COS3751 - Definitions and explanation based answers
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Course
COS3751 -
Institution
COS3751 -
Fully observable environment - answer-Agent's sensors give it access to the complete state of the environment at each point in time
Partially observable environment - answer-An environment might be partially observable because of noisy and inaccurate sensors or because parts of the state are sim...
COS3751 - Definitions and explanation based
answers
Fully observable environment - answer-Agent's sensors give it access to the complete
state of the environment at each point in time
Partially observable environment - answer-An environment might be partially observable
because of noisy and inaccurate sensors or because parts of the state are simply missing
from the sensor data
Deterministic - answer-If the next state of environments is completely determined by the
current state and the action executed by the agent
Stochastic - answer-If the next state of environments is NOT completely determined by
the current state and the action executed by the agent
Discrete environment - answer-An environment is said to be discrete if its state-space is
finite and, for each state, there is only finitely many precepts to be perceived and only
finitely many actions to choose from. The game of chess is an example of a discrete
environment
Continuous environment - answer-A continuous environment has infinitely many distinct
sates, infinitely many precepts and infinitely many actions to choose from at any state.
Taxi driving is an example of a continuous environment
Agent function - answer-The agent function maps precept sequence to action
Agent program - answer-The agent program implements the agent
function
State-space - answer-complete set of possible states that an agent or system can be in
at any given time.
Rational agent - answer-is one that acts so as to achieve the best outcome or, when
there is uncertainty, the best expected outcome
Dynamic environment - answer-If the environment can change while an agent is
deliberating
Static environment - answer-The environment can not change while an agent is
deliberating
Semi-dynamic environment - answer-If the environment does not change but the agents
performance score does
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