arti
Stuart Russell & Peter Norvig
„Artificial Intelligence:
A Modern Approach”
1st edition
Uzdevumu brošūra
Brošūrā apkopoti uzdevumi no pirmā Rasela un Norviga grāmatas izdevuma (1995.g.). Uzdevumi ir oriģinālvalodā, saglabājot grāmatā lietoto uzdevumu un attēlu numerāciju. Brošūrā ir pasvītrotas un ar treknrakstu izceltas norādes uz tām grāmatas daļām, kuras brošūrā nav iekļautas.
Nr.
Uzdevums
Punktu skaits
Intelligent Agents
2.4
While driving, which is the best policy?
a)Always put your directional blinker on before turning
b)Never use your blinker
c) Look in your mirrors and use your blinker only if you observe a car that can observe you.
What kind of reasoning did you need to arrive at this policy (logical, goal-based, or utility-based)? What kind of agent design is necessary to carry out the policy (reflex, goal-based, or utility-based)?
1
2.5.
Uzdevums jāizpilda ar datoru.
Implement a performance-measuring environment simulator for a vacuum-cleaner world. This world can be described as follows:
Percepts: Each vacuum-cleaner agent gets a three-element percept vector on each turn. The first element, a touch sensor should be a 1 if the machine has bumped into something and a 0 otherwise. The second comes from a photo sensor under the machine, which emits a 1 if there is dirt there and a 0 otherwise. The third comes from an infrared sensor, which emits a 1 when the agent is in its home location and a 0 otherwise.
Actions: There are five actions available: go forward, turn right by 90 degrees, turn left by 90 degrees, suck up dirt and turn off.
Goals: The goal for each agent is to clean up and go home. To be precise, the performance measure will be 100 points for each piece of dirt vacuumed up, minus 1 point for each action taken and minus 1000 points if it is not in the home location when it turns itself off.
Environment: The environment consists
„Artificial Intelligence:
A Modern Approach”
1st edition
Uzdevumu brošūra
Brošūrā apkopoti uzdevumi no pirmā Rasela un Norviga grāmatas izdevuma (1995.g.). Uzdevumi ir oriģinālvalodā, saglabājot grāmatā lietoto uzdevumu un attēlu numerāciju. Brošūrā ir pasvītrotas un ar treknrakstu izceltas norādes uz tām grāmatas daļām, kuras brošūrā nav iekļautas.
Nr.
Uzdevums
Punktu skaits
Intelligent Agents
2.4
While driving, which is the best policy?
a)Always put your directional blinker on before turning
b)Never use your blinker
c) Look in your mirrors and use your blinker only if you observe a car that can observe you.
What kind of reasoning did you need to arrive at this policy (logical, goal-based, or utility-based)? What kind of agent design is necessary to carry out the policy (reflex, goal-based, or utility-based)?
1
2.5.
Uzdevums jāizpilda ar datoru.
Implement a performance-measuring environment simulator for a vacuum-cleaner world. This world can be described as follows:
Percepts: Each vacuum-cleaner agent gets a three-element percept vector on each turn. The first element, a touch sensor should be a 1 if the machine has bumped into something and a 0 otherwise. The second comes from a photo sensor under the machine, which emits a 1 if there is dirt there and a 0 otherwise. The third comes from an infrared sensor, which emits a 1 when the agent is in its home location and a 0 otherwise.
Actions: There are five actions available: go forward, turn right by 90 degrees, turn left by 90 degrees, suck up dirt and turn off.
Goals: The goal for each agent is to clean up and go home. To be precise, the performance measure will be 100 points for each piece of dirt vacuumed up, minus 1 point for each action taken and minus 1000 points if it is not in the home location when it turns itself off.
Environment: The environment consists