MOBM v2.0: Modular Oscillatory Basin Mapper. A Modular Platform for Mapping Landscapes in Large Combinatorial Spaces

MOBM (Modular Oscillatory Basin Mapper) v2.0 is a modular research platform designed for the systematic mapping of massive combinatorial spaces. Moving beyond traditional optimization, which focuses on finding a single global optimum, MOBM introduces a paradigm of "algorithmic cartography"—identifying multiple stable local optima, discovering their relationships, and revealing internal flow structures. Key Pillars of MOBM v2.0: Mapping over Optimization: Systematic identification of basins of attraction and landscape topology instead of simple point-seeking. Full Modularity: A platform architecture that allows independent teams to develop, share, and swap exploration modules through a DSL-based coordinator. Scalability for Massive Spaces: Engineered for navigation in high-dimensional landscapes where traditional methods fail. Relational Analysis: The unique ability to operate in spaces without a global scalar objective function, using contextual and relational dependencies to guide exploration. Symbiotic Hybridization: Designed to act as a bridge for other technologies—providing diverse starting points for Genetic Algorithms (GA) and generating unstructured, high-quality training data for Large Language Models (LLMs). By decoupling the exploration strategy from problem-specific sensors, MOBM v2.0 offers a universal framework for understanding the internal topology of complex systems, providing the "legs and eyes" for advanced AI decision systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-24
DOI
https://doi.org/10.5281/zenodo.18206659
Primary Topic
Slime Mold and Myxomycetes Research
Type
article
Field-Weighted Citation Impact
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article

MOBM v2.0: Modular Oscillatory Basin Mapper. A Modular Platform for Mapping Landscapes in Large Combinatorial Spaces

Arkadiusz Kondratowicz
Zenodo (CERN European Organization for Nuclear Research)
Slime Mold and Myxomycetes Research
article

MOBM v2.0: Modular Oscillatory Basin Mapper. A Modular Platform for Mapping Landscapes in Large Combinatorial Spaces

Arkadiusz Kondratowicz
article en

Abstract

MOBM (Modular Oscillatory Basin Mapper) v2.0 is a modular research platform designed for the systematic mapping of massive combinatorial spaces. Moving beyond traditional optimization, which focuses on finding a single global optimum, MOBM introduces a paradigm of "algorithmic cartography"—identifying multiple stable local optima, discovering their relationships, and revealing internal flow structures. Key Pillars of MOBM v2.0: Mapping over Optimization: Systematic identification of basins of attraction and landscape topology instead of simple point-seeking. Full Modularity: A platform architecture that allows independent teams to develop, share, and swap exploration modules through a DSL-based coordinator. Scalability for Massive Spaces: Engineered for navigation in high-dimensional landscapes where traditional methods fail. Relational Analysis: The unique ability to operate in spaces without a global scalar objective function, using contextual and relational dependencies to guide exploration. Symbiotic Hybridization: Designed to act as a bridge for other technologies—providing diverse starting points for Genetic Algorithms (GA) and generating unstructured, high-quality training data for Large Language Models (LLMs). By decoupling the exploration strategy from problem-specific sensors, MOBM v2.0 offers a universal framework for understanding the internal topology of complex systems, providing the "legs and eyes" for advanced AI decision systems.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 92%
Slime Mold and Myxomycetes Research
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