What is Agentic Reasoning?
Agentic reasoning refers to the cognitive processes AI agents use to understand problems, plan solutions, and make decisions. It goes beyond simple pattern matching to genuine problem-solving.
Reasoning Frameworks
Chain-of-Thought (CoT)
Breaking down complex problems into sequential reasoning steps.
ReAct (Reasoning + Acting)
Interleaving reasoning with actions, allowing agents to gather information as they think.
Tree-of-Thought
Exploring multiple reasoning paths simultaneously to find optimal solutions.
Planning Capabilities
- Goal decomposition
- Action sequencing
- Resource allocation
- Contingency planning
Decision Making
AI agents evaluate options based on:
- Expected outcomes
- Confidence levels
- Risk assessment
- Alignment with goals
Enterprise Applications
Agentic reasoning enables AI to handle complex, multi-step business processes that require judgment and adaptation.