What do you mean by term “Agents” in Artificial Intelligence? Classify the various types of agentsBriefly describe the term “Truth Maintainance System –TMS”.
Agents in Artificial Intelligence:
In the realm of Artificial Intelligence (AI), an "agent" refers to an autonomous entity capable of perceiving its environment, processing information, and taking actions to achieve specific goals. Agents can be designed to operate in a wide range of environments, from physical spaces to virtual domains, and they play a crucial role in AI systems that aim to mimic intelligent behavior. The concept of agents is fundamental to understanding AI as it encompasses a diverse set of entities, each with its own characteristics and functionalities.
Types of Agents:
1. Simple Reflex Agents:
- These are basic agents that take actions based solely on the current percept, without considering the history of past percepts.
2. Model-Based Reflex Agents:
- These agents maintain an internal state to keep track of the history of percepts, enabling them to make more informed decisions.
3. Goal-Based Agents:
- Goal-based agents have predefined goals and take actions that bring them closer to achieving those goals. They often _______ __________ ____ ______ _______ _______ ______ _____ ______ __________ ___ __________.
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