bosskamagic 0.1.0

AI algorithms collection: Genetic algorithms for 8-Queens and TSP, plus propositional logic and Bayes theorem implementations

BossKaMagic

A comprehensive Python package containing AI algorithm implementations including genetic algorithms, propositional logic solvers, and Bayes theorem applications.

Features

🧬 Genetic Algorithms

• 8-Queens Problem Solver: Genetic algorithm implementation to solve the classic 8-Queens puzzle
• Traveling Salesman Problem (TSP): Genetic algorithm for finding optimal routes

🧠 Logic & Probability

• Propositional Logic: Complete logical operators (AND, OR, NOT, IMPLIES, BICONDITIONAL) with truth tables
• Logic Solver: Truth table generation, resolution theorem proving, and DPLL satisfiability checking
• Bayes Theorem: Conditional probability calculations and medical diagnosis examples
• Naive Bayes Classifier: Simple implementation for classification tasks

Installation

pip install bosskamagic

Quick Start

Genetic Algorithm - 8 Queens

from bosskamagic.eight_queens_genetic import SimpleQueensGA

# Solve 8-Queens problem
solver = SimpleQueensGA()
solution = solver.solve()
print(f"Solution found: {solution}")

Genetic Algorithm - TSP

from bosskamagic.tsp_genetic import City, SimpleTSPGA

# Create cities
cities = [
    City("A", 0, 0),
    City("B", 1, 2),
    City("C", 3, 1),
    City("D", 2, 3)
]

# Solve TSP
tsp_solver = SimpleTSPGA(cities)
best_tour, best_distance = tsp_solver.solve()
print(f"Best distance: {best_distance}")

Logical Operators

from bosskamagic.logic_and_bayes import LogicalOperators

# Use logical operators
result = LogicalOperators.AND(True, False)
print(f"True AND False = {result}")

# Print truth tables
LogicalOperators.print_truth_table_basic()

Bayes Theorem

from bosskamagic.logic_and_bayes import BayesTheorem

# Calculate conditional probability
prob = BayesTheorem.conditional_probability(0.8, 0.1, 0.05)
print(f"Posterior probability: {prob}")

# Run medical diagnosis example
BayesTheorem.medical_diagnosis_example()

Modules

• eight_queens_genetic: Genetic algorithm for 8-Queens problem
• tsp_genetic: Genetic algorithm for Traveling Salesman Problem
• logic_and_bayes: Propositional logic and Bayes theorem implementations

Requirements

• Python >= 3.7
• random2 >= 1.0.1

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

Your Name - [e-mail]

Keywords

genetic-algorithm, artificial-intelligence, 8-queens, tsp, traveling-salesman, propositional-logic, bayes-theorem, machine-learning