Did an flowchart of Tummi v0001 based on an meme structure encoded in RDF and queried via SPARQL, note that the system is interlingual with an memepool as base knowledge graph connected via dictionaries with an lexis.
Here an overview of other meme machines...
*** updated on 2023-08-16 ***
2023 - Roadmap update for Epsilon and Pi engine.
2021 - Roadmap update for Epsilon I, II, III, IV.
2020 - Roadmap for Tummi, Tummii and Tumiii.
2019 - Tummi v0001 pdf flowchart published.
2019 - Blog online.
2018 - Blueprint of an interlingual meme machine based on knowledge graphs
bootstrapped with human expert knowledge but able to parse content
2018 - Project reopened, Watson didn't make it.
2011 - Project canceled, IBM's Watson wins in Jeopardy.
2010 - First prototype with an simple ontology as knowledge graph.
2008 - Convinced that RDF/SPARQL offer enough flexibility for an meme machine.
2008 - Experiments with neural networks and RDF/SPARQL.
2005 - Experiments with AIML.
2004 - Inspired by Kiwi Logic's virtual agents.
2003 - Convinced that an meme machine could answer IT HelpDesk emails.
2001 - Experiments with OOP and meme replication.
2001 - Journey starts, inspired by 'The Meme Machine' by Susan Blackmore who
introduces the idea of artificial meme machines.
*** updated on 2021-12-20 ***
This blog is about Tummi, my attempt to create an artificial meme machine that is able to parse content in natural language and answer questions in natural language.
The last time I started such a hobby project it took me about 10 years to get into the techniques and understand the underlying principles. So maybe anno 2028 I will be able to judge if this blog was a foolish idea or not.
The name Tummi is derived from 'The Meme Machine' by Susan Blackmore and 'The Ultimate Machine' by Claude Shannon.