Semantic Support for Visualisation in Collaborative AI Planning

In the last decades, many advances have been made in intelligent planning systems. Significant improvements related to core problems, providing faster search algorithms and shortest plans have been proposed. However, there is a lack in researches allowing a better support for a proper use and interaction with planners, where, for instance, visualization can play an important role. This work proposes a general framework for visu-alisation of planning information using an approach based on semantic modelling. It intends to enhance the notion of knowledge-based planning applying it to other aspects of planning, such as visualisation. The approach consists in an integrated ontology set and reasoning mechanism for multi-modality visualisation destined to collabora-tive planning environments. This framework will permit organizing and modelling the domain from the visualisation perspective, and give a tailored support for presentation of information.

[1]  T. L. McCluskey,et al.  Knowledge Formulation for AI Planning , 2004, EKAW.

[2]  Austin Tate,et al.  A visualisation approach for collaborative planning systems based on ontologies , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

[3]  Bart Selman,et al.  The Role of Domain-Specific Knowledge in the Planning as Satisfiability Framework , 1998, AIPS.

[4]  Richard Fikes,et al.  STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving , 1971, IJCAI.

[5]  James A. Hendler,et al.  HTN Planning: Complexity and Expressivity , 1994, AAAI.

[6]  Ben Shneiderman,et al.  Using vision to think , 1999 .

[7]  David E. Wilkins,et al.  A Call for Knowledge-Based Planning , 2001, AI Mag..

[8]  Ben Shneiderman,et al.  The limits of speech recognition , 2000, CACM.

[9]  Neff Walker,et al.  A classification of visual representations , 1994, CACM.

[10]  Austin Tate I-X and : an architecture and related ontology for mixed-initiative synthesis tasks , 2001, PuK.

[11]  Jeffrey M. Bradshaw,et al.  Agent Systems for Coalition Search and Rescue Task Support , 2004 .

[12]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[13]  Austin Tate,et al.  I-Rescue: A Coalition Based System to Support Disaster Relief Operations , 2003 .

[14]  Diane Lindwarm Alonso,et al.  Viewing personal history records: A comparison of tabular format and graphical presentation using LifeLines , 1998, Behav. Inf. Technol..

[15]  Austin Tate,et al.  Improving Semantics In Mobile Devices Profiling: A Model Conceptual Formalisation and Ontology Specification , 2004 .

[16]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.