Originality and value
Based on artificially intelligent agents, learning and search theory and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based micro-simulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.
Szeto, W., Wang, Y. and Han, K. (2015), "Bounded Rationality in Dynamic Traffic Assignment", Rasouli, S. and Timmermans, H. (Ed.) Bounded Rational Choice Behaviour: Applications in Transport, Emerald Group Publishing Limited, pp. 163-187. https://doi.org/10.1108/978-1-78441-072-820151016Download as .RIS
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