By Shichao Zhang, Ray Jarvis
This booklet constitutes the refereed court cases of the 18th Australian Joint convention on synthetic Intelligence, AI 2005, held in Sydney, Australia in December 2005.
The seventy seven revised complete papers and 119 revised brief papers provided including the abstracts of three keynote speeches have been rigorously reviewed and chosen from 535 submissions. The papers are catgorized in 3 huge sections, specifically: AI foundations and applied sciences, computational intelligence, and AI in really good domain names. specific subject matters addressed through the papers are good judgment and reasoning, computer studying, video game thought, robot expertise, info mining, neural networks, fuzzy thought and algorithms, evolutionary computing, net intelligence, determination making, development acceptance, agent know-how, and AI purposes.
Read Online or Download AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings PDF
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Extra resources for AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings
CTL Model Update) Given a CTL Kripke model M = (S, R, L) and a CTL formula φ, M= (M, s0 ) |= φ, where s0 ∈ S. An update of M with φ, is a new CTL Kripke model M = (M , s0 ), where M = (S , R , L ) and s0 ∈ S , such that M |= φ. 1 Types of CTL Model Update: Primitive Updates The operations to update the CTL model can be decomposed as ﬁve types which are compatible with simple modiﬁcations given in . We name them as primitive updates: PU1, PU2, · · ·, PU5. Each primitive update is deﬁned in its simplest way: one operation at a time.
The added or substituted states in PU3 and PU4 should also be atomic and minimal. The atomic features of the update are the foundation of minimal change rules described in later sections. 2 Examples for Combinations of Primitive Updates One kind of combination is that each primitive update is repeated a few times within an updated model. Besides this, which is relatively simple, the combinations of diﬀerent primitive updates could result in C25 + C35 + C45 + C55 = 26 possible cases. We give a couple of examples to illustrate combinations of primitive updates.
We first briefly summarize the PRS-like agent architecture. Then the main part of the paper consists of a description of how the execution structures of an agent program can be represented in a reachability graph. We give an algorithm for computing a reachability graph for any PRS-like agent program from a given initial configuration, then an example of this construction for a simple “waypoint following” agent. The example shows how the behaviour of the agent in changing its intentions in response to events in the environment is modelled.