Conference
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Aug 2026
From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents
A unified, taxonomy-driven, and deployment-oriented survey of agentic AI systems, synthesizing recent advances through a modular reference architecture and a four-dimensional taxonomy that characterizes agents along the axes of autonomy, tool use, collaboration, and safety–governance is presented.
Sparsh Bajoria, Shreyanshu Ranjan, Adhitya M et al.
· Cognitive Computation · 0 citations
Preprint
Aug 2026
Harness Engineering for Predictable Agentic Systems: An Empirical Study of Deterministic Execution Constraints
It is argued harness engineering is a distinct, effective discipline for agent reliability, but its cost is model-dependent and must be measured, not assumed.
SA Dhage
· 1 citation
· ⚡1
Preprint
Aug 2026
AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation Software
This work deploys AutoMOOSE as a agentic software, complementing the prior work which focused on development of the agentic tool, and describes its software framework and architecture through Use Case and logical views of the 1+5 architectural-views model.
Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan
· 0 citations
Jul 2026
Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution
This work formalizes minimum-sufficient execution and the Agent Cognitive Redundancy Ratio (ACRR), and proposes E3 (Estimate, Execute, Expand): the agent estimates an initial operating point, executes a minimum viable path, and expands scope only when verification fails.
J. Yin, Xinyu Feng
· arXiv.org · 1 citation
Preprint
Aug 2026
MADE: Belief-Driven Dual-Agent Coordination for Autonomous Model Deployment
This work introduces Model Automated Deployment Engine (MADE), a dual-agent coordination system that iteratively constructs and validates the deployment artifacts, updates its deployment belief based on execution feedback, and revisits invalid upstream artifacts until the model is successfully served as a ready-to-call...
Yicheng Liu, Bolin Zhang, Weiran Liu et al.
· 0 citations
Open access
Aug 2026
Tool-Augmented Language Agents with Iterative Self-Critique for Complex Task Planning
The research details a comprehensive methodological framework, formalizing the probabilistic decision-making and critique generation processes and indicates that integrating reflective cognition paradigms with modular toolsets is essential for deploying autonomous language agents in high-stakes, real-world applications...
Mabel Kwok
· International journal of inf... · 0 citations