# aimacode/aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Repository: https://github.com/aimacode/aima-java
Canonical: https://ross.abutalabs.com/products/aima-java
Language: Java
License: MIT
License Family: permissive
Last push: 2026-06-10T16:38:18+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 8, longevity 100
- inputs: {"age_days": 4192, "days_push": 84, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1617, forks 808 (observed 2026-08-28T04:05:11.960991+00:00)

## What it is
A Java implementation of the algorithms from Russell and Norvig's 'Artificial Intelligence: A Modern Approach' (3rd edition), covering agents, search, logic, and learning. It is intended as a companion for AI courses or self-study, and is also available as a Maven library.

## Use cases
- implement AIMA textbook algorithms in Java
- study artificial intelligence algorithms alongside a course
- experiment with search algorithms like A* and minimax
- build simple intelligent agents like vacuum or reflex agents
- use classic AI algorithm implementations as a Java dependency

## When to choose
- you are teaching or learning from the AIMA 3rd edition textbook
- you want reference implementations of classic AI algorithms in Java
- you need a JVM library of educational AI algorithms

## When to avoid
- you need production-grade, high-performance AI or ML tooling
- you want modern deep learning or LLM capabilities
- you need actively developed features or up-to-date demos

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, search-engine, agent-framework
- domain: artificial-intelligence, education
- platform: jvm, cross-platform
- tags: aima, textbook-algorithms, java, ai-education, search-algorithms, agents, algorithms

## Member repositories
- aimacode/aima-java (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.960991+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:49:44.708155+00:00, confidence not recorded.
  - readme: https://github.com/aimacode/aima-java (fetched 2026-08-28T04:05:11.960991+00:00, sha 9b6df52e3213)
- Data as of 2026-08-30T08:39:29.467469+00:00.