There
are many AI dictionaries available, with resources that range from
web-based glossaries to comprehensive encyclopedias. Some Artificial
Intelligence dictionaries are:
1. "International
Dictionary of Artificial Intelligence" by William Raynor - This
dictionary provides concise definitions of AI terms, concepts, and
techniques, along with references for further reading.
2. "The MIT
Encyclopedia of the Cognitive Sciences" edited by Robert A. Wilson
and Frank C. Keil - This encyclopedia covers a wide range of topics
related to cognitive science, including AI and its related fields such
as machine learning, natural language processing, and robotics.
3. "The Cambridge
Dictionary of Artificial Intelligence" edited by Keith Frankish and
William M. Ramsey - This dictionary covers key concepts and terminology
in AI, as well as related fields such as philosophy of mind and
cognitive psychology.
4. "The AI Dictionary"
by William Sullivan - This dictionary provides clear definitions of AI
terms and concepts, along with practical examples and applications.
5. "The Oxford
Handbook of Artificial Intelligence" edited by John P. Sullins -
This handbook provides a comprehensive overview of AI, including its
history, theory, applications, and ethical considerations. It includes
contributions from leading experts in the field.
6. "Dictionary of
Machine Intelligence and Robotics" by R. C. Jain and Angela C. Jain
- This dictionary provides definitions and explanations of terms and
concepts in machine intelligence and robotics.
7. "The AI Glossary"
by Azeem Azhar - This glossary provides concise definitions of AI terms
and concepts, along with references for further reading and examples of
practical applications.
8. "The Dictionary of
Computer Science, Engineering, and Technology" edited by Phillip A.
Laplante - This dictionary covers a wide range of topics in computer
science, including AI and its related fields such as machine learning,
natural language processing, and robotics.
9. "The IEEE Standard
Dictionary of Electrical and Electronics Terms" edited by Jane
Radatz - This dictionary covers a wide range of technical terms in
electrical and electronics engineering, including AI and its related
fields.
10. "The Dictionary of
Artificial Intelligence and Robotics" by Shigeo Kaneda and
Yoshihiko Nakamura - This dictionary provides definitions and
explanations of terms and concepts in AI and robotics, as well as their
practical applications.
11. "AI and Expert
Systems: A Comprehensive Guide" by Cornelius T. Leondes - This
guide provides definitions and explanations of terms and concepts in AI
and expert systems, as well as their applications in various fields.
12. "The Encyclopedia
of Artificial Intelligence" edited by Stuart C. Shapiro - This
encyclopedia covers a wide range of topics in AI, including its
history, theory, applications, and social and ethical implications.
13. "The Handbook of
Artificial Intelligence" edited by Avron Barr and Edward A.
Feigenbaum - This handbook provides a comprehensive overview of AI,
including its history, theory, and practical applications.
14. "The Routledge
Handbook of Philosophy of AI" edited by Michael Rovatsos and
Francesca Rossi - This handbook provides a comprehensive overview of
the philosophical issues related to AI, including ethics, epistemology,
and metaphysics.
15. "The Dictionary of
Artificial Intelligence in Medicine" edited by David Bell and Erik
Jakobsen - This dictionary provides definitions and explanations of
terms and concepts related to AI in medicine, including medical
decision-making, diagnosis, and treatment.
16. "The AI Primer: An
Introduction to Machine Learning, Natural Language Processing, and
Cognitive Computing" by Eberhard Hechler, et al. - This book
provides a comprehensive introduction to AI concepts, including machine
learning, natural language processing, and cognitive computing.
17. "The Dictionary of
Robotics and Artificial Intelligence" by Philip Laramee - This
dictionary provides definitions of terms and concepts related to
robotics and AI, including robotics applications, sensors, and control
systems.
18. "The Encyclopedia
of Machine Learning and Data Mining" edited by Claude Sammut and
Geoffrey I. Webb - This encyclopedia covers a wide range of topics in
machine learning and data mining, including supervised and unsupervised
learning algorithms, clustering, and decision trees.
19. "The Cambridge
Handbook of Artificial Intelligence" edited by Keith Frankish and
William M. Ramsey - This handbook provides a comprehensive overview of
AI, including its history, theory, and practical applications, as well
as ethical and social considerations.
20. "The Dictionary of
Cognitive Science: Neuroscience, Psychology, Artificial Intelligence,
Linguistics, and Philosophy" edited by Olivier Houdé and Daniel
Kayser - This dictionary covers a wide range of topics in cognitive
science, including AI and its related fields such as neuroscience,
psychology, linguistics, and philosophy.
21. "The AI Dictionary"
by Verdict AI: This online resource provides clear definitions of AI
terms and concepts, along with practical examples and applications.
22. "The Dictionary of
AI and Robotics" by Robotics Online: This online resource provides
definitions and explanations of terms and concepts related to AI and
robotics, as well as their practical applications.
23. "AI Dictionary"
by InfoWorld: This web-based dictionary provides definitions and
explanations of AI terms and concepts, as well as their applications in
various fields such as natural language processing and machine learning.
24. "Dictionary of
Artificial Intelligence" by Dataversity: This online resource
provides concise definitions of AI terms, concepts, and techniques,
along with references for further reading and examples of practical
applications.
25. "The AI Dictionary"
by AI Singapore: This web-based dictionary provides definitions and
explanations of AI terms and concepts, as well as their practical
applications in various fields such as healthcare and finance.
AI
dictionaries (online or in print) are valuable resources for anyone who
wants to deepen their understanding of AI terminology and concepts.
They can help individuals navigate the complex landscape of AI, and
stay up-to-date on the latest technologies and applications.
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