Unification algorithm - artificial intelligence, Computer Engineering

Assignment Help:

Unification Algorithm - Artificial intelligence:

To merge two statements, we should get a substitution which forms the two sentences similar. Remember that we write V/T to signify that we have substituted term T for  variable  V  (read  the  "/"  sign  as  "is  substituted  by").  The purpose  of this algorithm will be to construct a substitution (a set of pairs V/T) for a provided pair of statements. So, for example, the output for the pair of       statements:

Knows (john)

Knows (john, marry)

Will be: {X/mary}. However, for the two sentences on the top involving jack, the method must fail, as there was no method to unify the sentences.

To explain the algorithm, we have to specify some methods it calls internally.

  • The function is a variable(x) checks whether x is a variable.
  • The function is a compound(x) checks if x is a compound expression: else a predicate, a method or a connective which includes subparts. The subparts of a procedure or predicate are the arguments. The subparts of a

Connectives are the things it joins. We write rags(x) for the subparts of complex expression x. Note that args(x) outputs a list: the list of subparts. Also, we write op(x) to signify the symbol of the complex operator (predicate name, method name or connective symbol).

  • The function is a list(x) checks whether x is a list. We write head(L) for the very first term in a list L and tail(L) for the sub list comprising all the another terms besides the top. Hence the top of [2,3,5,7,11] is 2 and the tail is [3,5,7,11]. This terminology is ordinary in Prolog.

It's very easy to clarify the unification algorithm as a recursive way which is capable to call itself. As this is occurring, a set, mu, is passed around the many parts of the algorithm, gathering substitutions as it goes. The method has two basic parts:

Unify internal(x, y, mu)

which returns a substitution which forms sentence x look exactly as sentence y, given an already presented set of substitutions mu (although mu may be empty). This function checks many properties of x and y and calls either itself again or the

unify variable routine,  as  given  below.  Note that the  order  of  the  if- statements is important, and if a breakdown is reported at any stage, the complete function fails. If none of the cases is right for the input, then the algorithm fails to search a unifying set of substitutions.

Unify variable (var, x, mu)

which gets back a substitution provided a variable var, a sentence x and an already present set of substitutions mu. This function also includes a set of cases which results other routines to run if the case is right of the input. Again, the order of the cases is essential. Here, if none of the cases is right of the input, a substitution is got back.

The algorithm is as follows:

unify(x,y) = unify_internal(x,y,{}) unify_internal(x,y,mu) ---------------------- Cases

1. if (mu=failure) then return failure

2. if (x=y) then return mu.

3. if (isa_variable(x)) then return unify_variable(x,y,mu)

4. if (isa_variable(y)) then return unify_variable(y,x,mu)

5. if (isa_compound(x) and isa_compound(y)) then return unify_internal(args(x),args(y),unify_internal(op(x),op(y),mu))

6. if (isa_list(x) and isa_list(y)) then return unify_internal(tail(x),tail(y),unify_internal(head(x),head(y),mu))

7. return failure

unify_variable(var,x,mu) ------------------------ Cases

1. if (a substitution var/val is in mu) then return unify_internal(val,x,mu)

2. if (a substitution x/val is in mu) then return unify_internal(var,val,mu)

3. if (var occurs anywhere in x) then return failure

4. add var/x to mu and return


Related Discussions:- Unification algorithm - artificial intelligence

Explain speedup performance and issues in pipelining, Speedup First, we...

Speedup First, we take the speedup factor which is we see how much speed up performance we achieve by pipelining. First we take ideal case for measuring the speedup. Let n b

What is reduction, What is reduction?  A reduction is a way of changing...

What is reduction?  A reduction is a way of changing one problem into another in such a way that a solution to the second problem can be used to explain the first problem.

Define the working of flip flops, Define the working of Flip Flops? Fli...

Define the working of Flip Flops? Flip flop is the basic unit of storage this is used to store one bit of information. Flip-flops are the synchronous bistable devices. The term

What is building and running mpi programs, Q. What is Building and Running ...

Q. What is Building and Running MPI Programs? MPI parallel programs are written using conventional languages such as FORTRAN and C. One or more header files like 'mpi.h' may be

Multi-threaded processors, The use of distributed shared memory in parallel...

The use of distributed shared memory in parallel computer architecture however the use of distributed shared memory has the problem of accessing the remote memory that results in l

Determine the adding operations of describe function, Adding Operations of ...

Adding Operations of describe function  Whenever take a look at the operations in OOPs you find queries about attributes or associations in object model (such as student.name)

Example to show a single digit, Q. Example to show a single digit ? Dis...

Q. Example to show a single digit ? Displaying a single digit (0 to 9) Presume that a value 5 is stored in BL register then to output BL as ASCII value add character ‘0' to

Explain about the object identity of object oriented, Explain about the Obj...

Explain about the Object Identity of object oriented analysis Object identity is a feature of an object that differentiates the objects from all other objects in the applicati

What is a single stage network, In a single stage network: (A) ...

In a single stage network: (A)  There is no redundancy (B)  There is redundancy (C)  Alternative cross points are available (D)  Alt

Granularity-concept of parallel execution and concurrent , Granularity ...

Granularity Granularity refers to the quantity of computation done in parallel relative to the dimension of the entire program. In parallel computing, granularity is a qualitat

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd