Intelligent modeling systems: Design principles

This paper covers the design problems for intelligent modeling systems. Notably, we study the issues of special mathematical software development, model choice and uncertainty consideration for the initial information.     

Integrated A.I. systems

The broad range of capabilities exhibited by humans and animals is achieved through a large set of heterogeneous, tightly integrated cognitive mechanisms. To move artificial systems closer to such general-purpose intelligence we cannot avoid replicating some subset—quite possibly a substantial portion—of this large set. Progress in this direction requires that systems integration be taken more seriously as a fundamental research problem. In this paper I make the argument that intelligence must be studied holistically. I present key issues that must be addressed in the area of integration and propose solutions for speeding up rate of progress towards more powerful, integrated A.I. systems, including (a) tools for building large, complex architectures, (b) a design methodology for building realtime A.I. systems and (c) methods for facilitating code sharing at the community level.

Design principles for critical incident response systems

The national incident management system (NIMS) was developed so that responders from different jurisdictions and disciplines could work together to respond to natural and manmade disasters and emergencies, including acts of terrorism. The NIMS document provides a set of guidelines about practices but it does not make explicit the design requirements for information systems to support the management of critical incidents. Though there are academic and practitioner papers in the general area of emergency management, there is a lacuna of literature discussing how to design information systems to support critical incident response. In this paper we develop a set of design principles that are grounded in emergency management concepts and also in the insights from the real response managers in the Western New York area. The set of design principles provide a foundation for the development of critical incident response systems.

Design principles of adaptive control systems for telerobots

An approach to design telerobots with variable parameters was previously presented [Slutski, Presence 6 (3), 255–267], which is intended to solve manipulation problems when fast transportation operations are combined with high precision positioning operations. Manipulator gain was used as a parameter for the flexible control of the system characteristics that introduced an additional channel of parameter adjustment into the system. This article presents design features of these systems that are based on the fact that a specific kind of adaptive algorithms obtained causes a special design for system hand controllers. The efficiency of these on-line systems with sufficiently simple control algorithms is shown with the help of semi-natural simulation and investigation of actual industrial robot control.     

Design principles of adaptive cellular immunity for artificial immune systems

Artificial immune systems (AISs) have been proposed as a new computing paradigm. This paper reviews design principles of adaptive cellular immunity, based on the immunological literature rather than the simplified mathematical models which have thus far dominated the development of framework for design, interpretation, and application of AISs. An earlier version of this work was presented as a position paper at the ARTIST Network for Artificial Immune Systems meeting held on 8th–9th November 2004.     

Integrated risks of territorial security: Organizational principles of monitoring

This paper describes the methodological organizational principles of cartographic GIS support for the reactive monitoring of spatial propagation and scale growth of integrated and technological risks within a computer-aided early warning and fast response security system.     

RFID malware: Design principles and examples

This paper explores the concept of malware for Radio Frequency Identification (RFID) systems — including RFID exploits, RFID worms, and RFID viruses. We present RFID malware design principles together with concrete examples; the highlight is a fully illustrated example of a self-replicating RFID virus. The various RFID malware approaches are then analyzed for their effectiveness across a range of target platforms. This paper concludes by warning RFID middleware developers to build appropriate checks into their RFID middleware before it achieves wide-scale deployment in the real world.     

Integrated knowledge systems

This paper presents a preliminary system structure supporting integration of expert systems and knowledge-based problem solving to other kinds of computing. The structure is based on layers on different abstraction levels communicating with each other through well-defined interface protocols. The result of applying such structure is a knowledge system capable of utilizing existing computer programs and information stores during its problem solving process.The structure is used in an application supporting hydrodynamic design of ships. A brief presentation of a demonstration system integrated to an existing ship design and engineering system is given.     

Key principles for user-centred systems design

The concept of user-centred systems design (UCSD) has no agreed upon definition. Consequently, there is a great variety in the ways it is applied, which may lead to poor quality and poor usability in the resulting systems, as well as misconceptions about the effectiveness of UCSD. The purpose of this paper is to propose a definition of UCSD. We have identified 12 key principles for the adoption of a user-centred development process, principles that are based on existing theory, as well as research in and experiences from a large number of software development projects. The initial set of principles were applied and evaluated in a case study and modified accordingly. These principles can be used to communicate the nature of UCSD, evaluate a development process or develop systems development processes that support a user-centred approach. We also suggest activity lists and some tools for applying UCSD.     

Key principles for user-centred systems design

The concept of user-centred systems design (UCSD) has no agreed upon definition. Consequently, there is a great variety in the ways it is applied, which may lead to poor quality and poor usability in the resulting systems, as well as misconceptions about the effectiveness of UCSD. The purpose of this paper is to propose a definition of UCSD. We have identified 12 key principles for the adoption of a user-centred development process, principles that are based on existing theory, as well as research in and experiences from a large number of software development projects. The initial set of principles were applied and evaluated in a case study and modified accordingly. These principles can be used to communicate the nature of UCSD, evaluate a development process or develop systems development processes that support a user-centred approach. We also suggest activity lists and some tools for applying UCSD.     

Integrated systems II: Multi-tier interfaces for integrating families of systems

Of critical importance is the design of the man-machine interfaces for general rule based systems. They must serve (i) as user-friendly interfaces for different classes of users for different applications and (ii) to invoke service components in integrated packages without interrogating users. These objectives are achieved with a multitier interface design whose two parts, the Interactive User-Friendly Interface (IUFI) and the System Interface (SI), communicate with each other via commonly used notational systems and can be invoked independently of each other. The user-friendly interface, which is uniquely designed for each user discipline, passes information to the SI. The SI does not change for new IUFI designs and it can be invoked by other rule based systems without interrogating users.Here the requirements for the IUFI and SI parts are identified, four different designs of multi-tier interfaces are given and two applications are described. Also included are guidelines for designing user friendly interfaces.     

Integrated geographical information systems

ABSTRACT

This contribution discusses the impact of Geographical Information System technology on remote sensing. It argues that greatest benefit is derived from remotely-sensed data when it is analysed together with, and in the context of, other geographical data. Some relevant European organizational initiatives and research activities are outlined.     

Integrated biological systems modeling: challenges and opportunities

Most biological systems are by nature hybrids consist of interacting discrete and continuous components, which may even operate on different time scales. Therefore, it is desirable to establish modeling frameworks that are capable of combining deterministic and stochastic, discrete and continuous, as well as multi-timescale features. In the context of molecular systems biology, an example for the need of such a combination is the investigation of integrated biological pathways that contain gene regulatory, metabolic and signaling components, which may operate on different time scales and involve on-off switches as well as stochastic effects. The implementation of integrated hybrid systems is not trivial because most software is limited to one or the other of the dichotomies above. In this study, we first review the motivation for hybrid modeling. Secondly, by using the example of a toggle switch model, we illustrate a recently developed modeling framework that is based on the combination of biochemical systems theory (BST) and hybrid functional Petri nets (HFPN). Finally, we discuss remaining challenges and future opportunities.     

Integrated assessment and modelling: features,principles and examples for catchment management

To meet the challenges of sustainability and catchment management requires an approach that assesses resource usage options and environmental impacts integratively. Assessment must be able to integrate several dimensions: the consideration of multiple issues and stakeholders, the key disciplines within and between the human and natural sciences, multiple scales of system behaviour, cascading effects both spatially and temporally, models of the different system components, and multiple databases. Integrated assessment (IA) is an emerging discipline and process that attempts to address the demands of decision makers for management that has ecological, social and economic values and considerations. This paper summarises the features of IA and argues the role for models and information systems as a prime activity. Given the complex nature of IA problems, the broad objectives of IA modelling should be to understand the directions and magnitudes of change in relation to management interventions so as to be able to differentiate between associated outcome sets. Central to this broad objective is the need for improved techniques of uncertainty and sensitivity analysis that can provide a measure of confidence in the ability to differentiate between different decisions. Three examples of problems treated with an IA approach are presented. The variations in the way that the different dimensions are integrated in the modelling are discussed to highlight the sorts of choices that can be made in model construction. The conclusions stress the importance of IA as a process, not just as a set of outcomes, and define some of the deficiencies to be overcome.     

Stability analysis of switched systems using variational principles: An introduction

Many natural and artificial systems and processes encompass several modes of operation with a different dynamical behavior in each mode. Switched systems provide a suitable mathematical model for such processes, and their stability analysis is important for both theoretical and practical reasons. We review a specific approach for stability analysis based on using variational principles to characterize the “most unstable” solution of the switched system. We also discuss a link between the variational approach and the stability analysis of switched systems using Lie-algebraic considerations. Both approaches require the use of sophisticated tools from many different fields of applied mathematics. The purpose of this paper is to provide an accessible and self-contained review of these topics, emphasizing the intuitive and geometric underlying ideas.     

Interacting with the real world: design principles for intelligent systems

The last two decades in the field of artificial intelligence have clearly shown that true intelligence always requires the interaction of an agent with a real physical and social environment. The concept of embodiment that has been introduced to designate the modern approach to designing intelligence has far-reaching implications. Rather than studying computation alone, we must consider the interplay between morphology, materials, brain (control), and the environment. A number of case studies are presented, and it is demonstrated how artificial evolution and morphogenesis can be used to systematically investigate this interplay. Taking these ideas into account requires entirely novel ways of thinking, and often leads to surprising results.This work was presented, in part, at the 9th International Symposium on Artificial Life and Robotics, Oita, Japan, January 28–30, 2004