We aim to reduce the social cost of congestion in many smart city applications. In our model of congestion, agents interact over limited resources after receiving signals from a central agent that observes the state of congestion in real time. Under natural models of agent populations, we develop new signalling schemes and show that by introducing a non-trivial amount of uncertainty in the sign...

I study two mechanisms based on punishment to promote cooperation in the two-population snowdrift game. The first mechanism follows the traditional approach in the literature and is based on the inclusión of a third strategy in the payoff matrix of the stage-game. The second mechanism consists of letting cooperators to punish defectors with a given exogenous frequency. While both mechanisms sha...

Problem Audience segmentation or targeting interventions towards population subgroups, such as ethnic or racial groups, is hypothesized to increase the likelihood of intervention’s relevancy and effectiveness on promoting health behaviors. Therefore, evidence-based interventions (EBIs) developed for a population other than the one of interest are often considered as non-relevant, hindering diss...

A classical debate in economics addresses the advantages and drawbacks of modelling from a macroeconomics perspective as opposed to modelling from a microeconomics perspective. Form the latter psychological aspects at an individual level can be taken into account in a differentiated manner. Within computer science and AI, a similar debate exists about the differences between agent-based and pop...

How do movements in the distribution of income a¤ect the macroeconomy? Krusell and Smith (1998) analyzed this question in a neoclassical growth model, and their results show that the representative-agent assumption provides a good approximation for aggregate behaviors of heterogeneous agents. This paper extends their analysis to a cash-in-advance model with heterogeneous money demand. It is sho...

This paper explores the effects of information sharing on diversity and adaptivity of behaviors in competitive populations. We focus on the information supplement of congestion status at the events or theme parks. We have conducted a multi-agent simulation, in which each agent visiting the attractions is able to avoid the crowded ones by using the shared information among agents with a certain ...

We propose using community-centered analyses and agent-based models of scientific gatherings such as conferences, symposia and workshops as a way to understand how scientific practices evolve and transition between local, community, and systems levels in science. We suggest using robotics as a case study of global, cross-cultural, interdisciplinary scientific practice. What is needed is a set o...

xiii 1 GENERAL INFORMATION 1 1.