LPaaS as Micro-intelligence: Enhancing IoT with Symbolic Reasoning


Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini

In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data—in short, they have to behave intelligently. Despite the success of non-symbolic techniques such as deep learning, still symbolic approaches to machine intelligence have a role to play in order to achieve key properties such as observability, explainability, and accountability. In this paper we focus on logic programming (LP), and advocate its role as a provider of symbolic reasoning capabilities in IoT scenarios, suitably complementing non-symbolic ones. In particular, we show how its re-interpretation in terms of LPaaS (Logic Programming as a Service) can work as an enabling technology for distributed situated intelligence. A possible example of hybrid reasoning – where symbolic and non-symbolic techniques fruitfully combine to produce intelligent behaviour – is presented, demonstrating how LPaaS could work in a smart energy grid scenario.

(keywords) Logic Programming as a Service, IoT, symbolic reasoning

Big Data and Cognitive Computing 2(3), 26 pagine, articolo n.23,  2018, MDPI.

@article{lpaas-bdcc2,
Articleno = 23,
Author = {Calegari, Roberta and Ciatto, Giovanni and Mariani, Stefano and Denti, Enrico and Omicini, Andrea},
Doi = {10.3390/bdcc2030023},
IrisId = {11585/640012},
Issn-Online = {2504-2289},
Journal = {Big Data and Cognitive Computing},
Keywords = {Logic Programming as a Service, IoT, symbolic reasoning},
Number = 3,
Numpages = 26,
Publisher = {MDPI},
Title = {{LPaaS} as Micro-intelligence: Enhancing {IoT} with Symbolic Reasoning},
Url = {http://www.mdpi.com/2504-2289/2/3/23},
Url-Pdf = {http://www.mdpi.com/2504-2289/2/3/23/pdf},
Volume = 2,
Year = 2018}

Riviste & collane

Pubblicazione

— autori/autrici

Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini

— stato

pubblicato

— tipo

articolo su rivista

Sede di pubblicazione

— rivista

Big Data and Cognitive Computing

— volume/numero

2 (3)

— data di pubblicazione

2018

— articolo n.

23

URL & ID

pagina originale
PDF originale
citazioni Scholar

— DOI

10.3390/bdcc2030023

— IRIS

11585/640012

— Scholar

247396456770353218

— online ISSN

2504-2289

BibTeX

— BibTeX ID
lpaas-bdcc2
— BibTeX category
article

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