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Questions and Answers
In a declarative approach to building an agent, what does it mean to 'Tell it what it needs to know'?
In a declarative approach to building an agent, what does it mean to 'Tell it what it needs to know'?
- Instruct the agent about specific domain-independent algorithms
- Inform the agent about the implementation level details
- Communicate the state and actions to the agent
- Provide the agent with a set of sentences in a formal language (correct)
How are knowledge bases and inference engines related in the context of building a knowledge-based agent?
How are knowledge bases and inference engines related in the context of building a knowledge-based agent?
- The knowledge base and inference engine are synonymous and have no distinct relationship
- The knowledge base contains declarative information, while the inference engine manipulates data structures (correct)
- The inference engine manages time-based information, while knowledge bases handle perceptual data
- The inference engine represents domain-specific content, while knowledge bases handle domain-independent algorithms
What is the primary purpose of backward chaining as discussed in the text?
What is the primary purpose of backward chaining as discussed in the text?
- To construct any model of KB through sound inference
- To prove the query q by checking known premises or proving by backward chaining (correct)
- To avoid repeated work and loops
- To reach a fixed point where no new atomic sentences are derived
In the context of the wumpus world, what does KB represent?
In the context of the wumpus world, what does KB represent?
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What does α represent in the context of inference in the wumpus world?
What does α represent in the context of inference in the wumpus world?
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Study Notes
Building Knowledge-Based Agents
- In a declarative approach, 'Tell it what it needs to know' means specifying the knowledge an agent needs to perform its task, rather than how to perform the task.
Knowledge Bases and Inference Engines
- Knowledge bases and inference engines are related in that a knowledge base stores the domain-specific knowledge, while an inference engine uses this knowledge to derive new information or make decisions.
Backward Chaining
- The primary purpose of backward chaining is to find the antecedents (i.e., the premises) that support a given conclusion.
Wumpus World Representation
- In the context of the wumpus world, KB represents the knowledge base that stores the agent's knowledge about the environment.
Inference in Wumpus World
- α (alpha) represents the confidence or probability of a statement being true in the wumpus world.
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