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prologstill we can take our card game from the previous lecture like a case study for the implementation of a logic-based expert system so there the
logic-based expert systems expert systems are agents that are programmed to make decisions just about real world situations are place together by
search mechanisms in prologhere we can needs this simple prolog program to describe how prolog searches aspresidentx - firstnamex georgedubya
declarative programming languageswe notice that declarative programming languages can have some better compensation over procedural ones actually it
prolog programming language probably programming languages are procedural than the programmer specifies exactly the right instructions algorithms
grounding a variable - first-order logicthe perform of making ourselves clear about a variable by introducing an exists or a forall sign is called
variables and quantifiersnow we have to diagnose now that if we wanted to say that there is a meal at the red lion which costs only 3 pounds is well
constants - first-order logicconstants are things that is cannot be changed like as england black and barbara so then they stand for one thing only
connectives - first-order logicwe can string predicates all together in a sentence by using connectives into the same way to conduct that we did for
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