Artificial Intelligence Overview
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What is the main distinction between AI and human intelligence?

  • AI can handle complex computations better than humans.
  • Humans understand results and decide on future actions better. (correct)
  • Both perform equally in unforeseen situations.
  • Machines possess the ability to reason like humans.
  • AI systems can completely replicate human thought processes.

    False

    Who designed the Turing Test?

    Alan Turing

    Artificial Intelligence is the science of making computers do things that require __________ when done by humans.

    <p>intelligence</p> Signup and view all the answers

    Match the AI system types with their characteristics:

    <p>Systems that think like humans = Natural language processing and machine learning Systems that act like humans = Introspection and psychological experience Systems that think rationally = Driven by logical laws Systems that act rationally = Doing the right thing</p> Signup and view all the answers

    Which component of an agent is responsible for receiving data?

    <p>Sensor</p> Signup and view all the answers

    The performance of computers improves significantly in unforeseen situations.

    <p>False</p> Signup and view all the answers

    What is one method that AI systems use to behave like humans?

    <p>Natural language processing</p> Signup and view all the answers

    Which statement correctly describes Bare Bones language?

    <p>It is a universal language with a simple structure.</p> Signup and view all the answers

    Public keys are used to decrypt messages in public-key cryptography.

    <p>False</p> Signup and view all the answers

    What problem does RSA public key cryptography primarily rely on?

    <p>Factoring large numbers</p> Signup and view all the answers

    In the context of Bare Bones language, the command 'while name not 0 do; ... end;' is used for __________.

    <p>looping</p> Signup and view all the answers

    Match the following types of keys in public-key cryptography with their usage:

    <p>Public key = Encrypt messages Private key = Decrypt messages</p> Signup and view all the answers

    What does the Halting Problem involve?

    <p>Deciding if a program will terminate.</p> Signup and view all the answers

    What is the goal of the knapsack problem in the context of encryption?

    <p>To select numbers that sum to a particular value</p> Signup and view all the answers

    The Bare Bones language can only handle one variable at a time.

    <p>False</p> Signup and view all the answers

    What is a function in computer science?

    <p>A correspondence between a collection of input values and output values</p> Signup and view all the answers

    A non-computable function can be calculated by an algorithm.

    <p>False</p> Signup and view all the answers

    What are the three actions of a Turing machine at each step?

    <p>Write a value, move the read/write head, change state.</p> Signup and view all the answers

    The theory that states the functions computable by a Turing machine are the same as those computable by any __________ means is known as the Church-Turing Thesis.

    <p>algorithmic</p> Signup and view all the answers

    Match the following types of language with their properties:

    <p>Bare Bones = A universal programming language Python = A popular programming language that can express any computable function Assembly Language = Low-level programming language often used for system programming JavaScript = Client-side scripting language for web applications</p> Signup and view all the answers

    Which of the following best describes a Turing machine?

    <p>A theoretical model for computation</p> Signup and view all the answers

    Incrementing a value on a Turing machine involves changing its state and writing a new value.

    <p>True</p> Signup and view all the answers

    What type of language can express a solution to any computable function?

    <p>Universal programming language</p> Signup and view all the answers

    What is the purpose of modular arithmetic in the context of the hard knapsack problem?

    <p>To simplify the encryption process</p> Signup and view all the answers

    The sum of all values in the easy knapsack system is 1685.

    <p>False</p> Signup and view all the answers

    What are the 'magic numbers' used in the hard knapsack problem?

    <p>642, 2311, 18</p> Signup and view all the answers

    The resulting list after multiplying each entry in the easy knapsack system by 642 is __________.

    <p>642, 257, 1541, 771, 2184, 388, 391, 782, 2206, 304</p> Signup and view all the answers

    Match the numbers with their mathematical operation in the hard knapsack problem:

    <p>642 = Multiplication factor 2311 = Divisor for finding remainders 18 = Target sum multiplier</p> Signup and view all the answers

    When defining equivalence in modular arithmetic, integers with the same remainder when divided by a modulus are said to be:

    <p>Equivalent modulo</p> Signup and view all the answers

    In order to use modular arithmetic effectively, the modulus must be less than the sum of all values in the list.

    <p>False</p> Signup and view all the answers

    What is the resulting remainder when using the modulus of 2311 with a target sum multiplied by 18?

    <p>Varies based on the target sum used.</p> Signup and view all the answers

    Study Notes

    Artificial Intelligence (AI)

    • AI is the science of making computers perform tasks that require intelligence when performed by humans.
    • Multiple definitions exist for AI.

    Distinction between AI and Human

    • Computers outperform humans in terms of speed and accuracy.
    • Computers struggle with unforeseen situations and their performance deteriorates rapidly.
    • Humans struggle with complex computations but possess reasoning and intuitive abilities.
    • Humans are more likely to comprehend results and determine subsequent computations.

    AI - Different Perspectives

    • Many definitions focus on thought process, reasoning, and behavior.
    • Thinking like humans: Achieving this through introspection (analyzing one's own thoughts) and psychological experience.
    • Acting like humans: This involves areas such as natural language processing, knowledge representation, automated reasoning, and machine learning.
    • Thinking rationally: Aiming for systems driven by logic and deduction allowing them to solve problems by applying logical rules to a description of the problem.
    • Acting rationally: Systems are deemed rational when they perform the correct actions.

    The Turing Test

    • Developed by Alan M. Turing, the test evaluates machine intelligence.
    • It involves an interrogator, a human respondent, and a machine to be tested.
    • The interrogator aims to discern if the machine or the human is providing responses.
    • Turing's test focuses on the machine's ability to fool the interrogator into believing it is a human.

    Agent

    • An agent is a device that responds to stimuli from its environment, similar to a robot.
    • Agents have sensors for receiving data, and actuators for interacting with the environment.

    Functions

    • A relationship between possible input and output values where each input has a single output.
    • Computing a function means determining output from input.
    • A non-computable function is one that cannot be solved by any algorithm.

    Turing Machine

    • Has a tape, a read/write head, and a state register.
    • Uses instructions to read, write, and move the head.
    • Each step uses the state and tape value as input.

    Incrementing a Value

    • Turing Machine reads tape, changes state, writes the incremented value, and moves the head.
    • Uses a specific set of states and instructions to achieve the task.

    Church-Turing Thesis

    • States that any problem solvable by Turing Machine is also solvable by an algorithm and vice versa.

    Universal Programming Language

    • Can be used to express any computable function.
    • Examples include Bare Bones and popular programming languages.

    Bare Bones Language

    • A simple but universal language.
    • Uses statements like clear name, incr name, decr name, and while name not 0 do.

    The Halting Problem

    • Given any program's encoded version, determine if it will terminate or not.
    • This problem is unsolvable, meaning no algorithm can solve it for every case.

    Public-Key Cryptography

    • Uses key values for encryption and decryption.
    • Public keys are used for encryption, while private keys are for decryption.
    • RSA is a popular algorithm that relies on the assumed difficulty of factoring large numbers.

    Encryption via Knapsack Problem

    • Selects numbers from a set to add up to a target value.
    • Encrypts messages by breaking them into segments, representing each segment as a number, and then selecting values from a list to get a sum that represents the segment.
    • The process involves encoding messages with a specific set of numbers, making it tough for an unauthorized person to decode without the key.

    Easy & Hard Knapsack Problems

    • Easy Knapsack: Each number is larger than the sum of the preceding numbers, making decoding relatively simple.
    • Hard Knapsack: Utilizes three magic numbers for encryption. It creates a list of numbers by multiplying a set of numbers with a magic number, then taking the remainders after dividing by another magic number.

    Modular Arithmetic

    • Replaces integers with their remainders after division by a fixed value, known as the modulus.
    • Two numbers that leave the same remainder when divided by a modulus are considered equivalent modulo that number.
    • Essential in cryptography for building secure encryption methods.

    Encryption Process in the Hard Knapsack Problem

    • The process involves a modulus ‘m’ and multiplicative inverses ‘x’ and ‘y’ in modulo ‘m’.
    • Encrypted messages are decoded using modular arithmetic, which relies on these specific numbers for decryption.

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    Description

    This quiz explores the fundamental concepts of artificial intelligence, including its definitions and the distinctions between AI and human intelligence. Understand how AI operates in comparison to human reasoning and performance in various tasks.

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