Ergodic hypothesis
The ergodic hypothesis is often assumed in the statistical analysis of computational physics. The analyst would assume that the average of a process parameter over time and the average over the statistical ensemble are the same. This assumption that it is as good to simulate a system over a long time as it is to make many independent realizations of the same system is not always correct. (See, for example, the Fermi–Pasta–Ulam experiment of 1953.)
DARPA SyNAPSE Program
Last updated: Jan 11, 2013 SyNAPSE is a DARPA-funded program to develop electronic neuromorphic machine technology that scales to biological levels. More simply stated, it is an attempt to build a new kind of computer with similar form and function to the mammalian brain. Such artificial brains would be used to build robots whose intelligence matches that of mice and cats. SyNAPSE is a backronym standing for Systems of Neuromorphic Adaptive Plastic Scalable Electronics.
Of knowing and the unknown
While yesterday's closing session at IRAHSS13 was creating on the move today's had more preparation. On day two I have lived through day one and have a sense of the overall structure of what I want to say to bring the whole event to an end. The overall theme was knowledge, what we know, what we can know and what we may not want to know (Slide 14 in the now combined slide set) with which I opened. I was also reacting to some of the earlier speakers in particular one opposed to the use of unfamiliar language and the advocacy of the east v western thinking dichotomy. Said dichotomy was made in a otherwise brilliant (for me the highlight of the whole event) presentation by a young Chinese academic. It seems to be part of the new Chinese narrative, namely that they represent holistic thinking, the west atomistic.
Multiverse (religion)
In religion a multiverse is the concept of a plurality of universes. Some religious cosmologies propose that the cosmos is not the only one that exists. The concept of infinite worlds is mentioned in the Apannaka Jataka:
A Non-Mathematical Introduction to Using Neural Networks
The goal of this article is to help you understand what a neural network is, and how it is used. Most people, even non-programmers, have heard of neural networks. There are many science fiction overtones associated with them.
Modal realism
The term possible world[edit] The term goes back to Leibniz's theory of possible worlds, used to analyse necessity, possibility, and similar modal notions. In short: the actual world is regarded as merely one among an infinite set of logically possible worlds, some "nearer" to the actual world and some more remote. A proposition is necessary if it is true in all possible worlds, and possible if it is true in at least one. Main tenets of modal realism[edit] At the heart of David Lewis's modal realism are six central doctrines about possible worlds:
Collective Intelligence in Neural Networks and Social Networks « 100 Trillion Connections
Context for this post: I’m currently working on a social network application that demonstrates the value of connection strength and context for making networks more useful and intelligent. Connection strength and context are currently only rudimentarily and mushily implemented in social network apps. This post describes some of the underlying theory for why connection strength and context are key to next generation social network applications. A recent study of how behavioral decisions are made in the brain makes it clear how important strengths of connections are to the intelligence of networks.
Robot Tutorials
DPRG Events Shoptalk Support the DPRG We need your help to keep going! Click the button to find out how you can help support our work! Website design and hosting by NCC
Learning and neural networks
Artificial Intelligence: History of AI | Intelligent Agents | Search techniques | Constraint Satisfaction | Knowledge Representation and Reasoning | Logical Inference | Reasoning under Uncertainty | Decision Making | Learning and Neural Networks | Bots An Overview of Neural Networks[edit] The Perceptron and Backpropagation Neural Network Learning[edit] Single Layer Perceptrons[edit] A Perceptron is a type of Feedforward neural network which is commonly used in Artificial Intelligence for a wide range of classification and prediction problems. Here, however, we will look only at how to use them to solve classification problems.
Basic Robotics Tutorials Overview
The basic robotics tutorials help you getting started writing the very first service for a robot. The tutorials take the programmer from getting input from a single sensor to control an actuator to being able to write a, drive-by-wire, application where the robot will move around. Robotics Tutorial 1 - Accessing a Service Understanding how to use services is a key to the Decentralized Software Services programming model. This tutorial starts off with how to access a service for a simple sensor.
neuralview [OProj - Open Source Software]
Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams! Sign up for freeClose NeuralView is a graphical interface for FANN 1, making possible to graphically design, train, and test artificial neural networks.
Adaptive Mapping and Navigation with iRobot Create
Now for the mapping you've been waiting for. We are going to do something much more advanced called the Wavefront algorithm. Upload this code to your Create:iRobot_Create_wave_front.zip September 9th, 2007 The wavefront basically discretizes the surroundings and records locations of objects. The attached image of my kitchen is a good visualization of it. In the source code look for a matrix called 'map'.
