DLVSystem: Artificial Intelligence and Technology Innovation from Calabria

Data Science Milan
2 min readMar 8, 2021

“Towards an innovation world”

On 18th February 2021, Data Science Milan has organized a webMeetup in collaboration with Democratize AI, hosting Professor Francesco Calimeri to talk about Artificial Intelligence topic.

“DLVSystem: Artificial Intelligence and Technology Innovation from Calabria”, by Francesco Calimeri, Professor at the Calabria University from Department of Mathematics and Informatics, partner in DLVSystem.

Prof. Calimeri has started introducing the Artificial Intelligence concept in the way thought by people: machines that can become humans, machines with human behaviour and emotions. Actually, Artificial Intelligence is a discipline focused on comprehension and replication of intelligent behaviours. The term of Artificial Intelligence was born in the 1955 from John McCarthy: “The science and the engineering of making intelligent machines, especially intelligent computer programs”. At the beginning there were two approaches: strong AI with the goal to replicate humans in solving problems and weak AI with the goal to solve problems in a rational way replacing human activity.

In the recent years there are settled other concepts: narrow AI and general AI. In the first one, are developed technologies to solve specific tasks and able to outperform humans into specific tasks, so narrow AI is able to replace them. The second one, general AI, has the goal to apply knowledge and skills in different situations in the same way of human intelligence.

Fundamentals of AI are coming from many disciplines such as philosophy, mathematics, psychology, computer technology and so on.

In the approaches of AI there are several types of inference. The deduction approach starts from general rules to apply at specific tasks, true premises guarantee true conclusions.

Instead, the induction approach starts from data to reach general rules. The third approach is the abduction: from observations, the goal is to reach plausible conclusions able to understand the observed event.

Prof. Calimeri presented DLVSystem as a spin-off from University of Calabria with the intent to transfer research knowledge on the market by activities that are shared into deductive and inductive approaches. Typical examples of DLV applications are: a question answering tool, a workforce management tool, an e-recruitment tool, technologies built by declarative languages.

References

Artificial Intelligence: Foundations of Computational Agents

Recording&Slides:

video

slides

Written by Claudio G. Giancaterino

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