The goal of this work is to study emergent mechanisms that could possibly be embedded in multiagents systems in order to solve complex problems of distributed diagnosis. We assume the hypothesis that emergent functionalities share important structural and constitutive aspects, independently of the domain from which they emerge. The challenge of understanding self-organizing mechanisms (which allow that emergence occurs in nature) is important to develop systems able to better learn and adapt. Following such perspective we have been studying the human immune system (HIS) as a metaphor to solve problems where complexity and distribution are crucial constraints. Work in this paper reflects how characteristics from the HIS can be applied to conceive diagnosis systems. An application was implemented to student diagnosis in the context of an educational environment for learning basic programming skills.
['Carine Webber', 'João Luis Tavares da Silva']
Self and non-self discrimination agents