Artificial Intelligence, Bots and Non Player Characters
About this course
- Course code:
- Professional/Short Course
- Education and Childhood
Page last updated 28 October 2016
The Artificial Intelligence, Bots and Non Player Characters module is predicated on a situated learning model, where the learning takes place in the contexts to which it refers. The tutorials and workshops will therefore all take place in the virtual world.
The tutorials will take place with the whole group attending one of the communal areas on the UWE islands in Second Life. Both voice and text communication will be enabled, so that you can participate synchronously in the tutorial. Break-out groups will enable closer discussion of the topics raised during the tutorial.
Workshops will take place across the UWE Second Life islands, and in some cases beyond, depending upon the nature of the activities being undertaken. Those activities will include; investigating alternative environments and organised visits to other islands and other virtual worlds.
Learning will be supported through the use of social media such as wikis and blogs.
For CPD entry; you will need to be familiar with virtual worlds.
Session 1: Introduction to Artificial Intelligence. Setting the scene (what is and isn't AI), potential and limitations.
Session 2: Knowledge, logic and intelligence. Acquisition of knowledge, context and production. Logic limitations. What do we mean by intelligence? (Turing/Searle).
Session 3: Logic-based vs Computational Intelligence: Explicit knowledge representation and manipulation vs Machine Learning and Meta-heuristic optimisation.
Sessions 4-6: Artificial Agents: typology and implementations. Kinaesthesia, conversation and presence. Bots, chatbots and NPCs.
Sessions 7-9: Natural Language Processing and AIML. How can human language be processed? Corpus linguistics and transformational grammar. Structuring linguistic interaction with AIML. Formative assessment/feedback point in session 8.
Sessions 10-12: Learning Design and AI. Distributable nature of learning as a process. Planning and designing interventions to achieve learning objectives. The role of AI (potential and limitations).
Learning and Teaching
Students studying this module will not attend the university. Although this may appear at first to be a "distance learning" model, the use of virtual world technologies, video conferencing and asynchronous support through the VLE enable the use of teaching and learning approaches that are more familiar in attended modes, and also enable some that are new, e.g. research workshops in a variety of virtual environments.
Supplementary fee information
£300.00 with assessment
£150.00 without assessment
For 12 weeks from 16 January to 7 April 2017