Current and Future Developments in Artificial Intelligence

Current and Future Developments in Artificial Intelligence

Intelligent Computational Systems: A Multi-Disciplinary Perspective

Intelligent Computational Systems presents current and future developments in intelligent computational systems in a multi-disciplinary context. Readers will learn about the pervasive and ubiquitous ...
[view complete introduction]

US $
30

*(Excluding Mailing and Handling)



A Multi Agent Model for Reverse Perception Effect

Pp. 122-153 (32)

Nuno Trindade Magessi and Luis Antunes

Abstract

One of the most intriguing and challenging problems in cognitive science is the difference between the individuals’ perception about reality and the reality itself. Until the last decade, the main focus has been on the behaviour of individuals and the evidences of their biases, according to some stimulus. Now, researchers have centred their focus on the main reasons why these biases occur. Consequently, it is important to analyse deeply what are the consequences of these biases to society. For that purpose, we tackle the problem by using the case study of Acquired Immune Deficiency Syndrome (AIDS) and how people perceive it. In this article, we built a multi agent model to understand the consequences to the society when individuals do not perceive correctly, the reality. The obtained results reveal that the agents who perceive more correctly the danger of HIV are the ones who have more propensities to be infected and contaminate the rest of population. This is the opposite of what is expected from perception demonstrating the existence of a reverse effect.

Keywords:

Cognitive Psychology, Health Risk Assessment, HIV dissemination, Multi-agent Model, Risk Perception.

Affiliation:

BioISI/ MAS/ Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal.