Skip to main content
Article thumbnail
Location of Repository

Coalition Task Support using I-X and <I-N-C-A>

By Austin Tate


The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the authorâ s and shouldnâ t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.I-X is a research programme with a number of different aspects in-tended to create a well-founded approach to allow humans and computer systems to cooperate in the creation or modification of some product such as a design, physical entity or plan - i.e. it supports cooperative synthesis tasks. The I-X approach involves the use of shared models for task-directed cooperation between human and computer agents who are jointly exploring (via some, perhaps dynamically determined, process) a range of alternative options for the synthesis of an artifact such as a design or a plan (termed a product). The <I-N-C-A> (Issues - Nodes - Constraints - Annotations) ontology is used to represent a specific artifact as a set of constraints on the space of all possible artifacts in an application domain. It can be used to describe the requirements or specification to be achieved and the emerging description of the artifact itself. It can also describe the (perhaps dynamically generated) processes involved. I-X and |<I-N-C-A> have been applied to Coalition Task Support

Topics: Informatics, artificial intelligence, Computer Science, coalition, Artificial Intelligence Applications Institute
Publisher: Springer
Year: 2003
OAI identifier:

Suggested articles


  1. (2000). and - Representing Plans and other Synthesized Artifacts as a Set of Constraints,
  2. (2002). Coalition Agents Experiment: MultiAgent Co-operation in an doi
  3. (1991). Design space analysis: Bridging from theory to practice via design rationale.
  4. (2003). Dialog Mapping: Reflections on an Industrial Strength Case Study. doi
  5. (1998). Generation of Multiple Qualitatively Different Plan Options,
  6. (1988). gIBIS: A hypertext tool for exploratory policy discussion. doi
  7. (2000). Intelligible AI Planning, doi
  8. (1970). Issues as Elements of Information Systems,
  9. (1994). Mixed Initiative Planning in O-Plan2,
  10. (2000). O-Plan: a Web-based AI Planning Agent, AAAI2000 Intelligent Systems Demonstrator,
  11. (1994). OptimumAIV: A Knowledge-Based Planning doi
  12. (1998). Rationale in Planning: Causality, Dependencies and Decisions, doi
  13. (1996). Responsive Planning and Scheduling Using AI Planning Techniques - Optimum-AIV, In Trends & Controversies - AI Planning Systems in the Real World,
  14. (1996). The Constraint Model of Plans,
  15. (1998). The Enterprise Ontology, doi
  16. (1995). The Enterprise Tool Set - An Open Enterprise Architecture,
  17. (1996). Unifying Classical Planning Approaches,
  18. (2000). Using AI Planning Technology for Army Small Unit Operations,

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.