Welcome to Volume 4, Issue 1 of the Journal of Artificial Intelligence Research (JAIR). This edition delves into diverse facets of artificial intelligence, presenting a collection of seminal papers at the forefront of AI research. "Explainable AI" navigates the challenges and opportunities in developing transparent decision-making systems, shedding light on the imperative of explainability in AI. Concurrently, "Knowledge Representation and Reasoning in AI" delves into various approaches to knowledge representation and reasoning, illuminating pathways towards enhanced cognitive capabilities in AI systems. Additionally, "Multi Agent Systems" explores coordination and cooperation mechanisms in multi-agent systems, offering insights into achieving collective goals efficiently through distributed intelligence. Lastly, "Natural Language Understanding in AI" investigates techniques and algorithms for natural language understanding, advancing the frontiers of human-computer interaction and intelligent communication. Join us as we delve into the complexities and advancements of artificial intelligence, shaping the future of intelligent systems and decision-making processes.
Journal Name: Journal of Artificial Intelligence Research (JAIR)
ISSN: 2395-6720
Impact Factor: 4.6 (By ResearchBib)
h-index: 15 (By Google Scholar)
i10-index: 22 (By Google Scholar)
Journal Initials: JAIR
Publication Mode: Digital
Frequency: Semi-Annual (2 Issues a year)
Launch Year: 2021
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English
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The Journal of Artificial Intelligence Research (JAIR) is a peer-reviewed, open-access journal that publishes original research articles, reviews, and short communications in all areas of science and technology. The journal welcomes submissions from all researchers, regardless of their geographic location or institutional affiliation.
Journal of Artificial Intelligence Research (JAIR)
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