An agent-based approach to assess drivers’ interaction with pre-trip information systems.

This article reports on the practical use of a multi-agent microsimulation framework to address the issue of assessing drivers’ responses to pretrip information systems. The population of drivers is represented as a community of autonomous agents, and travel demand results from the decision-making deliberation performed by each individual of the population as regards route and departure time. A simple simulation scenario was devised, where pretrip information was made available to users on an individual basis so that its effects at the aggregate level could be observed. The simulation results show that the overall performance of the system is very likely affected by exogenous information, and these results are ascribed to demand formation and network topology. The expressiveness offered by cognitive approaches based on predicate logics, such as the one used in this research, appears to be a promising approximation to fostering more complex behavior modelling, allowing us to represent many of the mental aspects involved in the deliberation process

Current emotion research in anthropology: Reporting the field

An internal critique of anthropology in recent decades has shifted the focus and scope of anthropological work on emotion. In this article, I review the changes, explore the pros and cons of leading anthropological approaches and theories, and argue that—so far as anthropology is concerned—only detailed narrative accounts can do full justice to the complexity of emotions. A narrative approach captures both the particularity and the temporal dimension of emotion with greater fidelity than semantic, synchronic, and discourse-based approaches