By Jiuyong Li

ISBN-10: 3642174310

ISBN-13: 9783642174315

This ebook constitutes the refereed court cases of the twenty third Australasian Joint convention on synthetic Intelligence, AI 2010, held in Adelaide, Australia, in December 2010. The fifty two revised complete papers awarded have been rigorously reviewed and chosen from 112 submissions. The papers are prepared in topical sections on wisdom illustration and reasoning; information mining and data discovery; desktop studying; statistical studying; evolutionary computation; particle swarm optimization; clever agent; seek and making plans; normal language processing; and AI purposes.

Show description

Read Online or Download AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings PDF

Similar structured design books

Download e-book for kindle: Advanced Process Control and Information Systems 2005 by

This handbook-type reference resource is produced biennially by means of the workers of Hydrocarbon Processing journal. It comprises movement diagrams and outlines of over one hundred sixty significant approach keep watch over and data structures applied sciences from over 20 licensors. it really is distinct in that it exhibits how those applied sciences are utilized to precise HPI methods and crops.

Triangulations and Applications by Øyvind Hjelle PDF

This booklet will function a invaluable resource of data approximately triangulations for the graduate pupil and researcher. With emphasis on computational matters, it provides the elemental conception essential to build and control triangulations. particularly, the publication offers a travel in the course of the idea at the back of the Delaunay triangulation, together with algorithms and software program matters.

Data Structures and Algorithms by Alfred V. Aho PDF

The authors' remedy of information buildings in information constructions and Algorithms is unified by way of a casual concept of "abstract info types," permitting readers to check assorted implementations of a similar notion. set of rules layout options also are under pressure and easy set of rules research is roofed. lots of the courses are written in Pascal.

New PDF release: Algorithms for Data Science

This textbook on functional information analytics unites primary rules, algorithms, and information. Algorithms are the keystone of knowledge analytics and the point of interest of this textbook. transparent and intuitive causes of the mathematical and statistical foundations make the algorithms obvious. yet sensible facts analytics calls for greater than simply the rules.

Extra resources for AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings

Example text

Journal of Symbolic Logic, 510–530 (1985) 2. : On the difference between updating a knowledge base and revising it. In: Principles of Knowledge Representation and Reasoning, pp. 387–394 (1991) 3. : A qualitative markov assumption and its implications for belief change. In: UAI, pp. 263–273 (1996) 4. : Modeling belief in dynamic systems, part ii: Revisions and update. AI/0307071 (2003) 5. : Belief update revisited. In: IJCAI, pp. 2517–2522 (2007) 6. : Modeling belief in dynamic systems, part i: Foundations.

In usual way, possible worlds are defined as w : AP → {0, 1}, and, W as the complete set of possible worlds. We assume the set of natural numbers N as the time domain. A history h is a function that assigns to each time point t ∈ N a member of W, h : N → W. The complete set of histories is denoted by H. Every history gives a complete picture of a dynamic world that is analogue to the possible worlds that give a complete picture of a static world. g. the example given in caption of figure 1. In addition, to represent beliefs at certain instants or intervals we define: 1.

The symptoms being newly discovered are the new information. The belief change approach that allows for such a specific representation of the new information is by R. C. Jeffrey where the new information is expressed as a probability distribution over a number of propositions [8] (Chapter 11). This representation also allows for the new information to be revisable. Although, Jeffery’s approach to belief change is probabilistic, his method is adopted in Spohn’s theory of ranking functions which is a deterministic/qualitative theory of belief change [7].

Download PDF sample

AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings by Jiuyong Li


by Anthony
4.0

AI 2010: Advances in Artificial Intelligence: 23rd by Jiuyong Li PDF
Rated 4.53 of 5 – based on 12 votes