Here are full lecture slides on Agent communication Languages, and different types of agent communication languages, Multiagent Communication & Multiagent Communication System.
Named Entity Recognition using Hidden Markov Model (HMM)kevig
Named Entity Recognition (NER) is the subtask of Natural Language Processing (NLP) which is the branch of artificial intelligence. It has many applications mainly in machine translation, text to speech synthesis, natural language understanding, Information Extraction, Information retrieval, question answering etc. The aim of NER is to classify words into some predefined categories like location name, person name, organization name, date, time etc. In this paper we describe the Hidden Markov Model (HMM) based approach of machine learning in detail to identify the named entities. The main idea behind the use of HMM model for building NER system is that it is language independent and we can apply this system for any language domain. In our NER system the states are not fixed means it is of dynamic in nature one can use it according to their interest. The corpus used by our NER system is also not domain specific
BERT: Bidirectional Encoder Representations from TransformersLiangqun Lu
BERT was developed by Google AI Language and came out Oct. 2018. It has achieved the best performance in many NLP tasks. So if you are interested in NLP, studying BERT is a good way to go.
Named Entity Recognition using Hidden Markov Model (HMM)kevig
Named Entity Recognition (NER) is the subtask of Natural Language Processing (NLP) which is the branch of artificial intelligence. It has many applications mainly in machine translation, text to speech synthesis, natural language understanding, Information Extraction, Information retrieval, question answering etc. The aim of NER is to classify words into some predefined categories like location name, person name, organization name, date, time etc. In this paper we describe the Hidden Markov Model (HMM) based approach of machine learning in detail to identify the named entities. The main idea behind the use of HMM model for building NER system is that it is language independent and we can apply this system for any language domain. In our NER system the states are not fixed means it is of dynamic in nature one can use it according to their interest. The corpus used by our NER system is also not domain specific
BERT: Bidirectional Encoder Representations from TransformersLiangqun Lu
BERT was developed by Google AI Language and came out Oct. 2018. It has achieved the best performance in many NLP tasks. So if you are interested in NLP, studying BERT is a good way to go.
American Standard Sign Language Representation Using Speech Recognitionpaperpublications3
Abstract: For many deaf people, sign language is the principle means of communication. This increases the isolation of hearing impaired people. This paper presents a system prototype that is able to automatically recognize speech which helps to communicate more effectively with the hearing or speech impaired people. This system recognizes speech signal . Recognized spoken words are represented using American standard sign language via a robotic arm and also on the computer using visual basic .In this project a software package is provided to convert the speech signal, (which does not have any meaning for the deaf and the dumb) into the sign language. The main purpose of this project is to bridge the communication and expression gap between the normal people who cannot understand the sign language, and the deaf and dumb who cannot understand the normal speech.
ATAR: Attention-based LSTM for Arabizi transliterationIJECEIAES
A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by transliterating them into Arabic script. The latter approach is the more common one and this work presents two significant contributions in this direction. The first one is to collect and publicly release the first large-scale “Arabizi to Arabic script” parallel corpus focusing on the Jordanian dialect and consisting of more than 25 k pairs carefully created and inspected by native speakers to ensure highest quality. Second, we present ATAR, an ATtention-based LSTM model for ARabizi transliteration. Training and testing this model on our dataset yields impressive accuracy (79%) and BLEU score (88.49).
A NOVEL APPROACH FOR NAMED ENTITY RECOGNITION ON HINDI LANGUAGE USING RESIDUA...kevig
Many Natural Language Processing (NLP) applications involve Named Entity Recognition (NER) as an important task, where it leads to improve the overall performance of NLP applications. In this paper the Deep learning techniques are used to perform NER task on Hindi text data as it found that as compared to English NER, Hindi language NER is not sufficiently done. This is a barrier for resource-scarce languages as many resources are not readily available. Many researchers use various techniques such as rule based, machine learning based and hybrid approaches to solve this problem. Deep learning based algorithms are being developed in large scale as an innovative approach now a days for the advanced NER models which will give the best results out of it. In this paper we devise a Novel architecture based on residual network architecture for preferably Bidirectional Long Short Term Memory (BiLSTM) with fasttext word embedding layers. For this purpose we use pre-trained word embedding to represent the words in the corpus where the NER tags of the words are defined as the used annotated corpora. BiLSTM Development of an NER system for Indian languages is a comparatively difficult task. In this paper, we have done the various experiments to compare the results of NER with normal embedding and fasttext embedding layers to analyse the performance of word embedding with different batch sizes to train the deep learning models. Here we present a state-of-the-art results with said approach F1 Score measures.
Ijnlc020306NAMED ENTITY RECOGNITION IN NATURAL LANGUAGES USING TRANSLITERATIONijnlc
Transliteration may be defined as the process of mapping sounds in a text written in one language to
another language. Current paper discusses about transliteration and its use in Named Entity Recognition.
We have designed a code that executes Transliteration and assist in the process of Named Entity
Recognition. We have presented some of the results of Named Entity Recognition (NER) using
Transliteration
A Survey of Object Oriented Programming LanguagesMaya Hris.docxdaniahendric
A Survey of Object Oriented Programming Languages
Maya Hristakeva, RadhaKrishna Vuppala
Univ. of California, Santa Cruz
{mayah,vrk}@soe.ucsc.edu
1 Abstract
Object-oriented programming has become a very important programming paradigm of our times.
From the time it was brought into existence by Simula, object-oriented programming has seen wide
acceptance. Object-oriented programming languages (OOPLs) directly support the object notions of
classes, inheritance, information hiding (encapsulation), and dynamic binding (polymorphism). There
is a wide variety of implementations for each of these concepts, and there is no general agreement as to
how a particular concept must be interpreted. This survey takes a detailed look at some of the concepts
considered fundamental to object-orientation, namely inheritance and polymorphism. Different aspects
of inheritance and polymorphism are implemented in various popular OOPLs. We conclude with the
observation that there is still lot of work to be done to reach a common ground for these crucial features
of OOPLs. This survey presents a detailed comparison of Java, C++, C# , Eiffel, Smalltalk, Ruby and
Python in terms of their inheritance and polymorphism implementations. The paper also presents a
compilation of the observations made by several earlier surveys [1, 27].
2 Introduction
There is a big variety of programming languages catering to various kinds of development require-
ments. Three of the main categories are procedural languages (e.g. C, Pascal, etc.), functional languages
(e.g. Haskel, Ocaml, etc.), and object-oriented programming languages (e.g. C++, Java, etc.). The
object-oriented design paradigm has been popular for quite some time owing its success to the powerful
features it offers for making program development easy and robust. OOPLs, such as C++ and Java,
offer an intuitive way of developing programs and provide powerful features for supporting the program
development. While languages like C can be used to develop programs that follow an object-oriented
design, the support of features such as inheritance, encapsulation, strong type support, exception han-
dling, etc. in the OOPLs make them more suitable for such development.
While the object-oriented programming paradigm provides a more intuitive way of programming, it
is also has complexities. This is due to the various complex features that the paradigm offers. OOPLs
differ widely in the way they implement features that are associated with the object design. For example,
some languages support multiple inheritance while some languages consider it a bad feature. In this sur-
vey we discuss the various features of object-oriented programs and how the languages we considered
1
(Java, C++, C# , Eiffel, Smalltalk, Ruby and Python) differ in implementing these features.
The survey is organized as follows. The Section 3 describes in detail the key concepts of OOPLs. Sec-
tion 4 presents a brief historical view of the OOPLs and gives a ...
Guide to programming using object oriented languages such as java, python, c, c++ among other programming languages that focus on tying data closely to the function that operates on it rather than procedural oriented programming.
American Standard Sign Language Representation Using Speech Recognitionpaperpublications3
Abstract: For many deaf people, sign language is the principle means of communication. This increases the isolation of hearing impaired people. This paper presents a system prototype that is able to automatically recognize speech which helps to communicate more effectively with the hearing or speech impaired people. This system recognizes speech signal . Recognized spoken words are represented using American standard sign language via a robotic arm and also on the computer using visual basic .In this project a software package is provided to convert the speech signal, (which does not have any meaning for the deaf and the dumb) into the sign language. The main purpose of this project is to bridge the communication and expression gap between the normal people who cannot understand the sign language, and the deaf and dumb who cannot understand the normal speech.
ATAR: Attention-based LSTM for Arabizi transliterationIJECEIAES
A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by transliterating them into Arabic script. The latter approach is the more common one and this work presents two significant contributions in this direction. The first one is to collect and publicly release the first large-scale “Arabizi to Arabic script” parallel corpus focusing on the Jordanian dialect and consisting of more than 25 k pairs carefully created and inspected by native speakers to ensure highest quality. Second, we present ATAR, an ATtention-based LSTM model for ARabizi transliteration. Training and testing this model on our dataset yields impressive accuracy (79%) and BLEU score (88.49).
A NOVEL APPROACH FOR NAMED ENTITY RECOGNITION ON HINDI LANGUAGE USING RESIDUA...kevig
Many Natural Language Processing (NLP) applications involve Named Entity Recognition (NER) as an important task, where it leads to improve the overall performance of NLP applications. In this paper the Deep learning techniques are used to perform NER task on Hindi text data as it found that as compared to English NER, Hindi language NER is not sufficiently done. This is a barrier for resource-scarce languages as many resources are not readily available. Many researchers use various techniques such as rule based, machine learning based and hybrid approaches to solve this problem. Deep learning based algorithms are being developed in large scale as an innovative approach now a days for the advanced NER models which will give the best results out of it. In this paper we devise a Novel architecture based on residual network architecture for preferably Bidirectional Long Short Term Memory (BiLSTM) with fasttext word embedding layers. For this purpose we use pre-trained word embedding to represent the words in the corpus where the NER tags of the words are defined as the used annotated corpora. BiLSTM Development of an NER system for Indian languages is a comparatively difficult task. In this paper, we have done the various experiments to compare the results of NER with normal embedding and fasttext embedding layers to analyse the performance of word embedding with different batch sizes to train the deep learning models. Here we present a state-of-the-art results with said approach F1 Score measures.
Ijnlc020306NAMED ENTITY RECOGNITION IN NATURAL LANGUAGES USING TRANSLITERATIONijnlc
Transliteration may be defined as the process of mapping sounds in a text written in one language to
another language. Current paper discusses about transliteration and its use in Named Entity Recognition.
We have designed a code that executes Transliteration and assist in the process of Named Entity
Recognition. We have presented some of the results of Named Entity Recognition (NER) using
Transliteration
A Survey of Object Oriented Programming LanguagesMaya Hris.docxdaniahendric
A Survey of Object Oriented Programming Languages
Maya Hristakeva, RadhaKrishna Vuppala
Univ. of California, Santa Cruz
{mayah,vrk}@soe.ucsc.edu
1 Abstract
Object-oriented programming has become a very important programming paradigm of our times.
From the time it was brought into existence by Simula, object-oriented programming has seen wide
acceptance. Object-oriented programming languages (OOPLs) directly support the object notions of
classes, inheritance, information hiding (encapsulation), and dynamic binding (polymorphism). There
is a wide variety of implementations for each of these concepts, and there is no general agreement as to
how a particular concept must be interpreted. This survey takes a detailed look at some of the concepts
considered fundamental to object-orientation, namely inheritance and polymorphism. Different aspects
of inheritance and polymorphism are implemented in various popular OOPLs. We conclude with the
observation that there is still lot of work to be done to reach a common ground for these crucial features
of OOPLs. This survey presents a detailed comparison of Java, C++, C# , Eiffel, Smalltalk, Ruby and
Python in terms of their inheritance and polymorphism implementations. The paper also presents a
compilation of the observations made by several earlier surveys [1, 27].
2 Introduction
There is a big variety of programming languages catering to various kinds of development require-
ments. Three of the main categories are procedural languages (e.g. C, Pascal, etc.), functional languages
(e.g. Haskel, Ocaml, etc.), and object-oriented programming languages (e.g. C++, Java, etc.). The
object-oriented design paradigm has been popular for quite some time owing its success to the powerful
features it offers for making program development easy and robust. OOPLs, such as C++ and Java,
offer an intuitive way of developing programs and provide powerful features for supporting the program
development. While languages like C can be used to develop programs that follow an object-oriented
design, the support of features such as inheritance, encapsulation, strong type support, exception han-
dling, etc. in the OOPLs make them more suitable for such development.
While the object-oriented programming paradigm provides a more intuitive way of programming, it
is also has complexities. This is due to the various complex features that the paradigm offers. OOPLs
differ widely in the way they implement features that are associated with the object design. For example,
some languages support multiple inheritance while some languages consider it a bad feature. In this sur-
vey we discuss the various features of object-oriented programs and how the languages we considered
1
(Java, C++, C# , Eiffel, Smalltalk, Ruby and Python) differ in implementing these features.
The survey is organized as follows. The Section 3 describes in detail the key concepts of OOPLs. Sec-
tion 4 presents a brief historical view of the OOPLs and gives a ...
Guide to programming using object oriented languages such as java, python, c, c++ among other programming languages that focus on tying data closely to the function that operates on it rather than procedural oriented programming.
OOP and Its Calculated Measures in Programming Interactivityiosrjce
This study examines the object oriented programming (OOP) and its calculated measures in
programming interactivity in Nigeria. It focused on the existing programming languages used by programmers
and examines the need for integrating programming interactivity with OOP. A survey was conducted to measure
interactivity amongst professionals using certain parameters like flexibility, interactivity, speed,
interoperability, scalability, dynamism, and solving real life problems. Data was gathered using questionnaire,
and analysis was carried out using frequency, percentage ratio, and mean in arriving at a more proactive stand.
The results revealed that the some of the parameters used are highly in support of the programming interactivity
with OOP.
Examines how new technologies can be applied to overcome problems in controlled vocabularies, focusing on Resource Description Framework (RDF), Simple Knowledge Organisation System (SKOS), metadata registries and web services. Part of the Cataloguing and Indexing Group in Scotland (CIGS) seminar "Toto, I've got a feeling we're not in Kansas anymore": metadata issues and Web2.0 services.
What is Wireless Communication or Unguided Transmission MediaAhsan Rahim
What is Wireless Communication or What is Unguided Media | A Complete Introduction to the Wireless Communication Systems
In layman language it is communication in which information is transferred between two or more points without any wire. Transmitting/receiving voice and data using electromagnetic waves in open space. In wireless Communication the information from sender to receiver is carried over a well defined channel. Each channel has a fixed frequency bandwidth & capacity(bit rate) & Different channels can be used to transmit information in parallel and independently.
This video explains what Wireless Communication is & and why it's faster, effective & doesn't eat up our valuable IT resources as compare to Wired Communication or Guided Media
Watch Video Here : https://youtu.be/xs05l4GEbZA
Wireless Communication : https://www.slideshare.net/AhsanRahim1/wireless-communication-or-unguided-transmission-media/
Learn more about Wireless Communication at : https://www.slideshare.net/ahsanrahim1
Cloud Computing in 2017 : https://www.youtube.com/watch?v=1OuaAgvYWQo
Software Development Life Cycle Models : https://www.youtube.com/watch?v=3Lxnn0O3xaM
Subscribe to Science Villa on YouTube for exclusive updates on new videos : https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Software Project Management | An Overview of the Software Project ManagementAhsan Rahim
Management is the process of getting things done through others, it is the process of coordinating people & other resources to achieve the goals of the organization. A project is a set of related tasks that are coordinated to achieve a specific objective in a given time limit. A project is well-defined task, which is a collection of several operations done in order to achieve a goal. Software is the program & all associated documentation & configuration data which is needed to make these programs operate correctly.
A Software Project is the complete procedure of software development from requirement gathering to testing & maintenance, carried out according to the execution methodologies, in a specified period of time to achieve intended software product.
What is HTML - An Introduction to HTML (Hypertext Markup Language)Ahsan Rahim
What is HTML?
HTML stands for "Hypertext Markup Language". A standardized system for tagging text files to achieve font, colour, graphic, and hyperlink effects on World Wide Web pages.
Hypertext Markup Language is the standard markup language for creating the Web pages and Web Applications. With Cascading Style Sheets (CSS) & JavaScript for creating World Wide Web pages.
HTML is a computer language devised to allow website creation. These websites can then be viewed by anyone else connected to the Internet.
HTML is relatively easy to learn & it consists of a series of short codes typed into a text-file by the site author — these are the tags. The text is then saved as a html file, and viewed through a browser.
Basics of the Computer System.
Hi Everyone, here in this presentation you are about to get knowledge of 'What actually is a Computer System? Different types of computer, Computer Hardware, Software and a lot more with animated video..
This Video URL:
https://youtu.be/X5x5SI0rTz4
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
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What kinds of languages can agents use to communicate?Ahsan Rahim
Here is a full report on "What kinds of languages can agents use to communicate?". Multi-Agent System (MAS) is composed of multiple heterogeneous intelligent software systems called agents. Agents need an Agent Communication Language (ACL) in order to interact in a shared language, hiding the details of their internals and to build communities of agents that can tackle problems that no individual agent can.
Here are full presentation slides on Network Topologies & different types of Network Topologies, advantages and disadvantages of different types of topologies & types of different devices being used in Networking or a Network System.
Processes description and process control.Ahsan Rahim
My Fiverr Profile: https://www.fiverr.com/ahsanrahim786
Click to download more Books: http://appsdisaster.blogspot.com/
Process description and process control block in operating system. It includes Process Control Block, Two-states Process model & Five-state process models,
Agile Development | Agile Process ModelsAhsan Rahim
Agile Development | Agile Process Models
Here you are going to know What is Agile Development & What are Agile Process Models for the development of Software Product.
What are different types of Agile Development, steps involve in Agile Development, XP, Scrum, Traditional Process Models with full text and animated description.
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
If you are interested in learning more about topics like this so Please don't forget to like, share, & Subscribe to us.
Software Development Life Cycle Models | What are Software Process Models ?
Here you are going to know What is Software Development Life Cycle Model or What are Software Process Models?
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
If you are interested in learning more about topics like this so Please don't forget to like, share, & Subscribe to this channel.
Thanks
Software Process Models | Software Development Process Models | SDLC | Traditional Software Process Models | Waterfall Model Incremental Model | Prototyping Model | Evolutionary Process Model
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
2. Introduction
An agent is a computer system capable of autonomous action in some
environment in order to meet its design objectives
Agent communication is essential for facilitating cooperation,
coordination, negotiation, and other aspects of agent interaction
3. Agent Communication Languages
(ACLs)
Agents Communication Language (ACL) provides agents with a means
of exchanging information and knowledge.
Number of languages have been developed specifically for agent
communication.
4. Knowledge Sharing Effort (KSE)
In the early 1990s, Knowledge Sharing Effort (KSE) was formed &
sponsored by the Advanced Research Projects Agency (ARPA)
The Knowledge-Sharing Effort (KSE) is an initiative to develop the
technical infrastructure to support the sharing of knowledge among
autonomous information systems
The goal of this effort is to develop a technology that will enable
researchers to develop new systems
Participation by dozens of researchers in academia and industry
5. Knowledge Sharing Effort (KSE)
The KSE generated two main deliverables as follows:
i. The Knowledge Query and Manipulation Language (KQML)
ii. The Knowledge Interchange Format (KIF)
6. Knowledge Interchange Format (KIF)
KIF is a computer-oriented language for the interchange of knowledge
This language was originally developed with the intent of being a
common language for expressing properties & representing knowledge
of a particular domain
It was not intended to be a language in which messages themselves
would be expressed
KIF is a Langauge for expressing message content
7. Knowledge Interchange Format (KIF)
KIF is used to state:
i. Properties of things in a Domain (e.g. ‘John is a Chairman‘)
ii. Relationships between things in a Domain (e.g. 'Michael is Janine’s
Boss')
iii. General properties of a Domain (e.g. 'everybody has a mother')
8. Knowledge Interchange Format (KIF)
“The temperature of m1 is 83 Celsius”:
(= (temperature m1) (scalar 83 Celsius))
“An object is a bachelor if the object is a man and is not married”:
(defrelation bachelor (?x) :=
(and (man ?x) (not (married ?x))))
“Any individual with the property of being a person also has the property
of being a mammal”:
(defrelation person (?x) :=> (mammal ?x))
9. Knowledge Query and Manipulation
Language (KQML)
KQML is a message-based language for agent communication. Thus
KQML defines a common format for messages
It was developed by the ARPA-supported Knowledge Sharing Effort and
independently implemented by several research groups
KQML is a language that is designed to support interaction among
intelligent software agents
The KQML language simplifies its implementation by allowing KQML
messages to carry useful information:
Such as the names and addresses of the sending and receiving agents,
a unique message identifier, and notations by agents
10. Knowledge Query and Manipulation
Language (KQML)
KQML is a language that defines various acceptable ‘communicative
verbs’, or Performatives (such as: ask, reply)
Example Performatives:
• ask-if (‘is it true that. . . ’)
• perform (‘please perform the following action. . . ’)
• tell (‘it is true that. . . ’)
• reply (‘the answer is . . . ’)
11. KQML: The 3 Layers
Communication Layer
Mechanics of communication, e.g. Sender, receiver
Performatives (Message Layer)
Specifies the actual content of the message
e.g. a KIF expression
Content Layer
Logic of communication, The set of performatives provided by the language e.g. ask, tell
12. KQML Example
(ask-one
: content (PRICE IBM ?price)
: receiver stock-server
: language LPROLOG
: ontology NYSE-TICKS 1
)
The intuitive interpretation of this message is that the sender is asking
about the price of IBM stock
13. The Foundation for Intelligent Physical
Agents (FIPA)
In 1995, the Foundation for Intelligent Physical Agents (FIPA) began its work
on developing standards for agent systems
The Foundation for Intelligent Physical Agents (FIPA) is a non-profit
association
FIPA’s purpose is to promote the success of emerging agent-based
applications, services and equipment
FIPA operates through the open international collaboration of member
organisations: companies, universities and government organisations
The most important difference between the KQML & FIPA is in the
collection of performatives they provide
14. FIPA
Here is an example of a I FIPA ACL message
( inform
:sender agent1
: receiver agent2
:content (price good2 150)
:language sl
: onto1ogy hpl –auction
)