Abstract
In real world, knowledge plays a significant role in exhibiting intelligent behavior by artificial intelligence (AI) agents. In AI, an agent can act accurately if it has past experience related to input or have some knowledge of input. In terms of machines, all the things done by humans are termed as knowledge representation and reasoning (KRR). KRR is a segment of AI that deals with thinking of AI agents and how it contributes to agents’ intelligent behavior. This chapter undertakes a basic overview of knowledge representation and how it is helpful in demonstrating intelligent behavior in AI agents, different types of knowledge, and a relation between intelligence and knowledge. This chapter also provides a detailed overview of a life cycle of knowledge in AI, basic requirements for a knowledge representation (KR) system, and different techniques and challenging issues of knowledge representation.
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