Cognitive Systems Approach to Smart Cities

TL;DR

This paper explores how cognitive systems, integrating AI and cognitive sciences, can address the complex requirements of smart city development, including IoT, sensor networks, and personalized services.

Contribution

It provides a comprehensive analysis of the role of cognitive systems in enhancing smart city technologies and discusses practical project examples and literature insights.

Findings

Cognitive systems can improve human interaction in smart cities.

Integration of AI and cognitive sciences addresses smart city challenges.

Examples demonstrate practical applications of cognitive approaches.

Abstract

In our connected world, services are expected to be delivered at speed through multiple means with seamless communication. To put it in day to day conversational terms, 'there is an app for it' attitude prevails. Several technologies are needed to meet this growing demand and indeed these technologies are being developed. The first noteworthy is Internet of Things (IoT), which is in itself coupled technologies to deliver seamless communication with 'anywhere, anytime' as an underlying objective. The 'anywhere, anytime' service delivery paradigm requires a new type of smart systems in developing these services with better capabilities to interact with the human user, such as personalisation, affect state recognition, etc. Here enter cognitive systems, where AI meets cognitive sciences (e.g. cognitive psychology, linguistics, social cognition, etc.). In this paper we will examine the requirements imposed by smart cities development, e.g. intelligent logistics, sensor networks and domestic appliances connectivity, data streams and media delivery, to mention but few. Then we will explore how cognitive systems can meet the challenges these requirements present to the development of new systems. Throughout our discussion here, examples from our recent and current projects will be given supplemented by examples from the literature.