1. Introduction to Evolutionary Intelligence / Computation Evolutionary Computation (EC) stands as a significant and dynamic subfield within the broader domain of Artificial Intelligence. It is often categorized under the umbrella of Computational Intelligence (CI), alongside other biologically or naturally inspired paradigms such as Artificial Neural Networks (ANNs) and Fuzzy Systems. While the term "Evolutionary Intelligence" (EI) is sometimes encountered, particularly in

Large Language Models (LLMs) like ChatGPT and image generators like Midjourney showcase capabilities that often feel like genuine comprehension. However, beneath this impressive facade often lies a significant limitation: shallow understanding . AI, particularly in its current dominant form (deep learning), often operates on sophisticated pattern matching rather than deep, human-like comprehension of the world . This article looks into what shallow understanding in AI means

Artificial Intelligence has made remarkable strides, demonstrating remarkable capabilities in specific tasks, from game playing to image generation and recognition. Much of this success relies on probabilistic reasoning – quantifying uncertainty based on available data. AI models learn patterns and predict outcomes with associated confidence levels. This is akin to calculating the odds at a roulette table; the outcomes are unknown, but the probabilities are well-defined. Th

I. Introduction: A. The Evolving Landscape of Multi-Agent Systems Multi-Agent Systems (MAS) represent a significant area within...

The field of Machine Learning (ML) has witnessed remarkable progress over the past decades, largely propelled by the success of deep neural networks (DNNs). These models have achieved state-of-the-art performance across a wide spectrum of tasks, from image recognition and natural language processing to complex game playing and beyond. However, despite their triumphs, DNNs exhibit certain limitations that motivate the exploration of alternative computational paradigms. Concern

Time, often conceived as a fundamental, objective dimension of the physical universe ticking forward with metronomic regularity, reveals itself upon closer inspection to be a profoundly subjective and cognitively constructed aspect of human experience. While clocks measure duration with impersonal precision, our internal sense of time stretches and compresses, influenced by emotion, attention, memory, and perhaps most intriguingly, the very language we use to describe it. Hu

Intelligence, broadly defined as the capacity to learn from experience, adapt to novel situations , solve problems, and shape one's...

Artificial Intelligence is rapidly permeating diverse aspects of modern life, influencing sectors from healthcare and finance to entertainment and transportation. Its increasing sophistication promises transformative potential, automating tasks, augmenting human capabilities, and offering new modes of problem-solving. However, this rapid integration is accompanied by growing ethical scrutiny. Concerns regarding fairness, accountability, transparency, bias, and the broader soc