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Table Of Contents
Building Agentic AI Systems
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The ability to store and manipulate information is fundamental for any intelligent agent. Knowledge representation provides the mechanisms for encoding an agent’s understanding of its environment into formats amenable to reasoning and decision-making processes. It is the most basic way to enable an intelligent agent to build a model of its surroundings.
Knowledge representation can be formally defined as the method of structuring and organizing data in such a way that an agent can effectively utilize that information for tasks such as drawing inferences, solving problems, and determining a course of action. There are several well-established approaches to knowledge representation, each with its own strengths and ideal applications, which we will discuss next.
Semantic networks provide one of the most intuitive and flexible approaches for representing knowledge within intelligent agents. At their core,...