The Stanford Heuristic Programming Project: Goals and Activities

The Stanford Heuristic Programming Project: Goals and Activities

ion. For example, one proposes the identities of the atoms in a part of the molecule, another proposes sidechains of atoms which branch off of the skeleton of the molecule. Problem solving in this environment is called “opportunistic” because each knowledge source uses information as it becomes available on the blackboard to support or disconfirm its own hypotheses. It follows the strategy of h...

The Stanford Interactive Workspaces Project

The Stanford Hand-Eye Project

There is a large cont inu ing pro jec t at Stanford A r t i f i c i a l I n t e l l i gence Laboratory aimed t o wards the development of a system capable of i n t e res t i ng perceptual-motor behavior. This paper presents a b r i e f ou t l i ne of the cu r ren t l y ac t i ve e f f o r t s and suggests references for more de ta i led i n fo rma t ion . A more thorough discussion of the e f f...

The Stanford Data Warehousing Project

The goal of the data warehousing project at Stanford (the WHIPS project) is to develop algorithms and tools for the efficient collection and integration of information from heterogeneous and autonomous sources, including legacy sources. In this paper we give a brief overview of the WHIPS project, and we describe some of the research problems being addressed in the initial phase of the project.

Stanford Artiflcial Intelligence Project

Signature tree "machine learning" , pattern recognition heuristics are investigated for the specific problem of computer recognition of human speech. When the data base of given utterances is insufficient to establish trends with confidence, a large number of feature extractors must be employed and "recognition" of an unknown pattern made by comparing its feature values with those of known patt...