jointly held with
AI*IA 2019, the18th International Conference of the Italian Association for Artificial Intelligence
Description
The Internet of Things (IoT) is expected to reach its full potential through actually intelligent and autonomous cyber-physical devices and systems. Along this line, Artificial Intelligence (AI) is likely to be the best source of resources – such as algorithms, technologies, methodologies, and paradigms – enabling the development of next-generation “smart” devices and systems. In fact, the “IoT-AI” combination let us envision a cyber-physical scenario (often referred to as IoIT, i.e., “Internet of Intelligent Things”) where devices compute while interacting with each others, with human users, and with their surrounding environments in a dynamic, adaptive, and cognitive way. This vision is expected to bring great improvements and advantages – as well as, of course, novel challenges – in virtually all applicative contexts, including, but not limited to, Industry 4.0, e-Health, entertainment, logistics, etc.
However, although the premise and the comforting initial results, a decidedly relevant technical and research work is still lacking before the IoT can effectively promote the next socio-economic revolution. In particular, despite the large body of results and techniques that individually characterize the two areas – IoT and AI – and despite the extensive use of ML for the analysis of the data produced by IoT systems, to date little attention has been paid to provide the interconnected objects with of an actual intelligence that allows them to (i) recognize the context in which they are located, (ii) interact effectively, flexibly and dynamically with human beings, (iii) interact with each other in ways not a-priori defined by the designers and, hopefully, (iv) opportunistically exploit the situation in which they are immersed and the interactions therein possible to fulfill their own purposes. It is reasonable to expect that great benefits for the IoT can emerge by combining the whole spectrum of AI techniques with the various approaches used in the IoT to distribute data and computation and to exploit the interaction between multiple devices. For this reason, this session aims to explore not only the adaptation of existing AI techniques to the IoT context, but also the development of new specific and original approaches. The session, therefore, aims to collect contributions from the academic and industrial world, to present innovative solutions for the development of intelligent IoT ecosystems as well as new business models and relevant experiences from successful smart applications. In order to fully explore AI opportunities for the IoT, the submission of contributions related to the following topics is encouraged:
- Theories and formal methods for the analysis and modelling of IIoT systems
- Innovative computational models to support cognitive devices and systems
- Paradigms, methodologies and tools for the development of IIoT ecosystems
- AI for Edge Computing
- Architectures and network protocols for the cognitive IoT
- AI for secure IoT networks and devices
- Big & smart data for the IIoT
- Methods and techniques of automatic reasoning to support for the IoIT
- Advanced Human-Machine Interaction through IoT devices/systems
- Smart Applications for IoT ecosystems
- Services and business models for the IoIT
- General-purpose yet flexible tools for simulating IIoT systems
Important Dates
Papers Submission Due: September 15th, 2019
Acceptance Notification: October 15th, 2019
Camera-Ready Due: November 1st, 2019
Workshop Dates: November 22th, 2019
Program and Proceedings
Slides of the presented papers
Chairs
(Leading Chair) Giancarlo Fortino – Univ. of Calabria, g.fortino@unical.it
Andrea Omicini – Univ. of Bologna, andrea.omicini@unibo.it
Claudio Savaglio – Univ. of Calabria, csavaglio@dimes.unical.it
Giovanni Ciatto – Univ. of Bologna, giovanni.ciatto@unibo.it
Technical Program Committee
Stefano Basagni, Northeastern University, USA
Stefano Bromuri, Open University of the Netherlands, Netherlands
Davide Calvaresi, HES-SO, Switzerland
Aldo F Dragoni, Univ. Politecnica delle Marche, Italy
Guido Governatori, CSIRO, Australia
Antonio Guerrieri, ICAR-CNR, Italy
Antonio Liotta, Univ. Of Derby, UK
Fabrizio Messina, Univ. of Catania, Italy
Roberto Minerva, IMT, France
Gian Pietro Picco, Univ. of Trento, Italy
Barbara Re, Univ. di Camerino, Italy
Michele Ruta, Politecnico di Bari, Italy
Giandomenico Spezzano, ICAR-CNR, Italy
Giorgio Terracina, Univ. of Calabria, Italy
Mirko Viroli, Univ. of Bologna, Italy
Franco Zambonelli, Univ. Modena-Reggio Emilia, Italy
Submission Instructions
The submitted papers should be written in English and formatted according to the Springer LNCS style. Papers must be original papers which are not being submitted simultaneously for publication elsewhere. These papers should not exceed 12 pages plus bibliography.
Paper submission is electronic via Easychair at the address: EasyChair Submission website