Friends, i really thought if Artificial Intelligence 1 is really difficult to fiqure out. obviously, it is composed of complex English definitions which are tricky to gram or understand.
It’s quite appealing since we managed to do the “tricky” subject. Hope my you are not laughing. Back to serious business now:
Here are some major definitions i came across while revising. Optimization problem – problem where the path to the goal is irrelevant. State Space Landscape – evaluation of agent function with state.
Simulated annealing- Slightly improving on hill climbing by introducing randomness and combination. Knowledge base Agent – agent whose knowledge is not specific. – Knowledge based agent can combine general knowledge with the current percepts meaning can reason out. – kb has capacity to infer hidden space. Key Words are:
1. Knowldge representation.
3. Learning new knowledge. Entailment:- is the the idea that a sentense or assertion follows logically from another sentence.
Completeness – algorithm is complete if it can derive any sentence entailed.
Horn clause: is a disjunction of literals of which at most one is positive.
Propositional Logic – lacks the expressive power to describe an environment. Advantage of the fast order logic: it has better expressive power than the proportional logic.
Ontological commitment:- is what the logic assumes about the nature of reality.
Arity – number of arguments in a relation. Atomic Sentences: is a predicate symbol depending on the clarity sentences, constructed using logical connectiveness.