Overview of Artificial Intelligence
Abstract
Artificial Intelligence (AI) is used to develop systems that can understand, think, and learn just like human beings. The AI is replicating the human intelligence and can perform tasks such as playing games, planning surgery, driving a vehicle, suggesting a shopping list, etc. With the help of AI, the software or processes developed can solve real-world problems, such as health care, travel, marketing, traffic, etc., with greater accuracy and speed. In a way, it provides an intelligent link between perception and action. The historical perspective gives an insight into understanding the systematic development and growth of AI. There are seven types of AI systems that can be used to represent intelligent behavior, among them learning new things and explaining and making suggestions to users. In addition, with the help of machine learning and artificial neural networks, robots have been developed that work in an environment where there is a risk to humans. The expert systems using AI are being created that can be used for a large number of activities. These systems have a large number of applications, including solving knowledge-intensive tasks quickly. The expert systems and AI can be used to create personal virtual assistants. AI has several advantages and disadvantages that are to be considered while developing some applications.
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AI/ML/DL algorithms must be designed to prevent accidents, detect and respond to potential hazards, and avoid collisions with humans and other objects.
“AI/ML/DL algorithms must be designed to prevent accidents, detect and respond to potential hazards, and avoid collisions with humans and other objects [59] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [59]
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
Nwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., Ndubuisi Nweke, C. C., & Kim, D.-S. (2023) · Applied Sciences · doi:10.3390/app13031252 · Cited by 202 · see citing works
- Authors
- Garg, P. K.
- Corresponding author
- Garg, Pradeep Kumar
- ORCID
- Garg, Pradeep Kumar
- Venue
- Artificial Intelligence
- Publisher
- Chapman and Hall/CRC
- Published
- 2021-10-05
- Pages
- 3-18
- OpenAlex
- W3203505194
- Cited by
- 40
- References
- 0
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 8 · 2023: 6 · 2022: 2
- FWCI
- 6.65
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- artificial intelligence, machine learning, artificial neural networks, expert systems, robots, virtual assistants, history of artificial intelligence, artificial intelligence applications, perception and action, knowledge-intensive tasks
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