Artificial Intelligence · Unit 1
Foundations of Artificial Intelligence
Exam-focused notes for Foundations of Artificial Intelligence (Artificial Intelligence, BIT252): what the TU syllabus asks and how it has actually been tested, with 9 solved past questions from this unit.
What this unit covers
- Definition and scope of artificial intelligence
- Turing test and machine intelligence
- Intelligent agents and rational agents
- PEAS framework for agent description
- Agent types and architectures
- Applications of artificial intelligence
Turing test and machine intelligence
What is artificial intelligence? State Turing Test. [5]
Artificial Intelligence (AI) is the branch of computer science that deals with the design and development of computer systems capable of performing tasks that normally require human intelligence. These tasks include: - Reasoning and problem solving - Learni...
Full solved answer →List the properties that a machine must have to pass the Turing Test.Describe the ambiguities in each step in Natural Language Processing.[4+6]
Note: The reference notes did not contain material for this topic. The answer below is based on standard AI/NLP curriculum content as taught in BSc CSIT programs, consistent with Russell & Norvig's Artificial Intelligence: A Modern Approach, which is the st...
Full solved answer →Does Turing test is sufficient to test the intelligence of machine? Justify your opinion. [5]
The Turing Test, proposed by Alan Turing in 1950, states that a machine can be considered intelligent if a human interrogator, communicating through text, cannot distinguish the machine's responses from those of a human. If the machine successfully fools th...
Full solved answer →PEAS framework for agent description
What is intelligent agent? Construct PEAS framework a particle picking robot. [1+4]
An intelligent agent is anything that can perceive its environment through sensors and act upon that environment through actuators in order to achieve its goals. An intelligent agent takes the best possible action based on its percepts, built-in knowledge, ...
Full solved answer →Define agent. How do you describe PEAS for an agent? Describe the different types of environment with example.[10]
--- An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators. "An agent is an entity that perceives its environment through sensors and acts upon that environment through actuat...
Full solved answer →List the PEAS description for autonomous taxi driving system. Describe the different types of environments for agent with example.[10]
--- PEAS stands for Performance Measure, Environment, Actuators, and Sensors. It is a framework used to describe the task environment of an intelligent agent. Component Description ------------------------ P - Performance Measure Safe driving, reaching dest...
Full solved answer →Agent types and architectures
Differentiate between goal based agent and utility based agent. [5]
--- A goal-based agent is an agent that acts to achieve a specific goal state. It uses information about its current state and a defined goal to decide which actions to take. - The agent knows what goal to achieve - Actions are evaluated as either achieving...
Full solved answer →Distinguish between simple reflex agent and model based agent. [5]
--- A simple reflex agent selects actions based only on the current percept, ignoring the entire percept history. It works on a simple condition-action rule: If condition then action - It has no memory of past states. - It assumes the environment is fully o...
Full solved answer →Intelligent agents and rational agents
What is rational agent? List some applications of AI. [5]
A rational agent is an entity that perceives its environment through sensors and acts upon that environment through actuators in order to maximize its expected performance measure. In other words, a rational agent always selects an action that is expected t...
Full solved answer →Make Unit 1 stick
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