Start Discovering Solved Questions and Your Course Assignments
TextBooks Included
Active Tutors
Asked Questions
Answered Questions
fuzzy logic - artificial intelligencein the above logic we have been concerned with truth whether propositions and sentences are true but with some
propositional logic - artificial intelligencethis is a limited logic which permit us to write sentences about propositions - statements about the
logical representationsif every human being spoke the same kind of language there would be several less misunderstanding in the world the problem
knowledge representationto recap now we have some characterizations of artificial intelligence so when an artificial intelligence problem arises
simulated annealingone way to answer the problem of local maxima and related problems like ridges and plateaux in hill climbing is to permit the
sma search-artificial intelligenceida search is good from a memory point of view actually it may be criticised for not using enough memory -
a search-artificial intelligence a search combines the best parts of uniform cost search that called the fact that its optimal and complete
greedy search-artificial intelligenceif we have a heuristic function for states as defined above then we may simply measure each state with respect
uniform path cost search-artificial intelligencea breadth first search will search the solution with the shortest path length from the first state to
heuristic search strategies-artificial intelligencein general speaking a heuristic search is one which utilizes a rule of thumb to improve an agents
iterative deepening search- artificial intelligenceso breadth first search is guaranteed to find a solution if one exists but it grape whole memory
uninformed search strategiesto be able to undertake a regular search our entire agent ought to know is the starting state the possible operators and
search strategy-artificial intelligencesoundnessyou can hear in some application domains - ie automated theorem
time and space tradeoffs in search-artificial intelligencein practice you need to stop your agent at some stage if it has not searched a solution by
completeness in search - artificial intelligenceits also importance trying to calculate the number of solutions to a problem and the density of those
specifying search problemsin our agent terms a problem to be solved is a particular task where the agent starts with the environment in a given state
search in problem solvingif artificial intelligence i may inform the other sciences about anything it is about problem solving and in specific how to
environmentswe have seen that intelligent agents might take into account certain information when choosing a rational
goals of autonomous rational agents artificial intelligenceone possible way to improve an agents performance is to enable it to have some kind of
reflex agent-artificial intelligenceif an agent decides and executes an action in response to a sensor input without consultation of its world then
knowledge of the environmentwe must distinguish between knowledge an agent receives through its sensors and knowledge about the world from which the
internal structure of agentswe have looked at agents in terms of their external influences and behaviors they take input from the environment and
acting rationallyal capone was finally convicted for tax evasion were the police acting rationally to answer this we must first look at how the
example of autonomous rational agents-artificial intelligencethe procedure of waste water treatmentafter the level of pollutants in waste water is
autonomous rational agentsin many cases it is not accurate to talk about a particular program or a particular robot as the combination of and