AI Agents Explained – How Autonomy, Collaboration, and Self-Improvement Drive Intelligent Systems
1. What Are AI Agents? Definition: Software entities that perceive their environment and act autonomously. Example: Customer support AI agent resolving queries. Key Features: Autonomous (minimal human input) Goal-driven (optimize defined objectives) Perceptive (gather info from sensors, inputs, APIs) Adaptive (learn from changing environments) Collaborative (work with humans or other agents) SEO Insert: AI agents go beyond automation—their goal is autonomy and collaboration in multi-agent environments. 2. How AI Agents Work: The Core Mechanisms Persona – role, goals, and communication style. Memory – short-term, long-term, episodic, consensus memory. Tools – APIs, interfaces, and functions. Model – LLM as the “brain.” Transition: These mechanisms enable agents to self-improve their skills, a key source of intelligence. 3. The Goal of AI Agents: Autonomy and Collaboration in Multi-Agent Systems Why autonomy matters: reduces human dependency, increases efficiency. ...