By Victor Lesser (auth.), Yang Xiang, Brahim Chaib-draa (eds.)
This publication constitutes the refereed complaints of the sixteenth convention of the Canadian Society for Computational reports of Intelligence, AI 2003, held in Halifax, Canada in June 2003.
The 30 revised complete papers and 24 revised brief papers awarded have been rigorously reviewed and chosen from 106 submissions. The papers are geared up in topical sections on wisdom illustration, seek, constraint delight, computer studying and information mining, AI and net functions, reasoning lower than uncertainty, brokers and multi-agent platforms, AI and bioinformatics, and AI and e-commerce.
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Additional info for Advances in Artificial Intelligence: 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11–13, 2003, Proceedings
Indeed, most users are not programmers, and exposing a textual programming language to them is undesirable. Hence, a visual representation – one that abstracts away textual programming – is important. Again, a CO2 P 3 Slike approach seems to work here – parameterized behaviors can be deﬁned graphically. This paper describes the behavioral patterns in ScriptEase, and introduces the reader to our behavior patterns. Additional patterns, including those for encounters, dialogs and plot, are only brieﬂy mentioned.
A particular phenomenon that could not be dealt with using simple patternmatching is the case of verb tenses. Many questions in the TREC collections are in the past tense; but the past tense is exhibited only in the auxiliary verb, while the main verb stays in its citation form. When formulating a declarative sentence, the tense information must be transferred to the main verb. In order to do this transformation, yet keep formulation rapid and straightforward, we Table 1. Answer templates for each type of question Question Type Example Nb of Average Nb Templates of Answer Patterns when (# 398) When is Boxing Day?
The language must support learning – characters must adapt to their circumstances. Few commercial games do more than non-trivial types of learning. – Rich set of behaviors. Realism demands that any AI behavior speciﬁcation system must support a large and varied selection of behaviors. – Complex behaviors. The system must support the creation of complex behaviors, either individual behaviors or a combination of simpler behaviors. – Extensibility. The basic tool must support the addition of new behaviors and capabilities.
Advances in Artificial Intelligence: 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11–13, 2003, Proceedings by Victor Lesser (auth.), Yang Xiang, Brahim Chaib-draa (eds.)