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  1. Intelligent Systems and their Applications
  2. Year : 1998 Volume : 13
  3. Issue 1
  4. Anarchy in action [AI software complexity]
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Year : 2000 Volume : 15
Year : 1999 Volume : 14
Year : 1998 Volume : 13
Issue 6
Issue 5
Issue 4
Issue 3
Issue 2
Issue 1
Staying healthy in a wired world
Anarchy in action [AI software complexity]
Innovations in electronic academic publishing
Jousting in Japan [Robot Grand Prix]
AI and the changing face of health care
Knowledge architectures for patient access to breast-cancer information
TraumaTIQ: online decision support for trauma management
Better, more cost-effective intake interviews
Neural net learning for intelligent patient-image retrieval
Guardian: intelligent autonomous agent for medical monitoring and diagnosis
Quicker, more accurate nutrition plans for newborn infants
Voice-enabled, structured medical reporting
Stanford University's AI in medicine: still cutting the edge
AI and law enforcement

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Anarchy in action [AI software complexity]

Content Provider IEEE Xplore Digital Library
Author Grand, S.
Copyright Year 1998
Abstract As software complexity grows (which it inevitably does), the problems of managing that complexity grow exponentially. Nowhere is this more significant than in AI, where we are attempting to emulate some of the most sophisticated and complex forms of behavior. It is a reasonable assertion that intelligent systems cannot be simplified-that their behavior is necessarily a result of their immense complexity. If we are to make intelligent computer programs, they must be complex. If that complexity exceeds our ability to manage it by conventional top-down modes of thought, then we must find another way. To do this, we need to understand how anarchy works. One of the largest anarchies on the face of this planet is your own body. Perhaps the most striking feature of complex organisms is their cellularity. A cell's most significant feature is its membrane. The membrane's purpose is to keep the outside out and the inside in. Modern software uses a similar concept to isolate components from each other, through the object-oriented programming methodology. In many respects, the biological concept of cellularity is applicable to computer software, especially if you have a predilection for designing bottom-up, massively parallel simulations for creating intelligent artificial life-forms.
Sponsorship IEEE Computer Society
Starting Page 4
Ending Page 5
Page Count 2
File Size 342339
File Format PDF
ISSN 10947167
Volume Number 13
Issue Number 1
Language English
Publisher Date 1998-01-01
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Artificial intelligence Biomembranes Intelligent systems Planets Organisms Object oriented programming Biology computing Concurrent computing Software Biological system modeling
Content Type Text
Resource Type Article
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