PQ on AO- Search

Duration: 2 min

This video lesson is available to enrolled students.

Return to /learn/ISRO/ai-machine-learning-big-data-cloud/search-algorithms/ao-and-branch-based-search/asset-pq-on-ao-search after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware Basics, Network Security
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. TOC & Compiler: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a solution to a UGC NET 2018 question on AND OR Search algorithms. The instructor analyzes three statements regarding solution subtrees, OR nodes, and AND nodes. She validates each statement as true by underlining key terms and drawing diagrams to illustrate deterministic and non-deterministic branching. Finally, she selects the correct option corresponding to all statements being true.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a lecture on the AND OR Search algorithm, addressing a UGC NET 2018 question. The instructor displays a PDF slide with three statements (S1, S2, S3). She analyzes Statement S1: "A solution is a subtree that has a goal node at every leaf." She underlines the phrase and places a checkmark, confirming it is True. Next, she analyzes Statement S2: "OR nodes are analogous to the branching in a deterministic environment." She underlines key terms and draws a diagram showing branching paths, labeling it an OR node structure. She writes "S2 - True" below, reinforcing that OR nodes represent choices where only one path needs success, similar to deterministic branching. She also writes "A0*" on the top right, referencing the AO* algorithm.

  2. 2:00 – 2:14 02:00-02:14

    Continuing the analysis, the instructor addresses Statement S3: "AND nodes are analogous to the branching in a non-deterministic environment." She underlines "AND nodes" and "non-deterministic environment." She draws a diagram below the first one, depicting a node where all branches must be traversed, characteristic of an AND node. She writes "S3 - True" next to it, indicating AND nodes require all sub-goals to be met. Having established S1, S2, and S3 are all True, she reviews the multiple-choice options provided at the bottom of the slide. She identifies option (a) as correct, concluding the session. The final selection confirms the definitions accurately describe AND OR search algorithms.

This lecture segment focuses on validating statements about AND OR search algorithms. The instructor systematically evaluates each statement, using visual aids like underlining and diagrams to clarify the concepts of OR and AND nodes. By confirming that solution subtrees must have goal nodes at every leaf, and that OR/AND nodes correspond to deterministic/non-deterministic environments respectively, she establishes the correctness of all three statements. The lesson concludes by identifying the correct option, reinforcing the theoretical understanding of search algorithms in AI.

Loading lesson…