Session

Computer Science and Communication Engineering

Description

The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent history. In the 1980s there has been a major paradigm shift towards embodiment. While embodied artificial intelligence is still highly diverse, changing, and far from “theoretically stable”, a certain consensus about the important issues and methods has been achieved or is rapidly emerging. In this paper we briefly characterize the field, summarize its achievements, and identify important issues for future research.

With the popularization of the Internet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development.

The goals of this research article are to review and synthesize the literature about service quality delivery through Artificial intelligence, describe what is known about the topic, and develop an agenda for needed research.

Keywords:

Artificial intelligence 20, Big, Human-machine hybrid-augmented intelligence, Autonomous-intelligent system, Industry

Session Chair

Edmond Jajaga

Session Co-Chair

Xhafer Krasniqi

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-60-8

First Page

54

Last Page

60

Location

Durres, Albania

Start Date

27-10-2017 4:15 PM

End Date

27-10-2017 6:00 PM

DOI

10.33107/ubt-ic.2017.87

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Oct 27th, 4:15 PM Oct 27th, 6:00 PM

Review of artificial intelligence development, its impact and its challenges

Durres, Albania

The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent history. In the 1980s there has been a major paradigm shift towards embodiment. While embodied artificial intelligence is still highly diverse, changing, and far from “theoretically stable”, a certain consensus about the important issues and methods has been achieved or is rapidly emerging. In this paper we briefly characterize the field, summarize its achievements, and identify important issues for future research.

With the popularization of the Internet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development.

The goals of this research article are to review and synthesize the literature about service quality delivery through Artificial intelligence, describe what is known about the topic, and develop an agenda for needed research.