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CS551J Knowledge Representation and Reasoning
创建日期：2024-08-13 15:55:17
标签： CS551J
Knowledge Representation and Reasoning

Knowledge Representation and Reasoning (CS551J)

Assessment 2

The assessment is worth 25% of the overall marks for the module. Each item indicates the number

of marks it is worth, clearly broken down in their specification. Students will provide their answers via

MyAberdeen and receive feedback via MyAberdeen.

Learning outcomes associated with this assessment:

? Understand the logical foundations and applications of Knowledge Representation and Reasoning.

? Students will be able to identify the knowledge base (or lack thereof) of an AI application.

Instructions to students:

? Your solution should be one single PDF file that you should upload to MyAberdeen by the

established time/deadline. Any other format will result in 0 marks. Do not email us your

solution.

? If you submit a scanned/handwritten PDF and we cannot understand your calligraphy, you will

get 0 marks.

? Your file should be named “CS551J-ASMNT2-YourSurname-YourName-YourIDNo.pdf”. For

instance, “CS551J-ASMNT2-Smith-John-999999.pdf”1

, where 999999 is your student ID.

? I encourage you to use Latex to typeset your answer to this assessment. There are many tutorials

of Latex online, it is not our responsibility to teach you this.

? Some guide suggestions about typesetting symbolic logic:

Word:

? https://www.youtube.com/watch?v=hJw1NhyJt10

? https://www.youtube.com/watch?v=Sfj-liMtFpU

Latex:

? https://www.yumpu.com/en/document/view/39275121/symbolic-logic-and-latex-david-w-agler

? https://www.geeksforgeeks.org/logic-notations-in-latex/

About this assessment: You must never share it with anybody in or outside the course, even

after you complete the course. Please do not distribute or post solutions to any of the projects and

notebooks.

Academic Dishonesty: This is an advanced course, therefore we expect full professionalism and

ethical conduct. You must work on this project individually. You are free to discuss high-level design

issues with the people in your class, but every aspect of your actual formalisation/code/answer must

be entirely your own work. Furthermore, there can be no textual similarities in the reports generated

by each person. Plagiarism, no matter the degree, will result in forfeiture of the entire grade of this

assessment. Plagiarism is a serious issue and we take academic misconduct very seriously. Sophisticated

plagiarism detection software will be used to check your code against other submissions in the class as

well as resources available on the web for logical redundancy. Please do not let us down and risk our

trust. If you do, we will pursue the strongest consequences available to us according to the guidelines

provided by the university. For more information, see the Code of Practice on Student Discipline. Use

of automated services to generate submissions for assessment will be treated as academic

misconduct and pursued under the University misconduct procedures.

Late Submissions: Deadline extensions will not be granted unless under serious extenuating circumstances that can be corroborated with some credible proof. Extensions can only be asked before

the deadline, no extensions will be granted after the deadline. We reserve the right to deny extensions

on a case by case basis. Please familiarise yourself with the University’s guidance on late submission.

1Do not put the quotation marks in your filename

CS551J – Knowledge Representation and Reasoning

Procedural Control of Reasoning

1. This question concern generalizing Horn derivations to incorporate negation as failure. For this

question, assume that a KB consists of a list of rules of the form (q ← a1, ..., an) where n ≥ 0,

q is an atom, and each ai

is either of the form p or not(p), where p is an atom. The q in this

case is called the conclusion of the rule, and the ai make up the antecedent of the rule. The

forward-chaining procedure presented in class for Horn clause satisfiability can be extended to

handle negation as failure by marking atoms incrementally with either a Y (when they are known

to be solved), or with an N (when they are known to be unsolvable), using the following procedure:

For any unmarked atom q,

? if there is a rule (q ← a1, ..., an) ∈ KB , where all the positive ai are marked Y and all the

negative a i are marked N, then mark q with Y

? if for every rule (q ← a1, ..., an) ∈ KB, some positive ai

is marked N or some negative ai

is

marked Y , then mark q with N.

Note that the first case trivially applies for rules where n = 0, and that the second case trivially

applies if there are no rules with q as the conclusion.

(a) (3 marks) Show how the procedure would label the atoms in the following KB:

a ←

b ← a

c ← b

d ← not(c)

e ← c, g

f ← d, e

f ← not(b), g

g ← not(h), not(f)

(b) (2 marks) Give an example of a KB where this procedure fails to label an atom as either Y

or N, but where the atom is intuitively Y , according to negation as failure and explain why.

Assessment 2 2

CS551J – Knowledge Representation and Reasoning

Total Marks 1: 5 marks

Rules in Production Systems

2. Production systems are a general computational framework, but one based originally on the observation that human experts appear to reason from “rules of thumb” in carrying out tasks. There

are many advantages claimed for production systems when applied to practical complex problems.

Among the key advantages, the most cited ones are ”modularity”, ”fine-grained control” and

”transparency.” Explain each one of these concepts regarding production systems.

(a) (2 marks) Modularity:

(b) (1 mark) Fine-grained control:

(c) (2 marks) Transparency:

Total Marks 2: 5 marks

Assessment 2 3

CS551J – Knowledge Representation and Reasoning

Object-Oriented Representation

3. Consider the Trip scenario we saw during our course for Object-Oriented Representation. Consider

that we have the general definition of a Trip as follows:

(T rip

<: F irstStep T ravelStep >

<: T raveler P erson >

<: BeginDate Date >

<: EndDate Date >

<: T otalCost P rice >

) Given this definition, solve the following tasks.

(a) (2 marks) Define an instance of Trip called Assessement2Trip, done by John Doe. This trip

will travel through Scotland and starts with a travel stept1, which is starting from Aberdeen

to Edinburgh. The whole trip should last three months, starting in 08/05/2024, as John

Doe and will cost in average 100$ a day. Create the instance only using the necessary

information.

(b) (3 marks) Now define the generic definition of a TravelStep, which t1 is an instance of.

TravelStep shoud be a TripPart (which does not need to be defined). Consider the information

that was provided in the previous task and provide ONLY necessary information. Also, add

that John Doe will stay 5 days in Aberdeen and 5 days in Edinburgh. Then, using the

generic definition, define t1 as an instance.

Assessment 2 4

CS551J – Knowledge Representation and Reasoning

Total Marks 3: 5 marks

Assessment 2 5

CS551J – Knowledge Representation and Reasoning

Structured Descriptions

4. (5 marks) In the context of Description Languages, write the following natural language description

as description logic language (DL). Consider that a Progressive company is a company with

at least seven directors, and all of whose managers are women with Ph.D.s degrees and whose

minimum salary is $24.00/hour. Complete the following DL:

(P rogressiveCompany .= [...]

Total Marks 4: 5 marks

Assessment 2 6

CS551J – Knowledge Representation and Reasoning

Inheritance

5. (5 marks) Considering the Inheritance, build an inheritance network given the following assertions:

? George is a Student.

? Ernest is a Student and an Employee.

? Students can be Academics.

? Those who study are not Illiterate.

? Employees are Taxpayer and Salaried.

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FN1024 MATH0094 MANG 6554 ECOS3003 ELEC6252 C2511C PHY328 EC1060 ECON32202 COMP4002-E1 MATH3063 EFIMM0124 QBUS2310 ECON4411 FUNDAMENTALS ACCT20001 18YX RPM COMP 2711 QBUS6600 BUSS5221 ST3189 FIT1047 MAT344 EGB375 MATH60013 MATH96011 COMP3557 MAST20029 ECM159 EAE1011 ENSCEN 105 SECTION A STA 141C SOSE 2022 PAM006 COMP0048 M40007 ISOM2500 CMPE 142 A06472 MCC150 ACST 8083 GEOG6087 ECON920 FINM7008 ENVENG 4110 COMPSCI 361 ENGRCEE 21 PHYS 1112 ACF2100 ECMM108 COMPS267F MAT00050M MAST30025 CSIT970 MSCI 224 INT202 PUBL0054 MSDM5004 BMAN 21020 BMAN21020 MGMT1002 MATH11150 LAWS7023 ACTL30002 CIVL3340 MATH1002 ECON 8069 COMPSCI 351 IBUS7302 STAT4528 CHEM1101 STAT3925 BUSN 7008 Comp 3120 ECOS2040 SWEN90010 ENGN6528 ECM158 ECON20022 COMP6452 Calculation CITS1401 S1889112 BUS 351 ACTL30008 FIT2091 ECON6002 IBUS6020 PHI 001 ECON30290 MATH7501 ECON10004 MFIN7017 ISYS90043 LAWS7012 ECON30025 COMP30023 COMM1190 ECOM20001 GSBS6009 STAT 337 EMET8002 ECOM90001 ECOM30001 FINC 2012 BUSINESS ENGCV512 ECO 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