Theory

Introduction In my previous post I wrote about the cognitive architecture ACT-R, mainly putting together what I learnt by research over the topic. In this post, I would like to go more in depth about how ACT-R works, the concepts behind and try to provide my interpretation of some technical examples, regarding coding of the modeling and everything related. What really is ACT-R ACT-R is a production system theory that tries to explain human cognition by developing a model of the knowledge structures that underlie cognition....

Introduction I’ve always been fascinated about cognitive systems and all the theories about them. Unfortunately, I never had the chance to actively work on a cognitive architecture: making experiments over these technologies is difficult because it’s difficult to me even only think about some possible toyproblem to solve. So this article is more about the basics, or at least what I found interesting about the topic. ACT-R One of the most famous cognitive architecture is ACT-R: ACT-R a....

Much more than a post What is the quantum theory? As said by quantumexperience official site by IBM, it’s an elegant mathematical theory able to explain the counterintuitive behavior of subatomic particles, most notably the phenomenon of entanglement. In the late twentieth century it was discovered that quantum theory applies not only to atoms and molecules, but to bits and logic operations in a computer. This realization has been bringing about a revolution in the science and technology of information processing: I decided to write some notes to better explain, from a physics-agnostic computer scientist’s point of view XD, what I understood - and it is certainly wrong - about Q until now and why I think it’s an amazing field for computer science....

A journey through the network - Layer 2 A month ago I started to wrote some posts about the network. For those who missed the previous posts, the introduction and the physycal layer. For the previous post I had to go into details about how some parts of the physical layer work but, by going forward with the layers, concepts belonging to separate historical standards - OSI and IP - will intertwine and this entails some troubles from a logical point of view....

Preamble Recently I became nostalgic and fascinated with stuff from the past, so I decided to create a Vagrantfile to work with FreeBSD1. Why FreeBSD? Because as a developer, I really like Docker and I started looking in the past to find its historical birth: in fact, as a concept, Docker is no so recent as you think, and I think it exists also because of the works of some other bigs from 80’, such as Poul-Henning Kamp2....

A journey through the network - Layer 1 Before the Christmas holidays, I wrote an article about the network: yes. The network is that part of computer science that is no longer considered fundamental as it should, and I must admit that I learn it every day at my expense: as an old friend always says to me “the network is the concept on which everything is based, describes how the body works: after that, you can also become a gastroenterologist, but you will always need to know how the body works”....

A journey through the network - Introduction During the last year I understood one thing: sooner or later everyone should review network notions, so I decided to start writing articles about network fundamentals. As a main source I would use Computer Networks and TCP/IP Illustrated. In this article, I will talk about two important network architectures: the OSI reference model and the TCP/IP reference model. These two model has opposite characteristics, in particular:...

History We can date the birth of artificial neural networks in 1958, with the introduction of Perceptron 1 by Frank Rosenblatt. It was the first algorithm created to reproduce the biological neuron. Conceptually, the easier perceptron that you might think of is made of a single neuron: when it’s exposed to a stimulus, it provides a binary response, just as would a biological neuron. This model differs greatly from the neural network involving billions of neurons in a biological brain....

Why Java why now I recently followed a course1 on YouTube by Adib Saikali (NewCircle Instructor) about the key features introduced in Java > 8: it’s an old post regarding old stuff but…I collected some notes (mainly because I need to write down what I’m listening to to stay focused and learn new concepts) that I decided to share with you. This is to say, this post is for every one that had put aside Java for a while and is now looking for a quick overview of the key aspects - exactly like me some weeks ago - to improve his abilities in coding, taking advantage of the old (n....