The use of an agent to represent objects, IOTs or people is very useful. Closer, but not the same as classic optimization models. The book and comments here are good introductions. Technical.
Free book - Artificial Intelligence: Foundations of Computational Agents Posted by ajit jaokar in DSC
Comments: 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 its 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. ... "
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