In many e-commerce sites, recommender systems, which provide personalized recommendations from among a large number of items, have recently been introduced. Collaborative filtering is one of the most successful algorithms which provide recommendations using ratings of users on items. There are...

We propose a simple agent-based model of the political election prediction market which reflects the intrinsic feature of the prediction market as an information aggregation mechanism. Each agent has a vote, and all agents’ votes determine the election result. Some of the agents participate in...

Purpose – This paper claims that the parking policy is one of the most obvious tools for reducing traffic congestion, pollutant emissions and conflicts between transportation network users. The purpose of this paper is to propose and implement a strategy, via a simulation tool, for the sharing...

In this paper we present some multiagent simulations in which the individuals try to reach a uniform vocabulary to name spatial movements. Each agent has initially a random vocabulary that can be modified by means of interactions with the other agents. As the objective is to name movements, the...

In this paper we present a simple agent based model aimed to the qualitative description of some ``stylized facts'' typical of financial markets. The framework is a simple two assets model: a riskless bond, with a constant riskless return and a risky stock, paying constant dividends. Both the...

In this paper, we present agent-based simulations that model the interactions between software buyers and vendors in a software market that offers Software-as-a-Service (SaaS) and perpetual software (PS) licensing under different pricing schemes. In particular, scenarios are simulated, in which...