Staged development of Robot Motor Coordination

M.H. Lee and Q. Meng, 'Staged development of Robot Motor Coordination', IEEE International Conference on Systems, Man and Cybernetics, (IEEE SMC 05), Hawaii, USA, v3, 2917-2922, 2005.

Two-Dimensional?Three-Dimensional Correspondence in Mammography

R. Marti, C. Rubin, E. Denton and R. Zwiggelaar, '2D-3D correspondence in mammography', Cybernetics and Systems 35 (1), 85-105 (2004)

Biomimetics in design-oriented information systems research

Modern information systems (ISs) are becoming increasingly complex. Simultaneously, organizational changes are occurring more often and more rapidly. Therefore, emergent behavior and organic adaptivity are key advantages of ISs. In this paper, a design science research (DSR) question for design-oriented information systems research (DISR) is proposed: Can the application of biomimetic principles to IS design result in the creation of value by innovation? Accordingly, the properties of biological IS are analyzed, and these insights are crystallized into a theoretical framework to address the three major aspects of biomimetic ISs: user experience, information processing, and management cybernetics. On this basis, the research question is elaborated together with a starting point for a research methodology in biomimetic information systems.

Identification and doing without it, V: A formal mathematical analysis for a case of mix-up of individuals, and of recovery from failure to attain identification

Identification, when sought, is not necessarily obtained. Operational guidance that is normatively acceptable may be necessary for such cases. We proceed to formalize and illustrate modes of exchanges of individual identity, and provide procedures of recovery strategies in specific prescriptions from an ancient body of law for such situations when, for given types of purposes, individuals of some relevant kind had become intermixed and were undistinguishable. Rules were devised, in a variety of domains, for coping with situations that occur if and when the goal of identification was frustrated. We propose or discuss mathematical representations of such recovery procedures.

Engineering emergence for cluster configuration

Distributed applications are being deployed on ever-increasing scale and with ever-increasing functionality. Due to the accompanying increase in behavioural complexity, self-management abilities, such as self-healing, have become core requirements. A key challenge is the smooth embedding of such functionality into our systems. Natural distributed systems such as ant colonies have evolved highly efficient behaviour. These emergent systems achieve high scalability through the use of low complexity communication strategies and are highly robust through large-scale replication of simple, anonymous entities. Ways to engineer this fundamentally non-deterministic behaviour for use in distributed applications are being explored. An emergent, dynamic, cluster management scheme, which forms part of a hierarchical resource management architecture, is presented. Natural biological systems, which embed self-healing behaviour at several levels, have influenced the architecture. The resulting system is a simple, lightweight and highly robust platform on which cluster-based autonomic applications can be deployed.

Investigation into a modular rule-based testing method for testing business rules in scheduling applications

Rule testing in transport scheduling is a complex and potentially costly business problem. This paper proposes an automated method for the rule-based testing of business rules using the extensible Markup Language for rule representation and transportation. A compiled approach to rule execution is also proposed for performance-critical scheduling systems.

Second-Order Training of Adaptive Critics for Online Process Control

A new algorithm for training of nonlinear optimal neuro-controllers (in the form of the model-free, action-dependent, adaptive critic paradigm). Overcomes problems with existing stochastic backpropagation training: need for data storage, parameter shadowing and poor convergence, offering significant benefits for online applications.

El modelo del sistema viable: una referencia estratégica para el estudio organizacional del sector cooperativo chileno

The Chilean Cooperative Sector (SCCh) can be explained as a human activity system of high complexity, which seeks to maintain an independent existence, in example, be viable. From this perspective, the Viable System Model (MSV) as conceptual reference presents a real opportunity to study the organization of the cooperative sector in Chile.The central objective of the work refers to study the feasibility of SCCh in a context of sectorial organization, considering the social, legal and economic fabric of the country today.To do this, supported by a systemic methodology were performed: a characterization of the problem situation of the sector -identifying some relevant factors in the areas of market structure, legal regulations and inter cooperation-an organizational diagnosis and proposed a set guidelines for its development.From the above it is concluded that there is relevance between the characteristics of the case study theoretical and methodological approach. The methodology takes tested in other organizational practices such as VIPLAN tools, and applies the SCCh. Its contribution in the field of study is oriented around a holistic view of the organization and promotion of their viability, thereby generating an approach that delivers specific sectorial development strategies, surpassing the approximation of descriptive characterization. Thus, we provide a diagnostic model of the Chilean Cooperative Sector and propose guidelines to support their organizational development.

A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory

The need to merge multiple sources of uncertaininformation is an important issue in many application areas,especially when there is potential for contradictions betweensources. Possibility theory offers a flexible framework to represent,and reason with, uncertain information, and there isa range of merging operators, such as the conjunctive anddisjunctive operators, for combining information. However, withthe proposals to date, the context of the information to be mergedis largely ignored during the process of selecting which mergingoperators to use. To address this shortcoming, in this paper,we propose an adaptive merging algorithm which selects largelypartially maximal consistent subsets (LPMCSs) of sources, thatcan be merged through relaxation of the conjunctive operator, byassessing the coherence of the information in each subset. In thisway, a fusion process can integrate both conjunctive and disjunctiveoperators in a more flexible manner and thereby be morecontext dependent. A comparison with related merging methodsshows how our algorithm can produce a more consensual result.