Learning: Process that Improves the Knowledge of an AI Program by Making Observations about its Environment

This is a computer science engineering quiz on Artificial Intelligence, which includes questions on learning, how learning is used to improve the knowledge of an AI program, etc.

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A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is?

000 or 110 or 011 or 101 010 or 100 or 110 or 101 000 or 010 or 110 or 100 100 or 111 or 101 or 001

Which is true for neural networks?

It has set of nodes and connections Each node computes it’s weighted input Node could be in excited state or non-excited state All of the mentioned

A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. What will be the output?

238 76 119 123

A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

Decision tree Graphs Trees Neural Networks

Decision Tree is a display of an algorithm.

True False

What is Decision Tree?

Flow-Chart Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label None of the mentioned

Choose from the following that are Decision Tree nodes?

Decision Nodes End Nodes Chance Nodes All of the mentioned

Decision Nodes are represented by ____________

Disks Squares Circles Triangles

Factors which affect the performance of learner system does not include?

Representation scheme used Training scenario Type of feedback Good data structures

Which of the following does not include different learning methods?

Memorization Analogy Deduction Introduction

Which of the following is the model used for learning?

Decision trees Neural networks Propositional and FOL rules All of the mentioned

Automated vehicle is an example of ______

Supervised learning Unsupervised learning Active learning Reinforcement learning