Paper Info
Title
Conceptual Description of Nature-Inspired Cognitive Cities: Properties and Challenges.
Abstract
Smart cities result from the wide adoption of information and communication technologies aimed at addressing challenges arising from overpopulation and resources shortage. Despite their important and fundamental contributions, ICT alone can hardly cope with all the challenges posed by growing demands of overpopulated cities. Hence, novel approaches based on innovative paradigms are needed. In this article we revise the concept of Cognitive City founded on Siemens' Connectivism and understood as the evolution of current smart cities augmented with artificial intelligence, internet of things, and ubiquitous computing. We present the concept of cognitive city as a complex system of systems resembling complex adaptive systems with natural resilient capabilities. We build and propose our model upon the principles of decentralized control, stigmergy and locality, multi-directional networking, randomness, specialization and redundancy. Also, we show a realistic application of our model. With the aim to set the ground for further research, we summarize the main challenges that remain open, both from a societal and technical perspective. Hence, the goal of this article is not to provide a solution to those challenges but, to raise awareness on the problem, and foster further research in the multiple lines that remain open.
Year
DOI
Venue
2019
10.1007/978-3-030-19651-6_21
Lecture Notes in Computer Science
Keywords
Field
DocType
Cognitive city,Smart city,Artificial intelligence,Natural computing,Learning strategies,Human-machine interaction
Data science,Overpopulation,Natural computing,Computer science,Information and Communications Technology,Artificial intelligence,Smart city,Cognition,Economic shortage,Machine learning,Human machine interaction
Conference
Volume
ISSN
Citations 
11487
0302-9743
1
PageRank 
References 
Authors
0.36
0
2
Name
Order
Citations
PageRank
Juvenal Machin110.70
Agusti Solanas268750.73