• tag:aim-pro.eu,2026:oer/53143f33bf21
• https://zenodo.org/records/19796687
• doi:10.5281/zenodo.19796687
• zenodo-record:19796687

This engine's id, the source URI, and any persistent identifier the source published.

• Artificial Intelligence

The title of this resource, not of the record or repository it came from.

• dcmitype:Text
• Book

A DCMI Type term for the form held, plus the source's own genre label as declared.

• Mr. Dasaradha Arangi
• Dr. M. V. B. Chandrasekhar
• Dr. B. Kiran Kumar
• Mr. K. V. Chandra Sekhar
• Mr. Pradeep Kumar Mahapatro
• Mr. Chodi Sai Kishore

Only agents the source named as creators. A repository owner is not made an author by default.

• Artificial Intelligence is a comprehensive academic textbook designed to provide students, educators, researchers, and technology enthusiasts with a strong foundation in the rapidly evolving field of AI. Authored by experienced academicians and industry professionals, this book presents core concepts, theoretical principles, and practical applications of Artificial Intelligence in a clear, structured, and learner-friendly format. It serves as an essential resource for engineering, computer science, data science, and technology-related academic programs. The book systematically covers major topics such as the history and foundations of Artificial Intelligence, intelligent agents, problem-solving techniques, search algorithms, heuristic methods, minimax and alpha-beta pruning, knowledge representation, logical reasoning, planning systems, uncertain knowledge, probabilistic reasoning, Bayes’ theorem, Bayesian networks, and machine learning fundamentals. Real-world examples, diagrams, and problem-solving models are included to help readers understand how AI systems operate in practical environments. Special emphasis is given to balancing theoretical understanding with modern applications across healthcare, finance, robotics, education, transportation, cybersecurity, and automation. The text also introduces readers to emerging domains such as Generative AI, Explainable AI, deep learning, and ethical AI, making it highly relevant for present-day learners and professionals. Written in accessible language with organized chapter progression, Artificial Intelligence is ideal for undergraduate and postgraduate students, faculty members, self-learners, and professionals seeking career advancement in intelligent technologies. This book is a valuable reference for university courses, competitive exams, certification programs, research preparation, and skill development in AI-driven industries. It empowers readers with analytical thinking, computational intelligence, and the technical knowledge required for the future of smart systems and digital innovation.

The abstract, and the depositor's additional notes after it when the source has a field for them.

• en

The language of the content as the language gate read it.

• https://creativecommons.org/licenses/by/4.0/

The licence document, as a URI where the gate resolved one.

• CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive

The verdict and the conditions, in words.

• open

The access condition the source declared. Not the licence.

• application/pdf
• text/markdown

One value per form held — the original and the extracted text.

• 3014869 bytes (original)
• 2432 bytes (extracted text)

Sizes in bytes, each saying which form it measures.

• 2026-01-31

When the resource was published. Not when it was collected.

• 2026-04-26

When the source's own record was last changed.

• 2026-04-26

• https://doi.org/10.5281/zenodo.19796686

• Retrieved from Zenodo on 2026-10-09 in response to the search string “("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI concepts" OR "types of AI" OR "AI fundamentals" OR "recognizing AI" OR "recognising AI" OR "general versus narrow AI" OR "narrow AI" OR "general AI" OR "machine intelligence" OR "AI strengths and weaknesses" OR "traditional software" OR "rule-based systems" OR "introduction to AI" OR "introduction to artificial intelligence" OR "artificial intelligence introduction" OR "AI primer" OR "foundations of artificial intelligence" OR "overview of AI" OR "understanding AI" OR "history of AI" OR "AI essentials" OR "AI terminology" OR "metaphors for AI" OR "AI fundamental concepts" OR "AI key concepts" OR "philosophy of AI" OR "critical AI literacy")”. Zenodo served the resource and is not asserted to be its publisher or author.
• Text extracted from metadata to Markdown by metadata-stub; the original is retained unchanged beside it.

Where it was collected from, what was converted, and what container it came out of — the custody statements that would otherwise be mistaken for authorship.

• URI: tag:aim-pro.eu,2026:oer/53143f33bf21
• URI: https://zenodo.org/records/19796687
• DOI: 10.5281/zenodo.19796687
• ZENODO-RECORD: 19796687

This engine's identifier for the resource, the source URI, and any persistent identifier the source published.

• Artificial Intelligence

• en

The language of the content, as the language gate read it off the converted text. The language the source declared is kept separately.

• Artificial Intelligence is a comprehensive academic textbook designed to provide students, educators, researchers, and technology enthusiasts with a strong foundation in the rapidly evolving field of AI. Authored by experienced academicians and industry professionals, this book presents core concepts, theoretical principles, and practical applications of Artificial Intelligence in a clear, structured, and learner-friendly format. It serves as an essential resource for engineering, computer science, data science, and technology-related academic programs. The book systematically covers major topics such as the history and foundations of Artificial Intelligence, intelligent agents, problem-solving techniques, search algorithms, heuristic methods, minimax and alpha-beta pruning, knowledge representation, logical reasoning, planning systems, uncertain knowledge, probabilistic reasoning, Bayes’ theorem, Bayesian networks, and machine learning fundamentals. Real-world examples, diagrams, and problem-solving models are included to help readers understand how AI systems operate in practical environments. Special emphasis is given to balancing theoretical understanding with modern applications across healthcare, finance, robotics, education, transportation, cybersecurity, and automation. The text also introduces readers to emerging domains such as Generative AI, Explainable AI, deep learning, and ethical AI, making it highly relevant for present-day learners and professionals. Written in accessible language with organized chapter progression, Artificial Intelligence is ideal for undergraduate and postgraduate students, faculty members, self-learners, and professionals seeking career advancement in intelligent technologies. This book is a valuable reference for university courses, competitive exams, certification programs, research preparation, and skill development in AI-driven industries. It empowers readers with analytical thinking, computational intelligence, and the technical knowledge required for the future of smart systems and digital innovation.

The abstract, and the depositor's additional notes after it as a second LangString when the source has a field for them.

• First

• Mr. Dasaradha Arangi (Aditya Institute of Technology and Management) — author
• Dr. M. V. B. Chandrasekhar (Aditya Institute of Technology and Management) — author
• Dr. B. Kiran Kumar (Aditya Institute of Technology and Management) — author
• Mr. K. V. Chandra Sekhar (Aditya Institute of Technology and Management) — author
• Mr. Pradeep Kumar Mahapatro (Aditya Institute of Technology and Management) — author
• Mr. Chodi Sai Kishore (Aditya Institute of Technology and Management) — author

Role, entity and date per declared contribution. A role outside LOM's vocabulary is reported in the entry's description instead.

• URI: tag:aim-pro.eu,2026:oer/53143f33bf21/record

The identifier of this metadata record — the resource's own, with /record after it, because the record is a description of the resource and not the resource.

• AIM-PRO WP3 OER harvester (Zenodo) — creator

Who generated this record and when — a statement about the record, not about the resource.

• LOMv1.0
• aimpro-oer-profile/1

LOMv1.0, and the profile this was built against.

• en

• application/pdf
• text/markdown

One value per form held: the original as the source published it, and the Markdown this engine extracted.

• 3014869

Bytes. The original's, because the resource is the file and not our conversion of it.

• https://zenodo.org/records/19796687

Where the source serves it.

• narrative text

Only from a declaration that maps onto LOM's vocabulary. A file format is not a declaration.

• no — free to use

No: the licence gate refuses anything it cannot establish open reuse terms for, before the bytes are requested.

• yes — attribution required (CC-BY-4.0)

Yes unless the licence reserves nothing — attribution is a restriction. The conditions after the dash are the licence gate's reading; the export carries LOM's bare term.

• CC-BY-4.0 · https://creativecommons.org/licenses/by/4.0/. Conditions: adaptation permitted, attribution required.

The SPDX id, the licence URI and the conditions. LOM has no element for any of the three, so this is where they survive.

• isversionof
• hasformat

• URI: https://doi.org/10.5281/zenodo.19796686
• all versions of this deposit
• Markdown extracted from the original by metadata-stub

The container a file was found inside, and the Markdown extracted from the original. What a lab requires, and the lab a component belongs to, are inferred and stand apart.