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MAS.963 Out of Context: A Course on Computer Systems That Adapt To, and Learn From, Context, Fall 2001

Diagram of a context-aware application with an explicit input and explicit output.

A context-aware application with an explicit input and explicit output. (Diagram courtesy of Prof. Henry Lieberman.)

課程重點

This class discusses the future of computing, especially as it relates to intelligent and context-sensitive computing. Special attention should be given to the student projects, and the lecture notes from Professor Lieberman.

課程描述

Increasingly, we are realizing that to make computer systems more intelligent and responsive to users, we will have to make them more sensitive to context. Traditional hardware and software design overlooks context because it conceptualizes systems as input-output functions. Systems take input explicitly given to them by a human, act upon that input alone and produce explicit output. But this view is too restrictive. Smart computers, intelligent agent software, and digital devices of the future will also have to operate on data that they observe or gather for themselves. They may have to sense their environment, decide which aspects of a situation are really important, and infer the user's intention from concrete actions. The system's actions may be dependent on time, place, or the history of interaction, in other words, dependent upon context.

But what exactly is context? We'll look at perspectives from machine learning, sensors and embedded devices, information visualization, philosophy and psychology. We'll see how each treats the problem of context, and discuss the implications for design of context-sensitive hardware and software.

Course requirements will consist of critiques of class readings (about 3 papers/week), and a final project (paper or computer implementation project).

師資

講師：
Prof. Henry Lieberman

上課時數

教師授課：
每週1節
每節1.5小時

程度

研究所

回應

告訴我們您對本課程或「開放式課程網頁」的建議。

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原文聲明