Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

Abstract While Internet of Things (IoT) smart farming promises significant benefits in terms of
enhancing efficiency, effectiveness, and productivity, and has witnessed increased adoption …

To provide the forest industry with a better understanding of alternatives to simulate future
adaptation pathways under evolving climatic and socio-economic uncertainty, we review the …

Agent-based modeling (ABM) has been widely employed by researchers in various
domains. Developing valid and useful agent-based models (ABMs) imposes challenges on …

Computational experiments have emerged as a valuable method for studying complex
systems, involving the algorithmization of counterfactuals. However, accurately representing …

This open access book presents a ground-breaking approach to developing micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

This chapter outlines the role that individual-level empirical evidence gathered from
psychological experiments and surveys can play in informing agent-based models, and the …

Emission permitting (EP) has been widely implemented to regulate point-source wastewater
emissions. However, the ways in which local industries respond to an EP intervention and to …

This paper proposes a trading system (TS) based on a multicriteria decision aid (MCDA)
process known as TODIM,(Multicriteria Interactive Decision Making) a Portuguese acronym …

For the problem of taxi carpooling detour, this paper studies driver strategy choice with
carpooling detour. The model of taxi driver strategy evolution with carpooling detour is built …