AI Agent Fundamentals

Study core AI-agent concepts with self-paced flashcards and quizzes. Progress is stored only in this browser.

Learning Categories

What this covers

Every question in the deck, grouped by topic. Answers are revealed card by card in the flashcards above, so you can see the ground you will cover before you start.

Core Concepts

Fundamental concepts of AI agents and their components

What is an AI Agent?
What are the key components of an AI Agent?
What is the difference between a Reactive Agent and a Deliberative Agent?
What is the Perception-Action Loop?
What is Agent Autonomy?

Agent Architectures

Different architectural patterns for building AI agents

What is the BDI (Belief-Desire-Intention) Architecture?
What is a Subsumption Architecture?
What is a Hybrid Agent Architecture?
What is the SOAR Cognitive Architecture?

Perception & Sensing

How agents perceive and understand their environment

What is Sensor Fusion in AI Agents?
What is the difference between Active and Passive Perception?
What is Perceptual Aliasing?

Planning & Reasoning

How agents make decisions and plan actions

What is the difference between Classical and Contingency Planning?
What is Means-Ends Analysis?
What is Hierarchical Task Network (HTN) Planning?

Multi-Agent Systems

Coordination and interaction between multiple agents

What is Agent Communication Language (ACL)?
What is the Contract Net Protocol?
What is Stigmergy in Multi-Agent Systems?

Learning & Adaptation

How agents learn and adapt over time

What is Reinforcement Learning in AI Agents?
What is Transfer Learning for Agents?
What is Online vs Offline Learning for Agents?

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