Knowledge Tree
Agentic AI
Also known as: agentic AI services, Agentic AI systems, agentic I
Facts (18)
Sources
Building Better Agentic Systems with Neuro-Symbolic AI cutter.com Dec 10, 2025 6 facts
claimAgentic AI systems are designed to operate in the real world with minimal human oversight, performing tasks such as booking airline flights, writing code for software projects, ordering supplies for manufacturing supply chains, and managing financial portfolios.
claimAgentic AI systems require a hybrid neuro-symbolic approach because neural networks alone may not provide the high level of accuracy and accountability necessary for complex real-world interactions.
claimAgentic AI development requires architectures that combine statistical learning with transparent reasoning to enable agents to act autonomously while remaining accountable.
claimNeuro-symbolic AI addresses the need for reliability and accountability in agentic AI by combining the adaptability of neural networks with the structured reasoning of symbolic systems, allowing agents to interpret complex inputs while acting consistently within rules and constraints.
claimAgentic AI developers currently utilize large language models (LLMs) powered by neural networks, paired with orchestration layers such as tool integrations, APIs, and feedback mechanisms.
procedureTo mitigate hallucinations in agentic AI, a hybrid neuro-symbolic solution uses the neural component to interpret user intent, while the symbolic component acts as a guardrail by validating outputs against structured logic and databases.
Cybersecurity Trends and Predictions 2025 From Industry Insiders itprotoday.com 3 facts
claimAs organizations integrate agentic AI into core business processes, allowing AI to make and act on autonomous business decisions, there will be an increase in public liability and accountability events resulting from poor AI decisions.
claimThreat attackers will exploit unsecured agentic AI services to harvest data and credentials, and will also utilize AI agents to automate and accelerate their own malicious attacks.
claimIn 2025, organizations will see an increased adoption of 'agentic' AI services, which are capable of carrying out tasks autonomously and accessing data from multiple sources and online services.
Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org Feb 16, 2025 3 facts
claimAgentic AI systems leveraging Large Language Models (LLMs) enable autonomous decision-making and task execution by functioning independently, interacting with environments, coordinating with other agents, and adapting to dynamic situations without human intervention.
claimThe growing autonomy of agentic AI systems underscores the importance of Explainable AI (XAI) to ensure transparency and trust.
claimMixture-of-Experts (MoE) architectures enhance agentic AI systems by integrating specialized sub-models into multi-agent frameworks to optimize task-specific performance and computational efficiency.
Defense Tech Trends for 2026: Innovation in Action - NSTXL nstxl.org 2 facts
claimWhen paired with Other Transaction Authorities (OTAs), generative AI helps rapidly create and refine technical solutions, while agentic AI enables continuous execution and adaptation to shorten development timelines and reduce risk.
referenceAgentic AI in defense technology development autonomously plans, makes decisions, and takes actions across workflows, such as coordinating experiments, optimizing test plans, or managing iterative development cycles.
Efficient Knowledge Graph Construction and Retrieval from ... - arXiv arxiv.org Aug 7, 2025 1 fact
referenceRajat Khanda published 'Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm' as an arXiv preprint in 2024.
Automating hallucination detection with chain-of-thought reasoning amazon.science 1 fact
claimAmazon researchers are continuing to develop responsible AI by exploring reference-free hallucination detection, dynamic few-shot prompting techniques tailored to specific use cases, and the incorporation of agentic AI frameworks.
Self-awareness, self-regulation, and self-transcendence (S-ART) frontiersin.org 1 fact
claimThe Experiential Phenomenological Self (EPS) has been referred to by various terms including the "minimal self" (Gallagher, 2000), "agentic I" (James, 1892), and the "knower" or "core-self" (Damasio, 2010), all of which imply the sense of being the immediate subject of experience in the present and taking a first-person perspective without reflection or evaluation.
GovSCH: An Open-Source Schema for Transforming Governance ... newamerica.org Oct 28, 2025 1 fact
referenceAman Sardana, Swaminathan Sethuraman, and Priya Dharshini Kalyanasundaram, “Compliance‑as‑Code 2.0: Orchestrating Regulatory Operations with Agentic AI,” Artificial Intelligence General Science 5, no. 1 (2024): 546–563.