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A world of intelligent agents - Coggle Diagram
A world of intelligent agents
AI
Definition
Perceptions, actions to fulfill objectives
Machines demonstrating intelligence
Cognitive functions: learning, problem-solving
Algorithms
Crucial for AI functionality
Processes for problem-solving tasks
Uses of AI (Retail)
Purchasing Decisions
: Automated assistants
Customer Relationship
: Personalized homepage, two-way conversation
Systems Development
: Supply chain, pricing, promotions
Product Development
: Customer data for future designs
Customer Experience
: Tailored in-store/digital displays
Uses of AI (Other sectors)
Cybersecurity
: Threat detection, data sorting
Agriculture
: Crop monitoring, climate prediction
Transportation
: Self-driving cars, route planning
Medicine
: Data analysis for illness prevention, personalized treatment
Human Resources
: Job matching, candidate evaluation
Financial Investment
: High-speed trading, AI-managed portfolios
Machine learning
Reinforcement Learning
: Maximizing rewards through experience (e.g., investment management, strategy games)
Self-Learning
: No human guidance, emotion-based decision-making
Unsupervised Learning
: Pattern/structure identification (e.g., customer segmentation)
Deep Learning
: Artificial neural networks (e.g., language translation, medical image analysis)
Supervised Learning
: Training data + human feedback (e.g., speech recognition)
Robotic
Definition
Machines replicating human actions
Types: Human-operated vs. autonomous
Uses
Medical
: Robotic surgery
Home
: Robotic vacuum cleaners
Manufacturing
: Precision tasks (e.g., welding)
Quality Control
: AI-based defect detection
Ethics
Issues
Ultimate control
Unemployment
Unintended consequences
Income distribution
Security
Influencing behaviour
Bias
Humane treatment of AI
Mistakes
Ethical framework
Customer/stakeholder feedback
Bias awareness
Integrating ethics into product development
Transparency
Definition of AI ethics