Solved–Software Design Exercise #1 Grammar-Based Image Analysis– Solution

Description

1 Preface

1.1 Objectives

The objective of SDE 1 is to implement a Prolog version of what is known as the picture description language (PDF). The PDL is a grammar-base technique to extract object or region outlines from an image using geometric primitives derived from the image. This will be implemented in Prolog and involves using the Prolog LGN preprocessor. We will specify 14 predicates which must be developed as part of this assignment. I recommend you attempt development in the order in which the predicates are introduced.

This e ort is straightforward, and about 4 weeks are allocated for com-pletion. The motivation is to:

Learn the paradigm of declarative programming;

Implement a declarative (Prolog) version of an interesting algorithm; Deliver working software based upon speci cations; and

Learn Prolog.

1.2 Resources

As discussed in class, it would be foolish to attempt this SDE without care-fully exploring:

1. The text, especially:

(a) The many Prolog examples in Chapter 3;

(b) The Prolog LGN use in Chapter 5 (ignore scanner development; and

(c) Chapter 7, Sections 7.7. and 7.8 (Attribute Grammars).

2. The Prolog lectures;

3. The background provided in this document;

4. Class discussions and examples;

5. The PDL references on the Assignment page (only for perspective); and

6. The swipl website and reference manual.

1.3 Standard Remark

Please note:

1. This assignment (which counts as a quiz) tests your e ort (not mine or those of your classmates or friends). I will not debug or design your code, nor will I install software for you. You (and only you) need to do these things.

2. This is an individual e ort.

3. It is never too early to get started on this e ort.

4. We will continue to discuss this in class.

2 Preliminary Considerations

2.1 Data Structures and Representation in Prolog

2.1.1 The PDL Primitives (Terminals)

One of the most common questions which arise at this point is:

’How do I get the image-based PDL data ’into’ Prolog?’

We will encode PDL descriptions using string lists in Prolog. For example, “abcd” is a Prolog string and [“a”,”b”,”c”,”d”] is a string list. The following gure and the lecture discussion(s) should help. Here are some notes:

1. The entire extracted region outline, using the directed primitives shown, is a Prolog string list. For example, a simple square (of side dimen-sion equal to the length of primitive ’u’), is represented by the string list [“u”,”r”,”d”,”l”]. We want to be able to represent, and recognize, represent any side dimension greater than zero for all our regions.

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2. Notice we have standard starting points for every grammar class rep-resentation. This is the base or ’tail’ of the rst ’u’ (every class in this assignment contains at least on ’u’). In the gure, this is shown with a black dot. In order to accommodate a representation starting any-where in the closed region contour, we can either create a very complex set of grammar productions (each starting a some point on a region of arbitrary size), or somehow consider all starting points in the closed region. The latter is our solution.

3. Note if the contour is not closed, all class tests must fail (e.g. [“u”,”r”,”d”] fails. Also, for those who want to make this assignment even more com-plicated, we don’t allow stupid descriptions due to overwriting the path, such as [“u”,”u”,”d”,”d”,”u”].

The simplest way to get comfortable with the PDL (not the Prolog imple-mentation) is to draw the gures corresponding to the PDL string.

2.1.2 Sample Figure Classes

In Figure 1, notice a number of stings and corresponding string lists are shown. Each corresponds to a class, such as square, rectangle or triangle. Our e ort will focus on developing parsers for each of these classes in Prolog. Of course, for a parser, we need a grammar. This is part of your e ort. An attribute grammar is necessary.

3 Prototypes and Examples of Predicates to be Developed

You will design, implement, test and deliver the predicates de-scribed in the following sections. Be aware that some predicates are created using the LGN, as indicated. Also note:

1. Recall the ’/n’ in the predicate representation indicates the arity of the predicate is n. It is not part of the name but rather the Prolog convention for showing predicate name and arity.

2. Recall the +,- or ? symbol indicates the role of the argument.

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Figure 1: Sample Use of the PDL

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3. Pay special attention to the predicate naming and argument speci cations. Case matters. Since your submission will be graded by a Prolog script, if you deviate from this your tests will probably fail. The graders will not x or change anything in your submis-sion.

4. Pay attention to the le naming conventions speci ed.

5. Your implementation of all predicates is to be included in a single le named which_shape.pro in your archive.

6. You may design and use other predicates to support any of these pred-icates, but they are not (directly) graded. Of course, they must also be included in your single SDE1 Prolog le in your archive.

Note: in the speci cations shown below, a (+) designation indicates that you obtain the predicate using the LGN.

3.1 uA/3 (+)

(**

Prototypes:

uA(-Length,+String,+Leftover)

Arguments:

Note: Parses string for sequence of “u”, and, if succeeds, indicates length (number of “u”).

Really big note: You create predicate uA using the LGN. *)

Sample Use.

?- uA(L,[“u”,”u”,”u”],[]).

L=3.

?- uA(L,[“u”,”u”,”d”],[]).

false.

3.2 rA/3, dA/3 and lA/3 (+)

(**

Prototype: Same structure as uA, but unifies with strings

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of “r”,”d” and “a” respectively.

Notes: Created by LGN.

*)

Sample Use.

?- rA(W,[“r”],[]).

W=1.

?- rA(W,[“r”,”r”,”r”,”r”,”r”],[]).

W=5.

?- rA(W,[“r”,”r”,”r”,”d”,”r”],[]).

false.

3.3 sq/2 (+)

This predicate is included just to point out that without contextual con-straints (e.g., all sides of the same length), the desired class is di erent. See the examples.

(**

Prototype:

sq(+In,+Leftover)

Succeeds if In is a string list representing u^n r^m d^l l^p with string Leftover leftover.

Remark: Not really a square, just u^n r^m d^l l^p.

Sample Use.

?- sq([“u”,”r”,”d”,”l”],[]).

true .

?- sq([“u”,”u”,”d”,”l”],[]).

false.

3.4 sqA/2 (+)

(**

Prototype: sqA(+In,+Leftover)

like sq, but the length of each side must be equal.

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Sample Use.

?- sqA([“u”,”r”,”d”,”l”],[]).

true .

?- sq([“u”,”u”,”r”,”d”,”l”],[]). /* Note sqA; note difference */ true .

?- sqA([“u”,”u”,”r”,”d”,”l”],[]).

false.

?- sqA([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],[]).

false.

3.5 rctA/2 (+)

(**

Prototype: rctA(+In,+Leftover)

Like sqA, but only parallel sides must have equal length.

Sample Use.

?- rctA([“u”,”u”,”r”,”d”,”d”,”l”],[]).

true .

?- rctA([“u”,”u”,”r”,”d”,”l”,”l”],[]).

false.

?- rctA([“u”,”r”,”r”,”d”,”l”,”l”],[]).

true .

?- rctA([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],[]).

true .

?- sqA([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],[]).

false.

3.6 grect/3

This is a good time to throw in an easy problem. This predicate generates a rectangle in the PDL.

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(**

Prototype: grect(+A,+B,-C)

A is length of “u” and “d” sides;

B is length of “r” and “l” sides

C is the resulting PDL description as a top-level Prolog string list

Sample Use.

?- grect(5,2,What).

What = [“u”, “u”, “u”, “u”, “u”, “r”, “r”, “d”, “d”|…].

?- grect(5,2,What), writeq(What). [“u”,”u”,”u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”d”,”d”,”l”,”l”] What = [“u”, “u”, “u”, “u”, “u”, “r”, “r”, “d”, “d”|…].

?- grect(3,4,R).

R = [“u”, “u”, “u”, “r”, “r”, “r”, “r”, “d”, “d”|…].

?- grect(3,4,R), writeq(R).

[“u”,”u”,”u”,”r”,”r”,”r”,”r”,”d”,”d”,”d”,”l”,”l”,”l”,”l”]

R = [“u”, “u”, “u”, “r”, “r”, “r”, “r”, “d”, “d”|…].

3.7 m30A/3 and p240A/3 (+)

(**

Prototype: Just like uA,rA, etc. but unify with a contiguous substring of “m30A” or “p240A” and return length. See the examples.

Sample Use.

?- p240A(L,[“p240″,”p240”],[]).

L=2.

?- p240A(L,[“p240″,”m30”],[]).

false.

3.8 eqtriA/2 (+)

(**

Prototype: eqtriA(+In,+Leftover)

Note: Equilateral triangle recognizer, starting at the first “u”.

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Sample Use.

?- eqtriA([“u”,”u”,”m30″,”p240″],[]).

false.

?- eqtriA([“u”,”m30″,”p240″],[]).

true.

?- eqtriA([“m30″,”p240″,”u”],[]).

false.

?- eqtriA([“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″],[]).

true.

?- eqtriA([“u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”],[]).

false.

/* Notes: Last example above (draw the figure) illustrates the next challenge (cyclic shifts). T

4 Prototypes, Signatures and Examples of Higher-Level Predicates to be Developed

Here, the real work starts. These predicates have the higher-level function-ality involved for recognition of the shape class regardless of where the PDL string description starts. Recall in Section 2.1.1 we assumed it always started with the ’lowest’ “u”.

4.1 one shift/2

(**

Prototype: one_shift(+A,-R)

R is list A cyclically shifted to the left by one position.

Notes:

Sample Use.

?- one_shift([1,2,3],W).

W = [2, 3, 1].

?- one_shift([1,2,3,4,5],W).

W = [2, 3, 4, 5, 1].

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?- one_shift([1,2,3,4,5],W),one_shift(W,R).

W = [2, 3, 4, 5, 1],

R = [3, 4, 5, 1, 2].

?- one_shift([1,2,3,4,5],W),one_shift(W,R),one_shift(R,Q).

W = [2, 3, 4, 5, 1],

R = [3, 4, 5, 1, 2],

Q = [4, 5, 1, 2, 3].

4.2 all shifts/4

(**

Prototype: all_shifts(+A,-R,+L,+S)

R is all cyclic shifts of A > 0. L is the length of A.

S starts at 1.

Note: R does not contain A.

Sample Use.

?- length([1,2,3,4],L), all_shifts([1,2,3,4],R,L,1).

L=4,

R = [[2, 3, 4, 1], [3, 4, 1, 2], [4, 1, 2, 3]].

4.3 start shifts/2

(**

Prototype: start_shifts(+L,-AS)

L is the input list, AS is all cyclic shifts of L. (See example).

Note: This predicate uses all_shifts. AS still does not contain A.

Look at the example immediately preceding this one.

Sample Use.

?- start_shifts([1,2,3,4],What).

What = [[2, 3, 4, 1], [3, 4, 1, 2], [4, 1, 2, 3]].

4.4 all cases/2

(**

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Prototype: all_cases(+A,-R).

R is all shifts of A (computed via previous predicates) appended to A. This is all possible shif

Sample Use.

?- all_cases([1,2,3,4],What).

What = [[1, 2, 3, 4], [2, 3, 4, 1], [3, 4, 1, 2], [4, 1, 2, 3]].

?- all_cases([“u”,”r”,”d”,”l”],What).

What = [[“u”, “r”, “d”, “l”], [“r”, “d”, “l”, “u”],

[“d”, “l”, “u”, “r”], [“l”, “u”, “r”, “d”]].

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What).

What = [[“u”, “u”, “u”, “r”, “r”, “d”, “d”, “d”|…], [“u”, “u”, “r”,

“r”, “d”, “d”, “d”|…], [“u”, “r”, “r”, “d”, “d”, “d”|…],

[“r”, “r”, “d”, “d”, “d”|…], [“r”, “d”, “d”, “d”|…],

[“d”, “d”, “d”|…], [“d”, “d”|…], [“d”|…], […|…]|…].

/* The display is getting cluttered and truncated. Let’s write it.

Display of all cases (all cyclic shifts) */

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What), write(What). [[u,u,u,r,r,d,d,d,l,l],[u,u,r,r,d,d,d,l,l,u], [u,r,r,d,d,d,l,l,u,u],[r,r,d,d,d,l,l,u,u,u], [r,d,d,d,l,l,u,u,u,r],[d,d,d,l,l,u,u,u,r,r], [d,d,l,l,u,u,u,r,r,d],[d,l,l,u,u,u,r,r,d,d], [l,l,u,u,u,r,r,d,d,d],[l,u,u,u,r,r,d,d,d,l]]

What = [[“u”, “u”, “u”, “r”, “r”, “d”, “d”, “d”|…],

[“u”, “u”, “r”, “r”, “d”, “d”, “d”|…], [“u”, “r”, “r”, “d”, “d”, “d”|…], [“r”, “r”, “d”, “d”, “d”|…], [“r”, “d”, “d”, “d”|…], [“d”, “d”, “d”|…], [“d”, “d”|…], [“d”|…], […|…]|…].

/* Better to print the resulting list of lists as string lists (writeq) */

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What), writeq(What). [[“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”] ,[“u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”,”u”] ,[“u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”,”u”,”u”] ,[“r”,”r”,”d”,”d”,”d”,”l”,”l”,”u”,”u”,”u”] ,[“r”,”d”,”d”,”d”,”l”,”l”,”u”,”u”,”u”,”r”] ,[“d”,”d”,”d”,”l”,”l”,”u”,”u”,”u”,”r”,”r”] ,[“d”,”d”,”l”,”l”,”u”,”u”,”u”,”r”,”r”,”d”] ,[“d”,”l”,”l”,”u”,”u”,”u”,”r”,”r”,”d”,”d”] ,[“l”,”l”,”u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”]

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,[“l”,”u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”]]

What = [[“u”, “u”, “u”, “r”, “r”, “d”, “d”, “d”|…],

[“u”, “u”, “r”, “r”, “d”, “d”, “d”|…], [“u”, “r”, “r”, “d”, “d”, “d”|…], [“r”, “r”, “d”, “d”, “d”|…],

[“r”, “d”, “d”, “d”|…], [“d”, “d”, “d”|…], [“d”, “d”|…], [“d”|…], […|…]|…].

4.5 try all sqA/1

Now we consider the ultimate solution to our recognition/parsing problem: recognition of speci c gures over all shifts. We do this for each prototype class (type of gure, i.e., square, rectangle, triangle). We rely separately (outside this predicate) on the generation of all shifts. See all cases/2.

(**

Prototype: try_all_sqA(+Cases)

Given all_shifts (including none),

succeeds if some cyclic shift of Cases satisfies sqA.

Your output display should look as shown.

Sample Use.

?- all_cases([“u”,”r”,”r”,”d”,”d”,”l”,”l”,”u”],What),try_all_sqA(What).

cyclic shift: [“u”,”u”,”r”,”r”,”d”,”d”,”l”,”l”] is a square What = [[“u”, “r”, “r”, “d”, “d”, “l”, “l”, “u”], [“r”, “r”, “d”, “d”, “l”, “l”, “u”|…],

[“r”, “d”, “d”, “l”, “l”, “u”|…], [“d”, “d”, “l”, “l”, “u”|…], [“d”, “l”, “l”, “u”|…], [“l”, “l”, “u”|…], [“l”, “u”|…],

[“u”|…]].

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What),try_all_sqA(What).

false.

4.6 try all rctA/1

(**

Prototypes: try_all_rctA(+Cases), try_all_eqtriA(+Cases)

Same as try_all_sqA(+Cases), but looking for rctA and eqtriA in Cases.

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Sample Use.

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What), try_all_rctA(What).

cyclic shift: [“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”] is a rectangle

What = [[“u”, “u”, “u”, “r”, “r”, “d”, “d”, “d”|…], [“u”, “u”, “r”, “r”, “d”, “d”, “d”|…], [“u”, “r”, “r”, “d”, “d”, “d”|…], [“r”, “r”, “d”, “d”, “d”|…], [“r”, “d”, “d”, “d”|…], [“d”, “d”, “d”|…], [“d”, “d”|…], [“d”|…], […|…]|…].

?- all_cases([“d”,”d”,”d”,”l”,”l”,”u”,”u”,”u”,”r”,”r”],Cases),try_all_rctA(Cases).

cyclic shift: [“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”] is a rectangle

Cases = [[“d”, “d”, “d”, “l”, “l”, “u”, “u”, “u”|…], [“d”, “d”, “l”, “l”, “u”, “u”, “u”|…], [“d”, “l”, “l”, “u”, “u”, “u”|…], [“l”, “l”, “u”, “u”, “u”|…], [“l”, “u”, “u”, “u”|…], [“u”, “u”, “u”|…], [“u”, “u”|…], [“u”|…], […|…]|…].

?- eqtriA([“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″],[]).

true.

?- eqtriA([“u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”],[]).

false.

?- all_cases([“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″],All),writeq(All).

[[“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″]

,[“u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”]

,[“u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”]

,[“m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”]

,[“m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″]

,[“m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″]

,[“p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″]

,[“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″]

,[“p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″]]

All = [[“u”, “u”, “u”, “m30”, “m30”, “m30”, “p240”, “p240″|…], [“u”, “u”, “m30”, “m30”, “m30”, “p240”, “p240″|…], [“u”, “m30”, “m30”, “m30”, “p240”, “p240″|…], [“m30”, “m30”, “m30”, “p240”, “p240″|…], [“m30”, “m30”, “p240”, “p240″|…], [“m30”, “p240”, “p240″|…], [“p240”, “p240″|…], [“p240″|…], […|…]].

?- all_cases([“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″],Cases).

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Cases = [[“p240”, “p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “m30”, “m30”, “m30″|…], [“m30”, “m30”, “m30″|…], [“m30”, “m30″|…], [“m30″|…], […|…]].

?- all_cases([“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″],Cases),writeq(Cases). [[“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″] ,[“p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″] ,[“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″] ,[“u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”] ,[“u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”] ,[“m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”] ,[“m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″] ,[“m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″] ,[“p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″]]
Cases = [[“p240”, “p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “m30”, “m30”, “m30″|…], [“m30”, “m30”, “m30″|…], [“m30”, “m30″|…], [“m30″|…], […|…]].

?- all_cases([“u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”],Cases),writeq(Cases).

[[“u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”]

,[“m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”]

,[“m30″,”m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″]

,[“m30″,”p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″]

,[“p240″,”p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″]

,[“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″]

,[“p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″]

,[“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″]

,[“u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″,”u”]]

Cases = [[“u”, “m30”, “m30”, “m30”, “p240”, “p240”, “p240”, “u”|…],

[“m30”, “m30”, “m30”, “p240”, “p240”, “p240”, “u”|…], [“m30”, “m30”,

“p240”, “p240”, “p240”, “u”|…], [“m30”, “p240”, “p240”, “p240”,

“u”|…], [“p240”, “p240”, “p240”, “u”|…], [“p240”, “p240”, “u”|…],

[“p240”, “u”|…], [“u”|…], […|…]].

?- all_cases([“u”,”u”,”u”,”r”,”r”,”d”,”d”,”d”,”l”,”l”],What),try_all_eqtriA(What).

false.

?- all_cases([“p240″,”p240″,”u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″],What),try_all_eqtriA(What).

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cyclic shift: [“u”,”u”,”u”,”m30″,”m30″,”m30″,”p240″,”p240″,”p240″] is an equilateral triangle

What = [[“p240”, “p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“p240”, “u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “u”, “m30”, “m30”, “m30″|…], [“u”, “m30”, “m30”, “m30″|…], [“m30”, “m30”, “m30″|…], [“m30”, “m30″|…], [“m30″|…], […|…]].

?- all_cases([“p240″,”p240″,”u”,”u”,”m30″,”m30″,”m30″,”p240″],What),try_all_eqtriA(What).

false.

5 How We Will Grade Your Solution

A (Prolog) script will be used to evaluate your Prolog predicates with varying inputs and parameters. The grade is based upon a correctly working solution.

6 Prolog Use Limitations and Constructs Not Allowed

1. The entire solution must be in SWI-Prolog (Version 7.2 or newer.)

2. No use of the if..then construct anywhere in your Prolog source le. (Don’t even bother looking for it). It has the syntax:

condition -> then_clause ; else_clause

and is useful for people who want an if-then capability, but don’t un-derstand the goal-satisfaction mechanism in Prolog.

3. No use of predicates assert or retract.

If you are in doubt about anything allowable, ask and I’ll provide a ’private-letter ruling’.

The objective is to obtain pro ciency in declarative programming and Prolog, not to try to nd built-in predicates which simplify or trivialize the e ort, or to implement an imperative solution using a declarative programming paradigm.

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7 Pragmatics

Use this document as a checklist to be sure you have responded to all parts of the SDE, and have included the 3 required les (*.txt, *.pro and *.log) in you archive. Furthermore:

The simulation uses only (SWI-Prolog) code you wrote.

The nal, single zipped archive which must be submitted (to Canvas) by the deadline must be named -sde1.zip, where is your (CU) assigned user name.

The contents of this archive are:

1. A readme.txt le listing the contents of the archive and a very brief description of each le. Include ’the pledge’ here. Here’s the pledge:

Pledge:

On my honor I have neither given nor received aid on this

exam

SIGN

2. Your single SWI-Prolog source le which_shape.pro containing the required predicates.

3. A log le named sde1.log showing 3 uses of each required predi-cate. Generate and use test cases other than those shown herein.

We will attempt to consult your Prolog source le and then query Prolog with relevant goals. Most of the grade will be based upon this evaluation.

8 Final Remark: Deadlines Matter

Since multiple submissions to Canvas are allowed1, if you have not completed all predicates, you should submit a freestanding archive of your current suc-cess before the deadline. This will allow the possibility of partial credit. Do not attach any late submissions to email and send to either me or the graders. There will be a penalty for this.

1But we will only download and grade the latest (or most recent) one, and it must be submitted by the deadline.

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