In this project, we aim at creating a generic system to represent several aspects of human knowledge and behavior, which includes the mechanisms behind knowledge acquisition and thinking through the analysis of relationship between semantic concepts. Upon modeling these relationships with semantic networks, we shall create a model simulating the cognitive activity in the brain using preferential random walks in order to understand how ideas are processed and organized in the cognitive brain layer. Through the study of real dialogues we propose a detailed investigation of parameters that would yield a consensus between emitter and receptor, characterized by a high similarity of active concepts in both communicative agents. The learning process will be studied by investigating how the model behaves when excited with words obtained by reading simulations. As such, in addition to investigating the properties of the dynamical system we believe that the analysis of activation patterns will provide insights regarding the amount of innovative information available in written documents. Because the model proposed is generic we speculate it can be applied to other complex systems since the absence of inhibitory connections makes it potentially useful to shed light into the problem of diffusion phenomena in neuronal and social networks.
News published in Agência FAPESP Newsletter about the scholarship: