Reader Cbr -

SIMILARITY: brand: euclidean_symbolic year: linear (max_diff=20) price: inverse_distance

Here’s a full, technical write-up on — a command-line tool for inspecting and validating CBR (Case-Based Reasoning) knowledge bases, commonly used in expert systems and AI research. reader cbr – CBR Knowledge Base Inspection Tool 1. Overview reader cbr is a command-line utility designed to parse, validate, and display the contents of a CBR knowledge base file . It is primarily used in academic and research-oriented CBR systems (e.g., myCBR, jColibri, or legacy CBR shells). The tool helps developers and knowledge engineers verify case structure, attribute types, similarity measures, and retrieval performance directly from the terminal. 2. Syntax reader cbr [OPTIONS] <filename.cbr> 3. Input File Format ( .cbr ) The .cbr file typically follows a structured plain-text or XML-based format. Example structure: reader cbr

DOMAIN: car-diagnosis ATTRIBUTES: - brand: symbolic - engine_noise: symbolic - year: integer - price: float - is_electric: boolean CASES: case1: brand=tesla, engine_noise=quiet, year=2022, price=45000.0, is_electric=true case2: brand=bmw, engine_noise=loud, year=2019, price=32000.0, is_electric=false It is primarily used in academic and research-oriented

Case count: 2 Missing values: 0 Attribute 'brand': unique values [tesla, bmw] Price range: 32000.0 – 45000.0 $ reader cbr car_diagnosis.cbr --query "brand=tesla year=2021 price=40000" Output: Syntax reader cbr [OPTIONS] <filename