AI-module 1

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Across
  1. 5. maximizes expected performance0
  2. 9. describes what the agent does in all circumstances
  3. 11. evaluates the environment sequence
  4. 14. It gathers information from its environment using sensors (e.g., cameras, microphones)
  5. 15. include humans, robots, softbots (software agents)
Down
  1. 1. Agents which maintain an internal state to handle partially observable environments.
  2. 2. It operates independently, making decisions without human intervention
  3. 3. Agents which respond directly to stimuli based on predefined rules
  4. 4. It can improve its performance by learning from previous actions and adapting to new situations
  5. 6. Agents which choose actions based on a utility function to maximize performance or satisfaction.
  6. 7. Agents which improve over time by learning from experience and feedback
  7. 8. interact with environments
  8. 10. Agents which act to achieve specific goals by planning ahead
  9. 12. It interacts with the environment to achieve goals through actuators (e.g., motors, displays)
  10. 13. descriptions define task environments