One day a man, who had lost much of his long-term episodic memory, consulted the professor to ask him if there was any way he could help him regain the lost memories. During the previous year, this amnestic man had suffered a stroke in his right cerebral hemisphere. Being righthanded and left-hemisphere specialized for language, he was still able to speak, to read and write: and to understand what was said to him. Besides the usual difficulty in recalling proper names, his main problem involved large gaps in his memory for events that he participated in before the stroke, although he could remember events that occurred after the stroke. For example, many years before his stroke, he had received a high award for an exceptional achievement.

Should they have the right to love humans and other AIs equally? What about the right to equal work opportunities and protection from discrimination? Will "unplugging" an AI being be considered murder? By unplugging a self-aware AI, wouldn't we be violating its basic right to live?

Interactive Narrative often involves dialogue with virtual dramatic characters. In this paper we compare two kinds of models of character style: one based on models derived from the Big Five theory personality, and the other derived from a corpus-based method applied to characters and films from the IMSDb archive. We apply these models to character utterances for a pilot narrative-based outdoor augmented reality game called Murder in the Arboretum . We use an objective quantitative metric to estimate the quality of a character model, with the aim of predicting model quality without perceptual experiments. We show that corpus-based character models derived from individual characters are often more detailed and specific than personality based models, but that there is a strong correlation between personality judgments of original character dialogue and personality judgments of utterances generated for Murder in the Arboretum that use the derived character models.