Practice question on Search Algorithms

Duration: 3 min

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Module outline

  1. About Course: UPPSC Course Overview
  2. Interview Preparation & Guidance: Interview Preparation
  3. Paper 1 | General Hindi: भाषा, लिपि, ध्वनि, वर्ण, अक्षर, स्वर, व्यंजन, मात्रा और संयुक्ताक्षर, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, विशेषण और क्रिया, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, वर्णमाला, समास, संधि, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, मुहावरे और लोकोक्तियाँ, अपठित गद्यांश और अपठित पद्यांश, Multi-Topic Content (Cross-Concept Material)
  4. Paper 2 | General Studies: State Wise GK, Polity, Geography, History, GK- Current Affairs
  5. Paper 1 | Programming Language: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++
  6. Paper 1 | Database Management Systems: 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, ORDBMS, NoSQL
  7. Paper 1 | Cyber Security: Society, Law & Ethics, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Electronic Data Interchange and E-Commerce, Physical Security and Cryptography Basics, Intrusion Detection Systems (IDS), Cyber Safety and Security, Ethical Hacking
  8. Paper 1 | Computer Organization and Architecture: Basics of COA, Programming the Basic Computer, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design
  9. Paper 1 | Computer Networks: 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
  10. Paper 1 | Design and Analysis of Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  11. Paper 1 | Data Structures: Introduction to DS, Array, Linked List, Stack, Queue, Tree, Graphs, Hashing
  12. Paper 1 | Discrete Structures and Theory of Logic: Permutation and Combination, Set Theory, Relations, Functions, Propositional and Predicate Logic, Graph Theory, Group Theory
  13. Paper 1 | Software Project Management: Software Project Management
  14. Paper 2 | Operating Systems: 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, Security
  15. Paper 2 | Compiler Design: 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, Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Pushdown Automata & CFG, Complexity Theory
  16. Paper 2 | Artificial Intelligence & High Performance Computing: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Natural Language Processing, Emerging Tech Trends
  17. Paper 2 | Image Processing: Digital Image Fundamentals, Image Enhancement, Image Restoration, Color Image Processing, Image Compression
  18. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  19. Paper 2 | Computer Graphics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing
  20. Paper 2 | Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, Emerging Technologies, HTML Basics, JavaScript-Basics, Java
  21. Paper 2 | Soft Computing: Fuzzy Sets, Artificial Neural Networks, Genetic Algorithms
  22. Paper 2 | Distributed System: Distributed Systems
  23. UPPSC Live Class Recordings: UPPSC Polytechnic Lecturer 2025 (CS)
  24. Previous Year Papers:
  25. Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture segment solving a multiple-choice matching question from the UGC NET December 2023 exam. The topic covers heuristic search algorithms in Artificial Intelligence. The instructor analyzes four specific algorithms: Greedy Best First Search, A*, Recursive Best First Search, and SMA*. She matches these with their respective properties regarding space complexity, completeness, and optimality. The session begins by briefly reviewing a goal tree diagram before transitioning to the specific question. The instructor uses on-screen highlighting and handwritten annotations to deduce the correct pairings, ultimately selecting option (i) as the correct answer. The screen displays a 'KnowledgeGate' watermark throughout the lecture.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide displaying a goal tree diagram titled 'Goal: Acquire a Phone,' illustrating OR and AND arcs connecting nodes like 'Steal Phone' and 'Earn Money.' The instructor then transitions to a 'Match List - I with List - II' question. List I lists search algorithms: (A) Greedy Best first search, (B) A*, (C) Recursive best first search, and (D) SMA*. List II lists properties: (I) Space complexity O(d), (II) Incomplete even if search space is finite, (III) Optimal if reachable otherwise return best reachable, and (IV) Computation and space complexity is too light. The instructor highlights 'Greedy Best first search' and 'A*' in List I. She writes 'O(b^d)' near A* and 'Recursive Best First Search' at the top right of the screen. She underlines 'Incomplete even if the search space is finite' and 'Computation and space complexity is too light' in List II to identify key characteristics. She writes 'O(bd)' and 'O(d)' while analyzing space complexity.

  2. 2:00 – 3:10 02:00-03:10

    The instructor continues the analysis by connecting the algorithms to their properties. She writes 'linear' next to 'O(d)' to emphasize the space complexity of Recursive Best First Search. She underlines the text 'Optimal if optimal solution is reachable otherwise return the best reachable optimal solution' corresponding to property (III). She then circles the final answer option (i) at the bottom of the slide, which reads: (A)-(II), (B)-(IV), (C)-(I), (D)-(III). Finally, she writes 'ANS: i' to confirm the solution. The lecture concludes with the verified matching of Greedy Best First Search to incompleteness, A* to light complexity, Recursive Best First Search to linear space complexity, and SMA* to the conditional optimality property. This systematic approach helps students understand the trade-offs between different search strategies.

The lecture effectively guides students through a complex matching problem involving AI search algorithms. By breaking down the properties of Greedy Best First Search, A*, Recursive Best First Search, and SMA*, the instructor demonstrates how to apply theoretical knowledge to exam questions. The use of handwritten notes clarifies the space complexity distinctions, particularly the linear space of RBFS versus the exponential space of A*. The final selection of option (i) solidifies the understanding of these algorithmic characteristics.

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