Examples on Game playing

Duration: 5 min

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Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, 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. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: 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
  13. 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
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, 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
  16. 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
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture introduces adversarial search problems, also known as games, where agents have conflicting goals. It formally defines a game using six elements: initial state, player, actions, result, terminal test, and utility function. The instructor uses a tic-tac-toe example to illustrate these concepts, drawing the grid and labeling the root as the initial state. She explains the game tree structure, distinguishing between the computer (Max player) and the opponent (Min player). The lecture details how the game tree expands from the initial state through legal moves until terminal states are reached. At these leaf nodes, a utility function evaluates the outcome, assigning values like +1 for a win, -1 for a loss, and 0 for a draw. The instructor emphasizes that the goal is to maximize utility for the computer and minimize it for the opponent.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture begins by defining competitive environments where agents' goals are in conflict, leading to adversarial search problems often called games. The slide lists the formal elements of a game: $S_0$ (initial state), PLAYER(s), ACTIONS(s), RESULT(s, a), TERMINAL-TEST(s), and UTILITY(s, p). The instructor highlights key terms like 'competitive environments' and 'adversarial search problems'. She draws a tic-tac-toe grid to represent the initial state $S_0$. She underlines 'legal moves' and writes 'Operations' next to it. She underlines 'transition model' for the result function. She underlines 'terminal test' and 'terminal states'. She underlines 'utility function' and writes 'Computer' and 'Player (Min)' at the bottom, indicating the two agents involved.

  2. 2:00 – 5:00 02:00-05:00

    The presentation shifts to a 'Game Tree (2-player, Deterministic, Turns)' using tic-tac-toe as the example. The slide shows a tree structure starting from an empty grid. The instructor writes 'initial state' pointing to the root node. She writes 'Game' and 'Assume' near the top. She circles 'computer's turn' and 'opponent's turn' on the left. She labels the levels 'MAX (X)' and 'MIN (O)'. She writes 'State Space' near the middle nodes. She explains that the computer is the Max player and the opponent is the Min player. She points to the leaf nodes at the bottom, explaining that the utility function is employed there. She writes 'Match draw' under a utility of 0, 'win' under a utility of +1, and circles the values -1, 0, +1. She writes 'utility function' and 'test final result'. She writes 'Game playing -> util' at the bottom.

  3. 5:00 – 5:28 05:00-05:28

    The video concludes with the instructor finalizing the explanation of the utility function on the game tree slide. The text 'At the leaf nodes, the utility function is employed. Big value means good, small is bad' is clearly visible. The instructor has written 'Game playing -> util' and 'test final result' on the slide. The focus remains on how the game tree is evaluated from the bottom up using these utility values to determine the best move for the Max player.

The lecture systematically builds the concept of game playing in AI. It starts with the formal definition of a game as a search problem with specific components like initial state, actions, and utility functions. It then transitions to a visual representation using a game tree for tic-tac-toe. The instructor clarifies the roles of the two players (Max and Min) and how the tree expands through legal moves. Finally, it explains the evaluation process at the leaf nodes using a utility function, assigning values to wins, losses, and draws to guide decision-making.

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