$1)$ The Turing test was designed as a: human behavior experiment, human speaking experiment, tool to achieve options results, thought experiment, none of the above

$2)$ To Pass a Total Turing test, a machine will need:

a$)$ robotics, natural language processing, and machine learning

b$)$ robotics, natural language processing, computer vision, knowledge representation, and machine learning

c$)$ automated reasoning, computer vision, knowledge representation, and machine learning

d$)$ natural language processing, automated reasoning. knowledge representation, and machine learning

e$)$ automated reasoning, natural language processing, computer vision, knowledge representation, robotics, and machine learning

$3)$ According to your textbook, which approach to Al prevailed throughout Al history:

a$)$ standard model approach

b$)$ the cognitive modelling approach

c$)$ the "laws of thought" approach

d$)$ the turing test approach

e$)$ machine learning approach

$4)$ The first Al algorithm based on logical reasoning was proposed by:

a$)$ Newell and Simon when they developed a General Problem Solver program

b$)$ Ramon Llull

c$)$ Aristotle

d$)$ David Hume

e$)$ Leonardo da Vinci

f$)$ Rudolf Carnap

$5)$ Currently, as per the $"2023$ Al Index Report", the most popular category of Al research is:

a$)$ Computer Vision

b$)$ Natural Language Processing

c$)$ Machine Learning

d$)$ Pattern Recognition

e$)$ Data Mining

f$)$ Algorithm Development

g$)$ None of the Above

h$)$ All of the a to f

$6)$ Select the correct relationships between various Al fields:

a$)$ machine learning is a subfield of deep learning and deep learning is a field of Al

b$)$ deep learning is a subfield of machine learning and machine learning is a field of Al

c$)$ pattern recognition is a subfield of machine learning and machine learning is a field of Al

d$)$ big data is a field of deep learning, and deep learning is a subfield of machine learning

e$)$ Bayesian networks is a field of probabilistic reasoning and probabilistic reasoning is a field of propositional logic

$7)$ What are the key components of a rational agent:

a$)$ percept, environment, actions, sensors and actuators

b$)$ environment, sensors$,$ and actuators

c$)$ percept sequence, an action, agent function, agent's built$-$in knowledge

d$)$ performance measure, agent's built$-$in knowledge, and action

e$)$ an action, agent's built$-$in knowledge, and neural network

$8)$ In Al$,$ an agent program implements only

a$)$ a convolutional neural network

b$)$ a Bayesian network

c$)$ a hidden markov model

d$)$ a mapping algorithm that maps percepts to actions

e$)$ all of the above

f$)$ none of a to d

$9)$ Four basic types of Al agents that embody the principles underlying almost all intelligent systems are:

a$)$ software agents, hardware agents, utility$-$ based agents and simple reflex agents

b$)$ software agents, model$-$based reflex agents, utility$-$based agents and simple reflex agents

c$)$ software agents, hardware agents, goal based agents and simple reflex agents

d$)$ model$-$based reflex agents, hardware agents, utility$-$based agents and simple reflex agents

e$)$ model$-$based reflex agents, goal based agents, utility$-$based agents and simple reflex agents

$10)$ Various ways that the components of an rational agent can represent the environment that the agent inhabits:

a$)$ Atomic, Non$-$Atomic, Structured and Non$-$structured

b$)$ Atomic. Factored and Structured

c$)$ Robust, Persistent, Factored and Structured

d$)$ Durability, Consistency, Atomic and Factored

e$)$ atomicity, consistency, isolation, and durability