Real-time task attributes and temporal constraints

Real-time tasks need attributes for monitoring their execution and performing recovery actions in case of failures. Temporal constraints are a class of real-time task attributes where the constraints relate the status of the task to temporal entities. Violating temporal constraints can produce consequences of unknown severity. This paper is part of our on-going research on real-time multi agent systems constraints. We discuss the importance of temporal constraints and present a task model that explicitly represents temporal constraints. We also present our preliminary results from our initial implementation in the domain of Meeting Schedules Management involving multiple users assisted by agents

Customising agent based analysis towards analysis of disaster management knowledge

© 2016 Dedi Iskandar Inan, Ghassan Beydoun and Simon Opper. In developed countries such as Australia, for recurring disasters (e.g. floods), there are dedicated document repositories of Disaster Management Plans (DISPLANs), and supporting doctrine and processes that are used to prepare organisations and communities for disasters. They are maintained on an ongoing cyclical basis and form a key information source for community education, engagement and awareness programme in the preparation for and mitigation of disasters. DISPLANS, generally in semi-structured text document format, are then accessed and activated during the response and recovery to incidents to coordinate emergency service and community safety actions. However, accessing the appropriate plan and the specific knowledge within the text document from across its conceptual areas in a timely manner and sharing activities between stakeholders requires intimate domain knowledge of the plan contents and its development. This paper describes progress on an ongoing project with NSW State Emergency Service (NSW SES) to convert DISPLANs into a collection of knowledge units that can be stored in a unified repository with the goal to form the basis of a future knowledge sharing capability. All Australian emergency services covering a wide range of hazards develop DISPLANs of various structure and intent, in general the plans are created as instances of a template, for example those which are developed centrally by the NSW and Victorian SES’s State planning policies. In this paper, we illustrate how by using selected templates as part of an elaborate agent-based process, we can apply agent-oriented analysis more efficiently to convert extant DISPLANs into a centralised repository. The repository is structured as a layered abstraction according to Meta Object Facility (MOF). The work is illustrated using DISPLANs along the flood-prone Murrumbidgee River in central NSW

Modelling MAS-Specific Security Features

In this paper, we pursue a modelling approach to address security requirements for multi-agent systems (MAS). This will allow developers to account for both the system and agent-specific security requirements of a MAS during the requirements phase and throughout the whole Software Development Lifecycle of the system. We focus on autonomy, mobility and cooperation of individual agents and how these create additional security vulnerabilities to the system. In proposing a set of generic modelling primitives for these engendered requirements in the analysis of the MAS, we extend our recently proposed MAS metamodel. In this paper, we pursue a modelling approach to address security requirements for multi-agent systems (MAS). This will allow developers to account for both the system and agent-specific security requirements of a MAS during the requirements phase and throughout the whole Software Development Lifecycle of the system. We focus on autonomy, mobility and cooperation of individual agents and how these create additional security vulnerabilities to the system. In proposing a set of generic modelling primitives for these engendered requirements in the analysis of the MAS, we extend our recently proposed MAS metamodel

Representing fire emergency response knowledge through a domain modelling approach

When any kind of emergency occurs, Emergency Responders (ERs) from different emergency organizations (such as police, fire, ambulance and municipality) have to act concurrently to solve the difficulties which are posed at the emergency site. Moreover, during the immediate response, getting the awareness of the situation is very crucial for ERs to lessen the emergency impacts such as loss of life and damage to the property. However, this can only be done when ERs get access to the information in timely manner and share the acquired information with one another during emergency response. Despite ERs share knowledge with one another they have to use same concepts to obtain the semantic understanding in order to perform actions for achieving goals. In addition, the success of the emergency response lies on the ERs’ coordination and their interoperability (information systems interoperability). Therefore, in this paper we provide a formal structure to the concepts that describes the building fire emergency management domain in order to provide a common semantic understanding for ERs. In our study, domain modelling approach has been used to represent the concepts formally. The presented results combine the knowledge from semi-structured interviews, document analysis, and through literature review. The developed domain model includes four aspects: i) characteristics of the event, ii) actors involved, iii) goals to achieve and iv) Building characteristics. Besides, the developed domain model serves as a foundational component to create an information system to unify, facilitate and expedite access to emergency related information for facilitating data exchange format and enable knowledge sharing among different emergency actors

Development and validation of a disaster management metamodel (DMM)

Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of the world. Many international and national bodies create knowledge models to allow knowledge sharing and effective DM activities. But these are often narrow in focus and deal with specified disaster types. We analyze thirty such models to uncover that many DM activities are actually common even when the events vary. We then create a unified view of DM in the form of a metamodel. We apply a metamodelling process to ensure that this metamodel is complete and consistent. We validate it and present a representational layer to unify and share knowledge as well as combine and match different DM activities according to different disaster situations

A Security-Aware Metamodel for Multi-Agent Systems (MAS)

This paper adopts a model-based security (MBS) approach to identify security requirements during the early stages of multi-agent system development. Our adopted MBS approach is underpinned by a metamodel independent of any specific methodology. It allows for security considerations to be embedded within any situated agent methodology which then prescribes security considerations within its work products. Using a standard model-driven engineering (MDE) approach, these work products are initially constructed as high abstraction models and then transformed into more precise models until code-specific models can be produced. A multi-agent system case study is used to illustrate the applicability of the proposed security-aware metamodel