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All Sections

Artificial Intelligence and Multi-Agent Systems

Aims:

The Artificial Intelligence and Multi-Agent Systems Section is dedicated to the core algorithms, theories, and formalisms that constitute the field of AI. This Section aims to publish fundamental research on creating agents that can perceive their environment and take actions to a...

Big Data

Aims:

The Big Data Section is dedicated to the foundational architectures, systems, and methodologies that enable the acquisition, storage, management, and processing of massive-scale datasets. This Section aims to publish research that addresses the significant challenges of volume, ve...

Cognitive System

Aims:

The Cognitive System Section focuses on the design and development of computational systems that emulate high-level human cognitive functions. The aim is to advance machines beyond mere data processing towards capabilities such as reasoning, problem-solving, perception, and semant...

Data Mining and Machine Learning

Aims:

The Data Mining and Machine Learning Section focuses on the algorithms and techniques for discovering patterns, extracting knowledge, and building predictive models from data. This Section aims to showcase research that advances the state-of-the-art in learning from data, from bot...

Large Language Models and Embodied Intelligence

Aims:

The Large Language Models and Embodied Intelligence Section is dedicated to the frontier of AI research: the creation of large-scale, foundational models and their integration into physical or simulated worlds. This Section has two interconnected pillars. First, it focuses on the ...

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Big Data Cogn. Comput. - ISSN 2504-2289