As Case-Based Reasoning has matured as a discipline; the need for a standard means of representing case-based knowledge has come to the fore. While proposals exist for representing the vocabulary and the case-base ...

Computational models of trust have been proposed for use in ubicomp environments for deciding whether to allow customers to pay with an e-purse or not. In order to build trust in a customer, a means to link transactions ...

This paper is a description of our work in creating a story director agent which utilises AI techniques. The story director controls the storyline in an adventure computer game, with the player controlling the hero ...

A central element in the human notion of trust is to identify whom or what is under consideration. In the digital world, this is harder to achieve due to more or less trustworthy technical infrastructure between interacting ...

Several techniques are currently used to evaluate recommender systems. These techniques involve off-line analysis using evaluation methods from machine learning and information retrieval. We argue that while off-line ...

One approach to product recommendation in ecommerce is collaborative filtering, which is based on data of users? consumption of assets. The alternative case-based approach is based on a more semantically rich representation ...

[Introduction] The success of games such as The Sims (thesims.ea.com) and Black & White (www.bwgame.com) have shown that there is a demand for the personalities, moods, and relationships of Non Player Characters? (NPCs) ...

From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be considered case descriptions. In addition, ...

It is well known that ensembles of predictors produce better accuracy than a single predictor provided there is diversity in the ensemble. This diversity manifests itself as disagreement or ambiguity among the ...