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Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision making, and more AIPython code.

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Exposes current policy myths around entrepreneurs and development in Africa, demonstrating how to foster genuinely successful SMEs in low-income countries.

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

This textbook presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.