STAN - CS - 80 - 808 LEV FINAL REPORT Basic Research in Artificial Intelligence and Foundations of Programming

Basic Research in Artificial Intelligence and Foundations of Programming bY

s are given here for ArtificialIntelligence Memos published since 1976. Forearlier years, see our ten-year report [MemoAIM-2281 or diskfile AIMS.OLD [BlB,DOCI@W-AI. The abstracts below are kept indiskfile AIMS [BlB,DOC] @SU-AI and thetitles of both earlier and more recent A. I Memos are in AIMLST[BIB,DOCl &U-AI.; In the listing below, there are up to threenumbers give...

Stanford Artificial Intelligence Project Memoaim-164 Stan-cs-72-272 Fixpoint Approach to the Theory of Computation

Generation Scheduling in Large-Scale Power Systems with Wind Farms Using MICA

The growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. Among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselectricity production in the future. In this thesis, we study follows to long-term generationscheduling of power systems in the pre...

Methods and Models in Linguistic and Musical Computational Creativity

Computational creativity is an area of artificial intelligence that develops algorithms and simulations of creative phenomena, as well as tools for performing creative tasks. In this thesis, we present various computational methods and models of linguistic and musical creativity. The emphasis is on developing methods that are maximally unsupervised, i.e. methods that require a minimal amount of...

Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach

Determining the ultimate bearing capacity (UBC) is vital for design of shallow foundations. Recently, soft computing methods (i.e. artificial neural networks and support vector machines) have been used for this purpose. In this paper, Random Forest (RF) is utilized as a tree-based ensemble classifier for predicting the UBC of shallow foundations on cohesionless soils. The inputs of model are wi...