Artificial Intelligence & Soft Computing Laboratory Notes
Subject Overview
The practical companion to Artificial Intelligence & Soft Computing, implementing logic programming, search techniques, text processing, perceptron and associative network training, backpropagation, fuzzy set operations, and a genetic algorithm optimization in MATLAB/
Subject at a glance
1
Units
12
Topics
2
Credits
1
Infographics
Unit-wise Syllabus
1 units — open any unit for detailed topic-wise notes, diagrams and important exam questions
- Logic programming for prime numbers and family tree relationships
- puzzle solver
- uninformed and heuristic search implementation
- text tokenization and Bag-of-Words frequency extraction
- text category prediction
- audio signal visualization and generation
- perceptron training with fixed increment learning
- ADALINE/MADALINE AND function implementation
- auto-associative and hetero-associative networks via HEBB and outer product rules
- backpropagation network for 3 epochs
- fuzzy set operations (union, intersection, complement, difference) and max-min composition
- genetic algorithm function maximization over 6 iterations
Perceptron rule
w ← w + η (t − y) x
Hebb rule
Δw = x × y
ADALINE (delta rule)
w ← w + η (t − net) x
Max-min composition
μ(x, z) = max over y of min(μR(x, y), μS(y, z))
Study guide
In this lab you implement logic programming for primes and family relationships, a puzzle solver, uninformed and heuristic search, text tokenisation and bag-of-words, text category prediction, audio visualisation, perceptron training, ADALINE and MADALINE, auto- and hetero-associative networks with Hebb and outer product rules, backpropagation for three epochs and fuzzy logic examples. Test each model with several inputs.
Why Artificial Intelligence & Soft Computing Laboratory Matters
These experiments connect AI theory to working code, useful for projects and interviews.
How to Prepare for Artificial Intelligence & Soft Computing Laboratory
- Understand each algorithm before using libraries.
- Visualise results where possible.
- Record experiments and observations clearly.
Artificial Intelligence & Soft Computing Laboratory: Frequently Asked Questions
What is covered in the AI lab?
Search algorithms, logic programming, NLP basics, neural network implementations and fuzzy logic.