Knowledge$-$Based Agent:

Your program will act as a knowledge$-$based agent, making intelligent guesses based on logical

reasoning. The agent will use logical connectives, implication, and entailment to narrow down the

possibilities and make informed decisions.

Implementation Steps:

Define the set of possible colors and the initial knowledge base.

Generate a random seeret sequence for the agent to guess.

Implement the agent's strategy for making guesses based on logical reasoning.

Provide feedback to the agent after each guess and update its knowledge base.

Continue the guessing process until the correct sequence is deduced or the maximum

number of attempts is reached.