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syntax and semanticspropositional logic is prohibited in its expressiveness so just to represent true and false facts for the world by a type of
approach to reasoning - first-order logicthe formal approach to reasoning has bigger return and disadvantages in generally we notice if a computer
automated reasoning - first-order logicthe topic known as automated reasoning in aiconcentrates mostly on deductive reasoning here new facts are
presumably for heightened tension - first-order logicas an aside its worth pointing out that - presumably for heightened tension - in most
types of reasoning - first-order logicatleast five types of reasoning can be acknowledged herebullfirstly why and how do we will think for the killer
first-order logictheres reasoning and then theres reasoningas humans we have always prided ourselves on our capability to think things by to reason
alpha-beta pruningthus we can prune via the alpha-beta method it makes means to perform a depth-first search requiring the minimax principle just
general principles of pruningthe general principles are such that1 given a node n that can be chosen by player one thus if there is another node x
pruning - artificial intelligencerecall which pruning a search space means deciding that there certain branches to should not be explored moreover if
example of the horizon problemit is also worth bearing in mind the horizon problem however a game-playing agent cannot see much far satisfactory into
main problems with evaluation functionssuperlatively evaluation functions should be quick calculates wherever is chance they take a long time to
evaluation functionsevaluation functions calculate approximately the score which can be prove of guaranteed if a particular world state is reached
depth in cutoff searchthe depth is chosen in advance to certify in which the agent does not capture much more long to choose a move however if it has
cutoff search to require a mini and max search in a game on stage situation is in which all we have is just do that programme our agent to look at
minimax searchalways notice there that the process above was in order for player one to choose his and her first move for that the whole entire
game playingwe have now dispensed with the necessary background material for ai problem solving techniques and we just considered to looking at
representation scheme in aibullits fairly trouble-free to represent knowledge in this way it allows us to be expressive enough to represent largely
multiple valued logicsmultiple valued logics where altered types of truth value such as unknown are may be allowed these have some of the particular
fuzzy logicin the logics we are here described above what we have been concerned with truth whether propositions and sentences are true moreover with
higher order predicate logic in the very first order predicate logic we are only allowed to quantify over objects if we are considered to allow
first order predicate logic this is a more expressive logic because it is mostly builds on propositional logic by allowing us to needs as constants
propositional logicthis is a fairly restrictive logic that allows us to be write sentences about notpropositions - statements about the world -
logical representationsif all human beings spoke the same language there would be a much more less misunderstanding in the world the problem
knowledge representationto recap we now have some characterizations of ai that when an ai problem arises you will be able to put all into context
assessing heuristic searchesgiven a particular problem you want to build an agent to solve so there may be more than one way of justifying it as a