Search Results for "learning classifier system" - Page 37

...With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. ...

ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.

The Local Content Server transforms Plone into a robust Learning Object Repository. It supports IMS content package transport, content preview, and object identification and registration.

Mipscope is a cross-platform IDE for students learning assembly on the MIPS architecture. The focus is on a convenient debugging environment, including a visual, reversible debugger.

This is a teaching aid for students learning the tools and techniques, such as Forte and Interval Vector Analysis, utilized in the analysis of music of the modern era, dating from the 20th century to present.

The project is a case implemntation for a Multiple Agent Web Based System. The case is concerned with Teaching and Learning.

VocabTrainer is an freeware, open-source python-based system to aid in learning new languages. It is the ideal companion to a language class or course.

SCTMF is an in development progress software aimed to educational learning of Formal Models, used in Computer Theory course. The meaning of SCTMF is Sistema para Criação e Testes de Modelos Formais (Formal Model Creation and Tests System).

...The model supports a 1 million token context window, enabling it to maintain coherence across long workflows involving thousands of tool calls and multi-step reasoning chains. Architecturally, it uses a hybrid attention system combining Sliding Window Attention and Global Attention to significantly reduce memory usage while preserving long-context performance. It also integrates multi-token prediction modules that accelerate inference and improve reinforcement learning efficiency. Trained on around 27 trillion tokens with FP8 mixed precision and refined through supervised fine-tuning, large-scale agentic reinforcement learning, and distillation.

eyeEdu is a web-based desktop (built from the eyeOS project), redesigned for the use of kids. Many applications are included that combine learning and fun, along with an intuitive kid-friendly interface.

A graphical, interactive, multimedia-rich text reader integrated with computer text-to-speech whose level of focus, complexity, and detail is adjustable according to the user's needs. Suitable for users with learning disabilities: i.e. dyslexia.

PHP-based, modular Content Management System with a short learning curve. Can embed the Serendipity blog engine and allow distribution of blog categories over multiple pages (or even multiple sites), has a photo gallery module and is easily extensible.

...The RELICS concept is unprecedented as it is the first system of its kind, and stands in a class alone. It is not finished concept, but a vision that will be shaped by future participants.