What is reasoning?
Reasoning can be defined as the logical process of drawing conclusions, making predictions, or constructing solutions based on existing knowledge. In Artificial Intelligence, reasoning plays a crucial role in understanding how the human brain thinks, draws conclusions, and solves problems. Through reasoning, AI systems can simulate human-like decision-making and problem-solving capabilities.
Types of Reasoning
Most important type of reasoning: Probabilistic Reasoning
What is Planning?
Planning refers to the process of deciding a sequence of actions that a system must take to achieve a specific goal. Just like humans plan their daily tasks with a goal in mind, AI systems use planning algorithms to break down a problem into smaller, manageable tasks and determine the best course of action. Crucial for:
- Thinking ahead
- Adapting to changes
- Acting autonomously
The Kalman Filter
Types of Planning
Importance of Planning in AI
- Efficiency and optimization
- Adaptability
- Autonomy
- Decision making
Challenges in AI Planning
- Computational complexity
- Handling uncertainty
- Scalability
Applications of AI Planning
- Robotics: Planning allows robots to move efficiently in environments, avoid obstacles, and perform tasks autonomously. For example, a warehouse robot can plan its path to pick up items without collisions.
- Healthcare: AI planning systems are used in treatment planning, where algorithms suggest optimal therapies for patients based on various factors like medical history, current health, and probability of success.
- Autonomous Vehicles: Self-driving cars use planning to navigate roads, make turns, stop at traffic signals, and avoid collisions with pedestrians or other vehicles.
- Gaming: In video games, AI uses planning to simulate intelligent behaviour in non-player characters (NPCs). NPCs can plan their strategies in real-time, providing more challenging and unpredictable gameplay.
- Supply Chain Management: Planning in AI optimizes logistics, inventory, and transportation, helping businesses improve efficiency and reduce costs. AI can plan the most cost-effective routes for shipping goods or the best times to restock inventory.