In this paper the behaviour of a bee colony is modeled as a society of communicating agents acting in parallel and synchronizing their behaviour. Two computational models for defining the agents behaviour are introduced and compared and tools developed for these models are briefly illustrated.

This paper provides an analysis of the use of computational models for predicting the effects of different policy instruments on urban transport systems. We define a framework for describing and comparing current approaches that takes into account (i) what policy instruments are studied, (ii) what type of effects are predicted, (iii) which factors are modeled, (iv) the type of model used, and (...

This work concerns the challenge of computational accountability in a multiagent setting where agents interact inside organizations. We illustrate the requirements to realize accountability with the help of a scenario. Then, we provide a characterization of computational accountability in terms of a few general principles. We introduce and explain the ADOPT accountability protocol and show how ...

An urn-ball probabilistic model of the labor market is developed. Agents can be employed, (voluntary or involuntary) unemployed or entrepreneurs. The analytical long run equilibrium probabilities for each state and the matching function are derived. In equilibrium, a higher reservation wage increases the number of start-ups, but has an overall negative impact on the unemployment rate. A more bu...

Fostering user engagement is an important process in humanagent interaction. To this end, we present a computational model that endows an Embodied Conversational Agent with the ability to choose when to share appreciations with a user, according to his/her level of engagement.

The Schelling model is one of a small number of “agent based” population models, where individual members of the population (agents) interact directly with other agents and move in space and time. In this note we study one-dimensional Schelling population models as dynamical systems and find formulas and precise asymptotics for the number of limit states.

ions for conceptual and computational modeling. Thus, the developers often require the necessary acquisition of new skills to understand and design with the MAS methodologies. As a consequence, the creation of applications is very hard and difficult for the MAS developer, because there is no agreement about a common group of components that can be used across different MAS methodologies and pla...

Effective reasoning about the impact of security policy decisions requires understanding how human users actually behave, rather than assuming desirable but incorrect behavior. Simulation could help with this reasoning, but it requires building computational models of the relevant human behavior and validating that these models match what humans actually do. In this paper we describe our progre...

Human is a crucial factor responsible for local and large scale environmental change and is a key factor in rural management. Accurate simulating and predicting population change and its spatial distribution is of great interests to environmental scientists as well as social scientists. In this paper, we introduced the development of a spatial-explicit agent-based population model for China bas...

This paper aims to study the mechanical behaviour and failure mechanism of intact rocks under different loading conditions using the grain based model implemented in the universal distinct element code (UDEC). The grain based numerical model is a powerful tool to investigate complicated micro-structural mechanical behaviour of rocks. In the UDEC grain based model, the intact material is simulat...