Towards a Science of Software Design
This event took place on Tuesday 19 April 2005 at 11:00
Professor John Mylopoulos University of Toronto/Trento
In his classic book titled "The Science of the Artificial" (published in 1969) Herbert Simon laments the fact that design is not taught in Engineering Schools, which instead clamor for scientific respectability. He then sketches what he calls a "Science of Design" whose basic ingredients include a logic of alternatives and a means-ends analysis for selecting "good enough" designs.
We review some of the history of Software Engineering since 1968 and discuss some the underlying concepts of Structured and Object-Oriented Software Development. We then focus on Agent-Oriented Software Development and argue that, unlike its older cousins, it supports the fundamental concepts that underly Simon's vision of a Science of Design. We also sketch a particular Agent-Orinted Software Development methodology, called Tropos, and the kind of tool support that it entails.
The research reported in this presentation was conducted with colleagues at the Universities of Toronto (Canada) and Trento (Italy).
This event took place on Tuesday 19 April 2005 at 11:00
In his classic book titled "The Science of the Artificial" (published in 1969) Herbert Simon laments the fact that design is not taught in Engineering Schools, which instead clamor for scientific respectability. He then sketches what he calls a "Science of Design" whose basic ingredients include a logic of alternatives and a means-ends analysis for selecting "good enough" designs.
We review some of the history of Software Engineering since 1968 and discuss some the underlying concepts of Structured and Object-Oriented Software Development. We then focus on Agent-Oriented Software Development and argue that, unlike its older cousins, it supports the fundamental concepts that underly Simon's vision of a Science of Design. We also sketch a particular Agent-Orinted Software Development methodology, called Tropos, and the kind of tool support that it entails.
The research reported in this presentation was conducted with colleagues at the Universities of Toronto (Canada) and Trento (Italy).
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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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