A Human-like Strategy For Pervasive Service Composition

Abstract

Insecurity is a common problem that all cities face, and different solutions have been developed throughout history to prevent or eradicate this problem. Using existing technology or developing new one is a good strategy; currently there has been technological breakthroughs, both in software and hardware, that allows us to use of Artificial Intelligence (AI) algorithms. Cognitive processes are studied in order to build solutions of problems in a way similar to what humans do. In this work, we propose the interaction among cognitive processes and info-communication devices to enable an artificial cognitive system to compose pervasive services useful to solve complex problems of public safety. Specifically, to deter predatory crimes when the predator decides to perform the crime and is within the victim's vicinity.