Subscribe to DSC Newsletter

Free book - Artificial Intelligence: Foundations of Computational Agents

Free book - Artificial Intelligence: Foundations of Computational Agents

There are many excellent free books on Python – but Artificial Intelligence: Foundations of Computational Agents is about  a subject not commonly covered

I found the book useful as a introduction to Reinforcement Learning

As the title suggests, the book is about computational agents

An agent observes the world and carries out actions in the environment. The agent maintains an internal state that it updates. Also, the environment takes in actions of the agents, and in turn updates it internal state and returns the percepts. In this implementation, the state of the agent and the state of the environment are represented using standard Python variables, which are updated as the state changes.

This structure can be used to model many interesting problems and is the focus of the book. Ultimately, it leads to Reinforcement Learning.

The book structure is

Chapter 3: Searching for Solutions

Chapter 4: Reasoning with Constraints

Chapter 5: Propositions and Inference

Chapter 6: Planning with Certainty

Chapter 7: Supervised Machine Learning

Chapter 8: Reasoning Under Uncertainty

Chapter 9: Planning with Uncertainty

Chapter 10: Learning with Uncertainty

Chapter 11: Multiagent Systems

Chapter 12: Reinforcement Learning

Chapter 13: Relational Learning

The authors website also has detailed slides

I found the work exceptional so I bought the book Artificial Intelligence: Foundations of Computational Agents

But there is a free version

You can download the book – code and other resources at Artificial Intelligence: Foundations of Computational Agents

Views: 948

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Videos

  • Add Videos
  • View All

© 2020   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service