13/07/2018 11:42am
Artificial Consciousness: Is it possible to give a #robot a soul? [LINK]
12/07/2018 6:36pm
RT @DeepMindAI: Measuring abstract reasoning in neural networks - our latest #ICML2018 paper - takes inspiration from human IQ tests to exp…
10/07/2018 2:15pm
Preferential #foraging leads to a better #swarm performance in dynamic environments, provided that information flow… [LINK]
06/07/2018 10:19am
Personalized “deep learning” equips robots for autism therapy @MIT via @Robohub It's so great that through technolo… [LINK]
05/07/2018 8:27pm
Looking forward to presenting our paper on information flow regulation in preferentially #foraging #robot #swarms a… [LINK]

[Inner States In Game Agent Systems]

Games C++ AI Date: Jun 2009

[Bachelors dissertation]

The theoretical part of the project focuses on currently used techniques for obstacle avoidance, task-oriented behaviour and fuzzy logic in the field of games AI. A number of approaches are discussed and evaluated.

The artefact of the project is a strategy game Alien Farm, later developed into Stardust Colonies, where units have an inner state which reflects on their actions. This addresses a problem in most of today's strategies - units behave in the same way and display no reactions to how user plays a game.

Agents in the game use fuzzy logic to evaluate their current state and adjust their behaviour accordingly. The individualised behaviour was evaluated as an interesting feature by a number of players who tested the game.

Other aspects of games intelligence have also been experimented with - including obstacle avoidance in a continuous environment, finite-state machines, task representation and task-oriented behaviour.

Strategy game, life simulation, games artificial intelligence, obstacle avoidance, emotions, inner state, agents, fuzzy logic

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Stardust Colonies

Stardust Colonies is a strategy game in which player-controlled units are aware of and affected by both their own memory and preferences, as well as by their colony's well-being.

A 2D iPhone Game Framework

The project reviews some of the existing design patterns and available algorithms used in iPhone games development. The application created is a template project for a 2D iPhone game.

Procedural Modelling

The paper provides an insight into procedural modelling techniques and uses. Procedural modelling is an alternative approach to modelling when high realism and fast real-time rendering of complex objects is desired.


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.

Information Flow Regulation in Preferentially Foraging Swarms

Swarms are tasked with foraging from multiple sources in dynamic environments where source locations change periodically. Preferential foraging leads to a better swarm performance, provided that information flow among robots, that results from recruitment, is regulated

Robustness of Foraging E-puck Swarms

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.