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Call for Papers

Pages: p. 11


Guest Editor: Paul Robertson, DOLL, Inc.

Submissions due 7 Mar. 2003

In artificial intelligence's early days, vision formed a cornerstone of the discipline. Vision combined with high-level symbolic reasoning ("high level vision") made up a sizable fraction of the AI research efforts and literature. More than 20 years ago, owing largely to David Marr's work and suggestions, computer vision research's direction shifted away from these high-level vision efforts toward building a better foundation for low-level vision. Computer vision has now become a thriving subdiscipline, with much of the low-level foundations in place, and running on computer hardware that adequately supports significant real-time vision. Computer vision is ready to resume its role in the pursuit of AI.

Recent years have witnessed increasing commercial use of computer vision in applications including industrial inspection, face identification, and medical image analysis, but most of these applications are still low level and do not form part of what might be called an intelligent system. Owing partly to the active-vision movement, many low-level techniques have been developed that support real-time embedded applications. Attention to the physics of the imaging process has led to great strides in providing a solid foundation for low-level image analysis, especially for medical imaging. All these advances have paved the way to allow computer vision to make the contribution to AI that seemed inevitable 25 years ago.

The first generation of computer vision applications took advantage of low-level vision advances, but the next phase will require more intelligence. It is therefore essential, looking forward, to again address issues of intelligent vision.

Topics and Goals

This special issue will feature articles that demonstrate how intelligent vision is contributing to AI today. It will also suggest future directions of computer vision research as a contributing influence in AI.

Many believe that intelligence is rooted in perception, and in general with connection of the intelligent system with the real world. Vision is our richest source of perceptual information, and a significant portion of the human brain's total mass is devoted to processing visual information. In this special issue, we are interested in articles that demonstrate how computer vision can extend our understanding of intelligence, including such things as planning, reasoning under uncertainty, model-based reasoning, commonsense reasoning, and interacting intelligently with other intelligent agents.

Important Dates


Letters expressing the intent to submit must be sent electronically to Instructions to contributors will be provided upon receipt of the letter of intent. Submit completed manuscripts in electronic form (a Microsoft Word, PDF, or PostScript file) to IEEE Intelligent Systems' magazine assistant at Articles will range from four to 10 magazine pages, including all figures, tables, and sidebars. This is 3,000 to 7,500 words (counting a standard figure or table as 250 words). References should be limited to 10 citations. For more details on submission format, see

All submissions will undergo blind peer review. Criteria for acceptance include appropriateness to the topics and goals, importance or originality of the contribution, and succinctness and clarity of presentation.

Please contact Paul Robertson,


Guest Editors:

Amy Greenwald, Brown University

Nick Jennings, University of Southampton

Peter Stone, University of Texas at Austin

Submissions due 6 June 2003

Markets are mechanisms for exchanging resources and conducting negotiations among multiple individuals. Traditionally, these individuals have been assumed to be (boundedly) rational human beings acting out of their own self-interest. Increasingly, computational agents are active participants in marketplaces. This special issue is devoted to studies of the interactions between agents and markets.

Topics of interest include but are not limited to

  • Agent-based studies of market mechanisms
  • Bidding agents in auctions
  • Agents in supply chain scenarios
  • Automated contract negotiation
  • Dynamic pricing and trading
  • Market-based solutions to distributed resource allocation
  • Preference elicitation and representation
  • Human interfaces to agents
  • Applications to real markets
  • Significant new problem domains

Because IEEE Intelligent Systems is a magazine rather than a journal, the style of presentation is somewhat different. Articles should be organized to "tell a story" concisely and clearly. The style should be informal, active, direct, and lively. Every effort should be made to help the reader understand the concepts presented. Thus, IEEE Intelligent Systems prefers active voice to passive, and encourages the use of examples, diagrams, figures, and photographs. For further stylistic suggestions, see

Important Dates

Submission Format

Articles will range from four to 10 magazine pages, including all figures, tables, and sidebars: 3,000 to 7,500 words counting a standard figure or table as 250 words. References should be limited to 10 citations. For more details, see Send submissions in PostScript or PDF format to


Please contact the guest editors at

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