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[Search by tag: Java]

Coding for tomorrow: Why is good code important?

Objective-C Matlab Libraries Java C++ Applications ActionScript Python Web Date: 27/01/2017 :: 0 comments

"Why should I care about how my code is written, as long as it works?" I will argue here that well-structured and well-written code not only saves time on a project, it also helps you to invest your time in a way that is meaningful for your future work.

How Coding in Python Might Be Bad For You

Java C++ ActionScript Date: 10/04/2016 :: 41 comments

7 reasons why coding in Python is like writing a really bad essay and getting away with it

Creeper

Multi-agent systems Libraries Java Games AI Date: 18/09/2013 :: 0 comments

Creeper is a Java MVC framework for those who want to create multi-agent simulations (or games) and need something to build on. Creeper takes care of effective updating and rendering. You only need to specify the world objects and how they should look like.

Creeper Version History

Java Libraries Date: 18/09/2013 :: 0 comments

Creeper version history with the latest updates on Creeper 2.0

Understanding the Role of Recruitment in Robot Foraging

Multi-agent systems Java AI Date: 16/09/2013 :: 0 comments

The ability of a simulated robotic swarm of individualists and a swarm of bee-like communicators to collect resources from various environments is compared.

Do you really need a supercomputer?

Java C++ Date: 25/06/2013 :: 2 comments

So you've decided to use a supercomputer to run your simulations, like Iridis at Southampton Uni. You can just schedule jobs and run them remotely, without having to run them one by one on your machine. Awesome. Well, not always.

Getting Started with Creeper

Tutorials Multi-agent systems Libraries Java Games AI Date: 27/05/2013 :: 0 comments

This tutorial helps you to create your own Java project with Creeper. As an alternative solution, you could simply download Creeper with the Demo project and rewrite class and package names within net.lenkaspace.creeper.demo to suit your own needs.

Controlling Ant-Based Construction

Multi-agent systems Java Simulation models Date: 02/04/2013 :: 0 comments

Stigmergy allows insect colonies to collectively build structures that no single individual is fully aware of. Since relatively minimal sensory and reasoning capabilities are required of the agents, such building activity could be utilised by robotic swarms if we could learn how to control the shape of the final structures.

Boid Game-Playing through Randomised Movement

Multi-agent systems Java AI Simulation models Date: 22/10/2012 :: 0 comments

The original boid flocking algorithm is extended by adding randomised movement to the flock members. This approach is a light-weight alternative to other ‘follow the leader’ techniques implemented in order to create a ‘game-playing’ behaviour during which a flock changes its movement direction as observed in real birds.

Ultrastable Neuroendocrine Robot Controller

Neural networks Java AI Simulation models Date: 15/08/2011 :: 0 comments

Attributes of ultrastability as an adaption mechanism in a hormone-modulated neural robot controller were investigated in a simulation. Action-selection based on hormone-driven utilities of memory items was used to alternate between mineral gathering and recharging.

Neural Networks and the Evolution of Cooperation

Neural networks Java AI Simulation models Date: 16/01/2011 :: 0 comments

The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using a number of player implementations. Existing strategy encoding and neural network models are compared with action-discriminating neural network created during writing of this paper.

pyCreeper

The main purpose of pyCreeper is to wrap tens of lines of python code, required to produce graphs that look good for a publication, into functions. It takes away your need to understand various quirks of matplotlib and gives you back ready-to-use and well-documented code.

Novelty detection with robots using the Grow-When-Required Neural Network

The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS robot simulator.

Fast Data Analysis Using C++ and Python

C++ code that processes data and makes it available to Python, significantly improving the execution speed.

Designing Robot Swarms

This project looks at the challenges involved in modeling, understanding and designing of multi-robot systems.

Robustness in Foraging E-puck Swarms Through Recruitment

Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON positioning system. Recruitment can make swarms more robust to noise in robot global positioning data.