Artificial Intelligence Quiz: Key Concepts

<p>To use stored information to answer questions. (D)</p> Signup and view all the answers

<p>Computer vision (C)</p> Signup and view all the answers

<p>A beehive (C)</p> Signup and view all the answers

<p>He fell into the river. (D)</p> Signup and view all the answers

<p>The Acting humanly approach (A)</p> Signup and view all the answers

<p>Memory and simulation are crucial for decision-making. (B)</p> Signup and view all the answers

<p>Acting humanly (D)</p> Signup and view all the answers

<p>Neural networks (B)</p> Signup and view all the answers

<p>Achieving optimal decision-making (B)</p> Signup and view all the answers

<p>Emotional influences (D)</p> Signup and view all the answers

<p>Helping machines solve complex problems in a human-like manner (C)</p> Signup and view all the answers

<p>Early enthusiasm, great expectations (1952–1969) (D)</p> Signup and view all the answers

<p>Deep learning (C)</p> Signup and view all the answers

<p>Create a multi-dimensional theoretical physics model (D)</p> Signup and view all the answers

<p>By enhancing their ability to assist in solving complex human problems (C)</p> Signup and view all the answers

<p>Internal thought processes versus external intelligent behavior (C)</p> Signup and view all the answers

<p>To assess whether machines can think like humans. (D)</p> Signup and view all the answers

<p>Translating spoken Chinese into spoken English in real time (C)</p> Signup and view all the answers

<p>Emotional understanding (A)</p> Signup and view all the answers

<p>Can machines think and what does this imply about humans? (D)</p> Signup and view all the answers

<p>The objective provided to the agent. (C)</p> Signup and view all the answers

<p>Programs capable of solving any solvable problem described in logical notation. (D)</p> Signup and view all the answers

<p>It acts to achieve the best expected outcome. (D)</p> Signup and view all the answers

<p>The theory of probability (A)</p> Signup and view all the answers

<p>Emotional cognition (B)</p> Signup and view all the answers

<p>Maximizing expected utility (A)</p> Signup and view all the answers

<p>Philosophy (C)</p> Signup and view all the answers

<p>By modeling low level human/animal brain activity (D)</p> Signup and view all the answers

<p>Random number generating (A)</p> Signup and view all the answers

<p>Biased decision making (B)</p> Signup and view all the answers

<p>Control Theory (D)</p> Signup and view all the answers

<p>Making decisions independently of others (C)</p> Signup and view all the answers

<p>Linguistics (B)</p> Signup and view all the answers

The Turing Test evaluates if a machine can exhibit intelligent behavior indistinguishable from a human.

The cognitive modeling approach attempts to understand how humans think by building computer models of human cognitive processes.

The "laws of thought" approach focuses on creating AI systems that can reason logically using formal systems of logic.

The rational agent approach focuses on designing AI systems that can act rationally in their environment to achieve goals.

Artificial intelligence (AI) is a field of computer science that aims to create machines capable of performing tasks that typically require human intelligence, such as problem solving, learning, and decision-making.

The ability of a machine to think, reason, and learn like a human. Often associated with the question: "Can machines really think?"

The study of AI focuses on developing computer systems that can learn from data, adapt to new situations, and make decisions based on their understanding of the world. This field is constantly evolving, with new breakthroughs occurring regularly.

The early period of AI research (1943-1956) was marked by foundational concepts, such as the Turing Test, and the establishment of key principles.

This period (1952-1969) was characterized by optimism and high expectations for AI's potential.

The period from 1966 to 1973 saw a more realistic understanding of AI's limitations and challenges.

This era (1969-1986) focused on developing "expert systems" – programs designed to perform tasks in specific domains, like medical diagnosis or financial analysis.

Neural networks, inspired by the structure of the human brain, experienced a revival in the 1980s and continue to be a major area of AI research.

A system that perceives, reasons, and acts, aiming to achieve the best outcome in a given situation. It uses knowledge and reasoning to make decisions and take actions, often in a dynamic or uncertain environment.

The ability to understand and communicate with humans through natural language, like English or Spanish.

The ability to represent and store knowledge in a way that can be easily accessed and reasoned upon.

The ability of a machine to adapt its behavior to changing circumstances and learn from new experiences.

Acting rationally involves making choices that maximize the chances of achieving desired goals, given limitations and uncertainties.

A decision is considered rational when it maximizes the achievement of pre-defined goals, regardless of the thought process behind it.

Utility represents the value or desirability of different outcomes. It's a measure of how much an outcome is preferred.

A set of capabilities required for a machine to reason logically and draw conclusions like humans. Includes natural language processing, knowledge representation, automated reasoning, and machine learning.

The goal of a rational agent is to maximize its expected utility. This means choosing the actions that are most likely to lead to the outcomes with the highest utility.

AI draws inspiration from various fields, including philosophy, mathematics, economics, neuroscience, cognitive science, computer engineering, and control theory.

A Turing Test is a test proposed by Alan Turing to assess if a machine exhibits intelligent behavior indistinguishable from a human's. It requires the machine to communicate effectively in natural language, store information, reason, and learn.

The ability to perceive the world like a human, including sight, hearing, and object manipulation. These capabilities are essential for a machine to interact with its environment realistically.

Philosophy explores how reasoning works and how the human mind emerges from the physical brain.

A rational agent is an artificial intelligence system designed to achieve the best possible outcome in any given situation. It acts based on predefined goals and seeks the most beneficial actions to reach those goals.

Mathematics provides the formal rules for logic and computation, enabling AI systems to reason and solve problems.

Economics studies how individuals make decisions in the face of limited resources and preferences. This helps AI design agents that make sound decisions.

This refers to the approach of building AI systems by focusing on their actions rather than their internal thought processes. The primary goal is to create AI that can effectively perform tasks and interact with the world.

Neuroscience investigates how the brain processes information, informing AI development by providing insights into biological brains.

It's a general paradigm in AI that emphasizes creating agents capable of making decisions based on achieving optimal outcomes. It's widely used in various AI applications and systems.

These are computer programs designed to operate autonomously in an environment, perceive changes, adapt to new situations, and pursue defined goals.

The study and construction of agents that perform the right actions to achieve goals. This involves defining the objective and building agents that can make optimal choices towards achieving it.