DVA_265_LAB

This repository contains solutions to all lab exercises from the DVA-265 Artificial Intelligence 2 (AI2) course at MDU. The labs were completed using Prolog and Python, where applicable, demonstrating foundational concepts in logic programming, knowledge representation, and expert systems. In addition to the implementation of Evolutionary Algorithms and Multi-Agent Systems (MAS).

🧪 Labs Summary

The labs are based on the official course material: AI2 Course Overview VT25 (v0.2), and cover topics such as:

✅ LAB 1: Introduction to logic programming

• Simple queries and facts
• Important predicates in Prolog
• Arithmetic operations for Peano Numbers

✅ LAB 2: Relationships and Expert Systems

• Bird Identification System
• Trace predicate

✅ LAB 3: EA and optimisation

• Genetic Algorithm

✅ LAB 4: EA and artificial agents for planning

• Scheduling problems
• Multi-Agent System

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Requirements

• SWI-Prolog
• Python