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greedy search - artificial intelligenceif we have a heuristic function for states defined as above so we can simply measure each state with respect
uniform path cost search - artificial intelligencea breadth first search will find the solution with the shortest path length from the initial state
optimality - heuristic search strategiesthe path cost of a solution is considered as the sum of the costs of the actions that led to which solution
heuristic search strategiesgenerally speaking that a heuristic search is one which have uses a rule of thumb to improve an agents performance in
iterative deepening searchso breadth first search is always guaranteed to find a solution if one exists actually it eats all the memory for the depth
advantage to depth first searchit just looks like it will be a long period it finds dan until this highlights an important drawback for depth first
depth first search - artificial intelligencedepth first search is very similar to breadth first except for that the things are added to the top of
process of breadth first searchits very useful to think of this search as the evolution of the given tree and how each string of letters of word is
breadth first searchgiven a set of operators o1 on in a breadth first search every time a new state is reached an action for each operator on
different search strategies- artificial intelligenceto help us think about the different search strategies we use two analogies firstly we suppose
uninformed search strategiesto be able to undertake an unaware search there is really important that the entire agent needs to know is the primary
soundness - artificial intelligenceyou may see in some application domains-for example automated theorem proving - that your search is sound and
period and space tradeoffs - artificial intelligencein practice you are going to stop your agent for long term using in searching goal at some stage
researching strategy - artificial intelligenceif our search and researching strategy and swot of it is surety to find all types of hints such the
electing neil the response for this is of course in this case we considered the point of the search or researching is to find an artifact - a
general considerations for research -artificial intelligenceif we can specify the initial state the operators or a consumer and the goal check for a
initial considerations in problem solvingthree initial considerations in problem solving for easiestas described in russell and norvig initial
specifying research problemsin our agent terminology or in technique history a problem to be solved is a specific and justified manner where the
search in problem solvingif artificial intelligence can inform that the other science about anything it is about problem solving and in particular
continuous or discrete - artificial intelligencethe behaviour of the coming data in from the environment will change how the agent should be
static or dynamic - artificial intelligencean environment is static if it doesnt change while an agents program is making the decision about how to
episodes - artificial intelligenceif an agents current choice of action not based on its past reactions then the environment is known as episodic in
conclusion - artificial intelligence if we can determine what the exactly state of the world will be after an agents action so we can say the
convenience of environments -artificial intelligencein some cases some aspects of an environment which should be taken into account in decisions
environmentswe have seen that an agents intelligent should take into account certain information when it choose a rational action including