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AUTOMATED SHORT ANSWER GRADER USING FRIENDSHIP GRAPHScsandit
The paper proposes a method to assess short answer written by student using friendship matrix,
representation of friendship graph. The Short Answer is a type of answer which is based on
facts. These answers are quite different from long answers and Multiple Choice Question
(MCQ) type answers. The friendship graph is a graph which is based on friendship condition
i.e. the nodes have only one common neighbor. Friendship matrix is the matrix form of the
friendship graph. The student answer is stored in a friendship matrix and the teacher answer is
stored in another friendship matrix and both the matrices are compared. Based on the number
of errors encountered from student answer an error marks is calculated and that number is
subtracted from full marks to get student grade.
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AUTOMATED SHORT ANSWER GRADER USING FRIENDSHIP GRAPHScsandit
The paper proposes a method to assess short answer written by student using friendship matrix,
representation of friendship graph. The Short Answer is a type of answer which is based on
facts. These answers are quite different from long answers and Multiple Choice Question
(MCQ) type answers. The friendship graph is a graph which is based on friendship condition
i.e. the nodes have only one common neighbor. Friendship matrix is the matrix form of the
friendship graph. The student answer is stored in a friendship matrix and the teacher answer is
stored in another friendship matrix and both the matrices are compared. Based on the number
of errors encountered from student answer an error marks is calculated and that number is
subtracted from full marks to get student grade.
A Novel Approach for Rule Based Translation of English to Marathiaciijournal
This paper presents a design for rule-based machine translation system for English to Marathi language pair. The machine translation system will take input script as English sentence and parse with the help of Stanford parser. The Stanford parser will be used for main purposes on the source side processing, in the machine translation system. English to Marathi Bilingual dictionary is going to be created. The system will take the parsed output and separate the source text word by word and searches for their corresponding target words in the bilingual dictionary. The hand coded rules are written for Marathi inflections and also reordering rules are there. After applying the reordering rules, English sentence will be syntactically reordered to suit Marathi language
prerequisites for learning AI - basic of computer knowledge
programming languages in AI - python ,r,lisp,prolog
mathematical knowledge - linear algebra,probability distribution,statistics,vector,calculus,matrix,
algorithm - step by step method of solving problem
machine learning algorithm - supervised ,unsupervised ,reinforced algorithm
Cleveree: an artificially intelligent web service for Jacob voice chatbotTELKOMNIKA JOURNAL
Jacob is a voice chatbot that use Wit.ai to get the context of the question and give an answer based on that context. However, Jacob has no variation in answer and could not recognize the context well if it has not been learned previously by the Wit.ai. Thus, this paper proposes two features of artificial intelligence (AI) built as a web service: the paraphrase of answers using the Stacked Residual LSTM model and the question summarization using Cosine Similarity with pre-trained Word2Vec and TextRank algorithm. These two features are novel designs that are tailored to Jacob, this AI module is called Cleveree. The evaluation of Cleveree is carried out using the technology acceptance model (TAM) method and interview with Jacob admins. The results show that 79.17% of respondents strongly agree that both features are useful and 72.57% of respondents strongly agree that both features are easy to use.
Design and implementation of optical character recognition using template mat...eSAT Journals
Abstract
Optical character recognition (OCR) is an efficient way of converting scanned image into machine code which can further edit. There are variety of methods have been implemented in the field of character recognition. This paper proposes Optical character recognition by using Template Matching. The templates formed, having variety of fonts and size .In this proposed system, Image pre-processing, Feature extraction and classification algorithms have been implemented so as to build an excellent character recognition technique for different scripts .Result of this approach is also discussed in this paper. This system is implemented in Matlab.
Keywords- OCR, Feature Extraction, Classification
OCR-THE 3 LAYERED APPROACH FOR CLASSIFICATION AND IDENTIFICATION OF TELUGU HA...csandit
Optical Character recognition is the method of digitalization of hand and type written or
printed text into machine-encoded form and is superfluity of the various applications of envision
of human’s life. In present human life OCR has been successfully using in finance, legal,
banking, health care and home need appliances. India is a multi cultural, literature and
traditional scripted country. Telugu is the southern Indian language, it is a syllabic language,
symbol script represents a complete syllable and formed with the conjunct mixed consonants in
their representation. Recognition of mixed conjunct consonants is critical than the normal
consonants, because of their variation in written strokes, conjunct maxing with pre and post
level of consonants. This paper proposes the layered approach methodology to recognize the
characters, conjunct consonants, mixed- conjunct consonants and expressed the efficient
classification of the hand written and printed conjunct consonants. This paper implements the
Advanced Fuzzy Logic system controller to take the text in the form of written or printed,
collected the text images from the scanned file, digital camera, Processing the Image with
Examine the high intensity of images based on the quality ration, Extract the image characters
depends on the quality then check the character orientation and alignment then to check the
character thickness, base and print ration. The input image characters can classify into the two
ways, first way represents the normal consonants and the second way represents conjunct
consonants. Digitalized image text divided into three layers, the middle layer represents normal
consonants and the top and bottom layer represents mixed conjunct consonants. Here
recognition process starts from middle layer, and then it continues to check the top and bottom
layers. The recognition process treat as conjunct consonants when it can detect any symbolic
characters in top and bottom layers of present base character otherwise treats as normal
consonants. The post processing technique applied to all three layered characters. Post
processing of the image: concentrated on the image text readability and compatibility, if the
readability is not process then repeat the process again. In this recognition process includes
slant correction, thinning, normalization, segmentation, feature extraction and classification. In
the process of development of the algorithm the pre-processing, segmentation, character
recognition and post-processing modules were discussed. The main objectives to the
development of this paper are: To develop the classification, identification of deference
prototyping for written and printed consonants, conjunct consonants and symbols based on 3
layered approaches with different measurable area by using fuzzy logic and to determine
suitable features for handwritten character recognition.
Application of fuzzy logic in order to plan and create software for convertin...journalBEEI
The challenge of software in the field of converting sound to text is that some words have different meanings. In these situations, the functions of each one is distinguished by the use of fuzzy logic and division of the working part of the work. In this regard, the words must first be classified according to the specialized discipline. In the second place, the principles of writing should be maintained. In this regard, the points and commands and the alignment of the sentence are all items that should be considered in the software. The next item is the volume and speed of word processing and the lack of restrictions in the number of languages used. But the time problem is very important. In this regard, the use of existing codes and the optimization and remedy of the problems is a suitable method.In this research, some issues including security and maintenance of software proprietary rights, and the speed of converting sound to text and reducing noise and optimal performance of software to convert audio to text based on software method and the principles of fuzzy logic and neural network were investigated. Results showed improvement algorithm Analytical and results outcomes.
OCR-THE 3 LAYERED APPROACH FOR DECISION MAKING STATE AND IDENTIFICATION OF TE...ijaia
Optical Character recognition is the method of digitalization of hand and type written or printed text into
machine-encoded form and is superfluity of the various applications of envision of human’s life. In present
human life OCR has been successfully using in finance, legal, banking, health care and home need
appliances. India is a multi cultural, literature and traditional scripted country. Telugu is the southern
Indian language, it is a syllabic language, symbol script represents a complete syllable and formed with the
conjunct mixed consonants in their representation. Recognition of mixed conjunct consonants is critical
than the normal consonants, because of their variation in written strokes, conjunct maxing with pre and
post level of consonants. This paper proposes the layered approach methodology to recognize the
characters, conjunct consonants, mixed- conjunct consonants and expressed the efficient classification of
the hand written and printed conjunct consonants. This paper implements the Advanced Fuzzy Logic system
controller to take the text in the form of written or printed, collected the text images from the scanned file,
digital camera, Processing the Image with Examine the high intensity of images based on the quality
ration, Extract the image characters depends on the quality then check the character orientation and
alignment then to check the character thickness, base and print ration. The input image characters can
classify into the two ways, first way represents the normal consonants and the second way represents
conjunct consonants. Digitalized image text divided into three layers, the middle layer represents normal
consonants and the top and bottom layer represents mixed conjunct consonants. Here recognition process
starts from middle layer, and then it continues to check the top and bottom layers. The recognition process
treat as conjunct consonants when it can detect any symbolic characters in top and bottom layers of
present base character otherwise treats as normal consonants. The post processing technique applied to all
three layered characters. Post processing of the image: concentrated on the image text readability and
compatibility, if the readability is not process then repeat the process again. In this recognition process
includes slant correction, thinning, normalization, segmentation, feature extraction and classification. In
the process of development of the algorithm the pre-processing, segmentation, character recognition and
post-processing modules were discussed. The main objectives to the development of this paper are: To
develop the classification, identification of deference prototyping for written and printed consonants,
conjunct consonants and symbols based on 3 layered approaches with different measurable area by using
fuzzy logic and to determine suitable features for handwritten character recognition.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
A Novel Approach for Rule Based Translation of English to Marathiaciijournal
This paper presents a design for rule-based machine translation system for English to Marathi language pair. The machine translation system will take input script as English sentence and parse with the help of Stanford parser. The Stanford parser will be used for main purposes on the source side processing, in the machine translation system. English to Marathi Bilingual dictionary is going to be created. The system will take the parsed output and separate the source text word by word and searches for their corresponding target words in the bilingual dictionary. The hand coded rules are written for Marathi inflections and also reordering rules are there. After applying the reordering rules, English sentence will be syntactically reordered to suit Marathi language
prerequisites for learning AI - basic of computer knowledge
programming languages in AI - python ,r,lisp,prolog
mathematical knowledge - linear algebra,probability distribution,statistics,vector,calculus,matrix,
algorithm - step by step method of solving problem
machine learning algorithm - supervised ,unsupervised ,reinforced algorithm
Cleveree: an artificially intelligent web service for Jacob voice chatbotTELKOMNIKA JOURNAL
Jacob is a voice chatbot that use Wit.ai to get the context of the question and give an answer based on that context. However, Jacob has no variation in answer and could not recognize the context well if it has not been learned previously by the Wit.ai. Thus, this paper proposes two features of artificial intelligence (AI) built as a web service: the paraphrase of answers using the Stacked Residual LSTM model and the question summarization using Cosine Similarity with pre-trained Word2Vec and TextRank algorithm. These two features are novel designs that are tailored to Jacob, this AI module is called Cleveree. The evaluation of Cleveree is carried out using the technology acceptance model (TAM) method and interview with Jacob admins. The results show that 79.17% of respondents strongly agree that both features are useful and 72.57% of respondents strongly agree that both features are easy to use.
Design and implementation of optical character recognition using template mat...eSAT Journals
Abstract
Optical character recognition (OCR) is an efficient way of converting scanned image into machine code which can further edit. There are variety of methods have been implemented in the field of character recognition. This paper proposes Optical character recognition by using Template Matching. The templates formed, having variety of fonts and size .In this proposed system, Image pre-processing, Feature extraction and classification algorithms have been implemented so as to build an excellent character recognition technique for different scripts .Result of this approach is also discussed in this paper. This system is implemented in Matlab.
Keywords- OCR, Feature Extraction, Classification
OCR-THE 3 LAYERED APPROACH FOR CLASSIFICATION AND IDENTIFICATION OF TELUGU HA...csandit
Optical Character recognition is the method of digitalization of hand and type written or
printed text into machine-encoded form and is superfluity of the various applications of envision
of human’s life. In present human life OCR has been successfully using in finance, legal,
banking, health care and home need appliances. India is a multi cultural, literature and
traditional scripted country. Telugu is the southern Indian language, it is a syllabic language,
symbol script represents a complete syllable and formed with the conjunct mixed consonants in
their representation. Recognition of mixed conjunct consonants is critical than the normal
consonants, because of their variation in written strokes, conjunct maxing with pre and post
level of consonants. This paper proposes the layered approach methodology to recognize the
characters, conjunct consonants, mixed- conjunct consonants and expressed the efficient
classification of the hand written and printed conjunct consonants. This paper implements the
Advanced Fuzzy Logic system controller to take the text in the form of written or printed,
collected the text images from the scanned file, digital camera, Processing the Image with
Examine the high intensity of images based on the quality ration, Extract the image characters
depends on the quality then check the character orientation and alignment then to check the
character thickness, base and print ration. The input image characters can classify into the two
ways, first way represents the normal consonants and the second way represents conjunct
consonants. Digitalized image text divided into three layers, the middle layer represents normal
consonants and the top and bottom layer represents mixed conjunct consonants. Here
recognition process starts from middle layer, and then it continues to check the top and bottom
layers. The recognition process treat as conjunct consonants when it can detect any symbolic
characters in top and bottom layers of present base character otherwise treats as normal
consonants. The post processing technique applied to all three layered characters. Post
processing of the image: concentrated on the image text readability and compatibility, if the
readability is not process then repeat the process again. In this recognition process includes
slant correction, thinning, normalization, segmentation, feature extraction and classification. In
the process of development of the algorithm the pre-processing, segmentation, character
recognition and post-processing modules were discussed. The main objectives to the
development of this paper are: To develop the classification, identification of deference
prototyping for written and printed consonants, conjunct consonants and symbols based on 3
layered approaches with different measurable area by using fuzzy logic and to determine
suitable features for handwritten character recognition.
Application of fuzzy logic in order to plan and create software for convertin...journalBEEI
The challenge of software in the field of converting sound to text is that some words have different meanings. In these situations, the functions of each one is distinguished by the use of fuzzy logic and division of the working part of the work. In this regard, the words must first be classified according to the specialized discipline. In the second place, the principles of writing should be maintained. In this regard, the points and commands and the alignment of the sentence are all items that should be considered in the software. The next item is the volume and speed of word processing and the lack of restrictions in the number of languages used. But the time problem is very important. In this regard, the use of existing codes and the optimization and remedy of the problems is a suitable method.In this research, some issues including security and maintenance of software proprietary rights, and the speed of converting sound to text and reducing noise and optimal performance of software to convert audio to text based on software method and the principles of fuzzy logic and neural network were investigated. Results showed improvement algorithm Analytical and results outcomes.
OCR-THE 3 LAYERED APPROACH FOR DECISION MAKING STATE AND IDENTIFICATION OF TE...ijaia
Optical Character recognition is the method of digitalization of hand and type written or printed text into
machine-encoded form and is superfluity of the various applications of envision of human’s life. In present
human life OCR has been successfully using in finance, legal, banking, health care and home need
appliances. India is a multi cultural, literature and traditional scripted country. Telugu is the southern
Indian language, it is a syllabic language, symbol script represents a complete syllable and formed with the
conjunct mixed consonants in their representation. Recognition of mixed conjunct consonants is critical
than the normal consonants, because of their variation in written strokes, conjunct maxing with pre and
post level of consonants. This paper proposes the layered approach methodology to recognize the
characters, conjunct consonants, mixed- conjunct consonants and expressed the efficient classification of
the hand written and printed conjunct consonants. This paper implements the Advanced Fuzzy Logic system
controller to take the text in the form of written or printed, collected the text images from the scanned file,
digital camera, Processing the Image with Examine the high intensity of images based on the quality
ration, Extract the image characters depends on the quality then check the character orientation and
alignment then to check the character thickness, base and print ration. The input image characters can
classify into the two ways, first way represents the normal consonants and the second way represents
conjunct consonants. Digitalized image text divided into three layers, the middle layer represents normal
consonants and the top and bottom layer represents mixed conjunct consonants. Here recognition process
starts from middle layer, and then it continues to check the top and bottom layers. The recognition process
treat as conjunct consonants when it can detect any symbolic characters in top and bottom layers of
present base character otherwise treats as normal consonants. The post processing technique applied to all
three layered characters. Post processing of the image: concentrated on the image text readability and
compatibility, if the readability is not process then repeat the process again. In this recognition process
includes slant correction, thinning, normalization, segmentation, feature extraction and classification. In
the process of development of the algorithm the pre-processing, segmentation, character recognition and
post-processing modules were discussed. The main objectives to the development of this paper are: To
develop the classification, identification of deference prototyping for written and printed consonants,
conjunct consonants and symbols based on 3 layered approaches with different measurable area by using
fuzzy logic and to determine suitable features for handwritten character recognition.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Top 5 Artificial intelligence [AI]
Hello, today we are going to brief discussion about the top 5 Artificial intelligence.
Go through this website for mote details.Top 5 Artificial intelligence [AI] (theknowledge.cloud)
What is artificial intelligence?
Artificial Intelligence (AI) refers to the simulation of human intelligence in computers and other machines. It involves creating algorithms and systems that enable machines to perform tasks that would normally require human intelligence. AI systems aim to replicate cognitive functions such as learning, reasoning, problem-solving, perception, language understanding, and decision-making.
Here's a list of 10 influential AI technologies and areas that were making significant strides:
1. Natural Language Processing (NLP) Models.
2. Computer Vision.
3. Reinforcement Learning.
4. Generative Adversarial Networks (GANs).
5. Autonomous Vehicles.
Here we are going to discuss about the full details on the above topics.
1. Natural Language Processing (NLP) Models:
I. What are NLP Models?
NLP models are a subset of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. These models are designed to bridge the gap between human communication and computer understanding, allowing machines to process and generate text in a way that's meaningful and contextually relevant.
II. Key Components of NLP Models:
a. Tokenization: The process of breaking down text into individual units called tokens, which can be words, subwords, or characters. Tokenization is the first step in converting text into a format that computers can understand.
b. Word Embeddings: A technique that maps words or tokens into numerical vectors in a way that captures semantic relationships. Word embeddings help models understand the context and relationships between words.
c. Sequences and Context: NLP models consider the order of words in a sentence as well as the surrounding context. This allows them to understand nuances, idiomatic expressions, and various language structures.
d. Attention Mechanism: A mechanism used in transformer-based models that assigns different weights to different parts of a text sequence, allowing the model to focus on relevant information and capture long-range dependencies.
e. Transformer Architecture: A neural network architecture that has become a foundational structure for many NLP models. It uses self-attention mechanisms to process input data in parallel, capturing global context and enabling efficient training.
III. Notable NLP Models:
a. BERT (Bidirectional Encoder Representations from Transformers): BERT revolutionized NLP by pre-training a model on a massive amount of text data, allowing it to capture context from both left and right directions. This bidirectional understanding greatly improved performance on various tasks.
b. GPT (Generative Pre-trained Transformer) Series: These models, including GPT-2 and GPT-3, are designed to generate coh
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
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Mit202 data base management system(dbms)smumbahelp
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
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The Foundations of Artificial Intelligence, The History of
Artificial Intelligence, and the State of the Art. Intelligent Agents: Introduction, How Agents
should Act, Structure of Intelligent Agents, Environments. Solving Problems by Searching:
problem-solving Agents, Formulating problems, Example problems, and searching for Solutions,
Search Strategies, Avoiding Repeated States, and Constraint Satisfaction Search. Informed
Search Methods: Best-First Search, Heuristic Functions, Memory Bounded Search, and Iterative
Improvement Algorithms.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
1. Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
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(Prefer mailing. Call in emergency )
ASSIGNMENT
PROGRAM BSc IT
SEMESTER SIXTH
SUBJECT CODE & NAME BT9402, Artificial Intelligence
CREDITS 4
BK ID B1367
MARKS 60
Note: Answer all questions. Kindly note that answers for 10 marks questions should be
approximately of 400 words. Each question is followed by evaluation scheme.
Question.1. Briefly explain Attributes of Artificial Intelligence (AI).
Answer:Artificialintelligence(AI) isthe intelligence exhibited by machines. In computer science, an
ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes
actions that maximize its chance of success at an arbitrary goal. Colloquially, the term "artificial
intelligence" is likely to be applied when a machine uses cutting-edge techniques to competently
perform or mimic "cognitive" functions that we intuitively associate with human minds, such as
"learning" and "problem solving".
Several methodsof knowledge representation can be drawn upon. Two of these methods include:
1. Frame-based systems - are employed for building very powerful ESs. A frame specifies the
attributes of a complex object and frames for various object types have specified relationships.
2. Production rules- are the
Goals of AI
Question.2. Explain State Space Search. What do you mean by
production system?
2. Answer:State space search is a process used in the field of computer science, including artificial
intelligence (AI),inwhichsuccessive configurationsorstatesof aninstance are considered, with the
goal of finding a goal state with a desired property.
Problems are often
S.No Problems Techniques
1. Chess Hill climbing
2. Water Jug Best – First Search, Branch and Bound
3. 8 –
Question.3. Explain the Inheritance and Reification in semantic
networks.
Answer:Semantic nets consist of nodes, links (edges) and link labels. In the semantic network
diagram, nodes appear as circles or ellipses or rectangles to represent objects such as physical
objects,conceptsorsituations.Linksappearasarrowsto expressthe relationshipsbetweenobjects,
and linklabels specify particular relations. Relationships provide the basic structure for organizing
knowledge. The objects and relations involved
Figure: A Semantic Network
In the above figure all the objects are within ovals and
Question.4. Explain the two principal parts of an expert system.
Answer:Expertsystemisanartificial intelligence program that has expert-level knowledge about a
particular domain and knows how to use its knowledge to respond properly. Domain refers to the
area withinwhichthe taskisbeingperformed.Ideallythe expertsystemsshouldsubstitute a human
expert. Edward Feigenbaum of Stanford University has defined expert system as “an intelligent
computer program that uses knowledge and
Components of Expert Systems
3. Basic Concept of an Expert System Function: The expert
.
Question.5. Describe the factors affecting learning performance of
a system.
Answer:Meaningfulnesseffect:Highlymeaningful wordsare easiertolearnandrememberthanless
meaningful words. This is true whether meaningful is measured by
1) the number of associations the learner has for the word,
2) by frequency of the word
3) or by familiarity with the sequential order of letters,
4) or the tendency of the work to elicit clear images.
An implication is that retention will be improved to the extent the user can make meaning of the
material.
Serial positioneffects: Serial
Question.6. Briefly explain the hardware requirements for
designing a robot.
Answer:The concept of creating machines that can operate autonomously dates back to classical
times, but research into the functionality and potential uses of robots did not grow substantially
until the 20th century.Throughouthistory,ithasbeen frequently assumed that robots will one day
be able to mimic human behavior and manage tasks in a human-like fashion. Today, robotics is a
rapidly growing field, as
To correctly print Robot calculation notes, you must have a word processor supporting *.rtf (Rich
Text Format) format files, such as MS Word version 6.0 or higher, or WordPad.
The most important features of Robot include:
4. A graphic editor that can define a structure completely. You can also load .DXF format files
of the
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