CS365: Artificial Intelligence

Homework 1 - Warm up

1. Cartoon
   The cartoon describes it self (If you cannot get anything from my weird drawing, I have commented the caption in the html code. Please Have a look at the source code !.)
   
   
   
   
   
2. Task Identification
   
   
   

   Task	Deterministic/Stochastic	Episodic/Sequential	Static/Dynamic	Discrete/Continuous	Fully/Partially Observable	Single/Multi-Agent
   Playing Soccer	Stochastic	Sequential	Dynamic	Continuous	Partially Observable	Multi-Agent
   Brushing your teeth	Deterministic	Sequential	Static	Continuous	Partially Observable	Single
   Playing a tennis match	Stochastic	Sequential	Dynamic	Continuous	Partially Observable	Multi-Agent
   Practicing tennis against a wall	Deterministic	Sequential	Dynamic	Continuous	Fully Observable	Single
   Deciding what item to take at hostel lunch	Deterministic	Episodic	Static	Discrete	Fully Observable	Single

        Reasons for the identifications done for Task "Playing Soccer"

Playing Soccer is stochastic as it is a very complex real life task that it is impossible to keep track of all the unobserved aspects. Here, one can never predict what exactly the opponent is planning to do. There are numerous uncertainites associated when one kicks the ball or tackles a player ,etc. It is sequential as here the agent's experience is not divided into atomic episodes. Here, the current decision could affect all future decisions. It is a highly dynamic task as here the agent's environment can change while the agent is deliberating. The state of the environment keeps on changing continously and it cannot be divided into finite number of states, which makes it a continous task. The agent, player, is continously observing the situation and taking actions. A task environment is effectively fully observable if the sensors detect all aspects that are relevant to the choice of action. Here, we don't know what other players are thinking, where they will move next second and where the ball will be next minute. This makes it a partially observable task. It is clearly a multi agent task as there are 22 players on the field looking at the environment from their point of view and taking actions.