KAW'96 Track

Agent-oriented Approaches to Knowledge Engineering


Track chairs

Frances Brazier
frances@cs.vu.nl
Vrije Universiteit Amsterdam, The Netherlands
Jan Treur
treur@cs.vu.nl
Vrije Universiteit Amsterdam, The Netherlands

Description

Recent technological developments have considerably increased the amount of information exchanged between systems across the world. New developments at the level of hardware (parallel systems, fibre, protocols, the digital information superhighway), distributed operating systems and distributed databases have provided the means for industry to develop distributed, multi-agent industrial applications.

As multi-agent technology begins to emerge as a viable solution for large- scale industrial and commercial applications, there is an increasing need to ensure that the systems developed are robust, reliable and fit for purpose. To this end, it is important that the basic principles and lessons of software and knowledge engineering are applied to the development and deployment of multi-agent systems. At present, the majority of existing agent applications are developed in an ad hoc fashion - following little or no rigorous design methodology and with limited a priori specification of the agents or of the system as a whole. This lack of principled development methods is one of the major factors hampering the wide-scale adoption of agent technology.

To develop methods with which such systems can be modelled and specified at a conceptually acceptable level of detail, (free from implementation details) characteristics of real-world multi-agent applications need to be identified, in relation to specific domains. The requirements these characteristics impose on a knowledge engineering methods, techniques and tools developers require to model multi-agent systems will need to be determined.

A number of unique generic characteristics have already been identified for multi-agent systems. Agents must, for example, maintain interaction with their environment (observing in the world and performing actions in response; reactiveness), be able to take the initiative (pro-activeness), be able to perform social actions (communication, cooperation), and be able to generate goals independently and act and rationally to achieve them (planning and plan execution; autonomy). Agents models often need to incorporate: reasoning and acting in a defeasible manner, representation of other agents, and reflective reasoning. Also mentalistic notions describing informational and motivational attitudes such as beliefs, desires, intentions and commitments can be incorparated in agent models. In specific domains of application, such as project coordination, cooperative design, navigation, information retrieval, et cetera, more specific characteristics can be identified.

In many areas of software engineering and knowledge-based system design, modelling frameworks have been developed in which specifications of the conceptual design of complex systems are expressed before systems are implemented. Such specifications describe the semantics of systems without concern for implementation details, providing a basis for verification and validation of the functionality of the systems. Modelling frameworks, require adequate means to describe the characteristics of multi-agent systems, in particular, the control of the dynamics of reasoning behaviour and acting behaviour (e.g., guided reasoning, observation, communication and execution of actions). Models of agents may also describe the more specific characteristics of agents in specific domains of application, as mentioned above.

In this workshop the challenge with which the knowledge acquistion community is faced, namely to design modelling frameworks within which agents, and interaction between agents, can be adequately modelled, will be addressed. Papers should address one or more of the aspects mentioned above.

Submission

Draft papers (up to 20 pages) should be sent electronically to Brian Gaines before May 31, 1996. Acceptance and revision notices will be e-mailed by July 31, 1996. Revised papers (20 pages) should be submitted by September 30, 1996, so that hardcopies may be bound together for distribution at the workshop. Authors who submit papers to the workshop will be expected to help with the refereeing of papers submitted by other individuals.

Submission and review of papers, and coordination of all aspects of the meeting, will be through the Internet. Papers should be transmitted in postscript or common document processor format (e.g., Microsoft Word) either by e-mail to gaines@cpsc.ucalgary.ca, or by FTP to ksi.cpsc.ucalgary.ca in directory /incoming (with an email note to gaines@cpsc.ucalgary.ca when the paper is transferred).

The world-wide web (WWW) will be used to coordinate the meeting and to provide further details of the tracks, paper formats, conference arrangements, and so on. Please see the following URL for more information about the KAW workshop:

http://ksi.cpsc.ucalgary.ca/KAW/KAW.html