This course takes the core assumption that human cognition is a computational process, implemented in neural hardware. It provides the skills for studying the cognitive processes and representations underlying human thought, knowledge and behaviour through computational models and techniques. Thesis focused on whether search strategies employed in social decision making affect honest outcomes.
The course focused on the broader field of computer science with modules specializing in artificial intelligence and digital music. Dissertation looked at whether natural language content of a webpage could inform an appropriate music choice in a music recommender system.
Analysis of mixed length time series data using dynamic time warping and agglomerative clustering. Modelling information search patterns across honest and dishonest outcomes.
A browser copilot that determines that extracts the current content of the browser and a uses local LLM instance to determine it’s relevancy against a given intention.
An exploration into using HTML content for the context of automatic playlist generation.
Shazam client for Linux. Key contributor, developing the interface with new favourites function.