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In This Issue
Curcumin: A Multifaceted Phytochemical with Therapeutic Potential and Pharmacological Applications
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Morphometric Analysis of Gostani River Basin Using Remote Sensing & GIS
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An Analytical Study of the Surge in Cyber Crimes in Digital India with Special reference to Social Media
Anjum Ansari
Reimagining Library Services through AI-Driven Strategies for Sustainable Academic Libraries
Mr. Sachin Manohar Patil
COMPARATIVE ANALYSIS OF SAARC, BRICS, G20, G7, QUAD, EU, AND SCO: DRIVING ECONOMIC RECOVERY IN THE GLOBAL SOUTH ECONOMY POST-COVID-19
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Framing the Climate Crisis: Media Bias in California Wildfire 2025 Reporting
Dr. Debastuti Dasgupta
Agentic AI Systems: Architecture, Capabilities, and Implications for Autonomous Decision-Making
by gauri sale , Dr. Sonal Ayare
International Journal of Technology & Emerging Research 2025 , 1 (7) , 78–86
10.64823/ijter.2507010Abstract
This paper explores **Agentic Artificial Intelligence (AI)** systems that exhibit autonomous, goal-directed behavior and independent decision-making. It discusses their **architectural foundations**, including reasoning engines, memory systems, and planning frameworks that enable self-directed actions. The study highlights key **capabilities** such as multi-step reasoning, tool use, and adaptive learning across various domains. It also examines **challenges** related to safety, alignment, and ethical deployment. Overall, the paper emphasizes the transformative potential of agentic AI and the need for responsible governance in its development.
Keywords: Agentic Artificial Intelligence, Autonomous Systems, Machine Learning
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