftliche Innovationen. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25210-6_19
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