simple problem to convert NFA with epsilon to without epsilonkanikkk
conversion of NFA,this will helps to easily solve the problems
by this small example you can solve large problems also.by solving this type of small problems we can get a more ideas to solve this type of problems
simple problem to convert NFA with epsilon to without epsilonkanikkk
conversion of NFA,this will helps to easily solve the problems
by this small example you can solve large problems also.by solving this type of small problems we can get a more ideas to solve this type of problems
In the present talk we will make explicit a twofold assumption that, we think, underlies most -if not all- current approaches to theoretical syntax: mental processes are computational and that computation is function-based. While usually taken for granted (and rarely distinguished from the wider computational thesis in the literature), we will see that there are many problems with function-based computation, which relates a finite input to a finite output in finite time, in a strictly serial manner, and closed to any external influence or information source. We will present some of those problems, which, in our opinion, greatly undermine the neurocognitive plausibility of formal models of the so-called ‘faculty of language’ that assume function-based computation of the kind performed by a Turing Machine (including the Minimalist Program, as well as non-transformational theories like HPSG and LFG). We will argue that formal models should be based on interactive computation instead (following Wegner, 1997; Goldin & Wegner, 2007, a.o.), which is open to external influence, dynamic, and not strictly serial, in order to achieve what we will call ‘implementational adequacy’: the possibility to implement the model in a human mind-brain, in real-time computation. This thesis has a direct impact on the assumed nature of linguistic objects, which in this view are not computationally uniform (unlike exhaustively binary-branching trees), the structure of the lexicon (rich feature matrices vs. type-token dynamics), and the selection of lexical items in order to assemble structure (which is in this view semantically based, unlike narrow-syntactic accounts).
Short Notes on Automata Theory
Automata theory is the study of abstract machines and automata, as well as the computational problems that can be solved using them. It is a theory in theoretical computer science and discrete mathematics (a subject of study in both mathematics and computer science). The word automata (the plural of automaton) comes from the Greek word αὐτόματα, which means "self-making".
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
Definition of an Automaton, characteristics of automata,types of automata,deterministic finite automata,non-deterministic automata,Example of Automata,Graphical representation of DFA and NDFA. transition table and transition diagram of DFA and NDFA
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
In the present talk we will make explicit a twofold assumption that, we think, underlies most -if not all- current approaches to theoretical syntax: mental processes are computational and that computation is function-based. While usually taken for granted (and rarely distinguished from the wider computational thesis in the literature), we will see that there are many problems with function-based computation, which relates a finite input to a finite output in finite time, in a strictly serial manner, and closed to any external influence or information source. We will present some of those problems, which, in our opinion, greatly undermine the neurocognitive plausibility of formal models of the so-called ‘faculty of language’ that assume function-based computation of the kind performed by a Turing Machine (including the Minimalist Program, as well as non-transformational theories like HPSG and LFG). We will argue that formal models should be based on interactive computation instead (following Wegner, 1997; Goldin & Wegner, 2007, a.o.), which is open to external influence, dynamic, and not strictly serial, in order to achieve what we will call ‘implementational adequacy’: the possibility to implement the model in a human mind-brain, in real-time computation. This thesis has a direct impact on the assumed nature of linguistic objects, which in this view are not computationally uniform (unlike exhaustively binary-branching trees), the structure of the lexicon (rich feature matrices vs. type-token dynamics), and the selection of lexical items in order to assemble structure (which is in this view semantically based, unlike narrow-syntactic accounts).
Short Notes on Automata Theory
Automata theory is the study of abstract machines and automata, as well as the computational problems that can be solved using them. It is a theory in theoretical computer science and discrete mathematics (a subject of study in both mathematics and computer science). The word automata (the plural of automaton) comes from the Greek word αὐτόματα, which means "self-making".
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
Definition of an Automaton, characteristics of automata,types of automata,deterministic finite automata,non-deterministic automata,Example of Automata,Graphical representation of DFA and NDFA. transition table and transition diagram of DFA and NDFA
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
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.
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.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
2. Introduction
• What is Finite Automata?
▫ It is the simplest machine to recognize patterns.
• A Finite Automata consists of the following :
Q : Finite set of states.
∑ : set of Input Symbols.
q : Initial state.
F : set of Final States.
δ : Transition Function.
2
3. Example
• Let us consider the controller of an automatic door.
• The controller is in either of two states: OPEN or CLOSED
CLOSED OPEN
FRONT
NEITHER
FRONT
REAR
BOTH
REAR
NEITHER
BOTH
FRONT – a person is standing in front
of the doorway.
REAR – a person is standing to the rear
of the doorway.
BOTH – people are standing on both
sides.
NEITHER – none is standing on either
side.
3
4. Example
States NEITHER FRONT REAR BOTH
CLOSED CLOSED OPEN CLOSED CLOSED
OPEN CLOSED OPEN OPEN OPEN
Input Signals
4
5. Notation of Formal Definition
• We can describe the finite automaton as M = (Q, ∑, δ, q1, F)
where,
Q = {q1, q2, q3},
∑ = {0, 1},
δ is described as
q1 is the start state, and
F = {q2}.
0 1
q1 q1 q2
q2 q3 q2
q3 q2 q2
5
6. Formal Definition
• In the example, let A be the language of Machine M.
• A = {w|w contains at least one 1 and
an even number of 0’s follow the last 1}
• So L(M) = A or equivalently M recognizes A.
6
7. Drawing State Diagrams
• A finite automaton is described as
M = ({q1, q2}, {0, 1}, δ, q1, {q2}).
The transition function δ is
7
0 1
q1 q1 q2
q2 q1 q2
8. Designing Finite Automata
• Design a finite automaton which has input symbols {0,
1} and accepts the language L = {w|w is the empty string
ϵ or ends with a 0}
8
As this machine accepts the language L, it is called regular
language.
9. Designing Finite Automata
• Suppose a machine has ∑ = {a, b} and accepts all the
strings that start and end with a or that start and end
with b.
9
sa b
q1 r1
a b
q2
b r2 a
b baa