System safety analysis techniques are well established and are used extensively during the design of safety-critical systems. Despite this, most of the techniques are highly subjective and dependent on the skill of the practitioner. Since these analyses are usually based on an informal system model, it is unlikely that they will be complete, consistent, and error free. In fact, the lack of prec...

Background The first outbreak of coronavirus disease 2019 (COVID-19) was successfully restrained in many countries around the world by means of a severe lockdown. Now, we are entering the second phase of the pandemics in which the spread of the virus needs to be contained within the limits that national health systems can cope with. This second phase of the epidemics is expected to last until a...

The general problem of separating multiple sources mixed into a single channel is illposed; in order to solve it, additional constraints must be applied. One very general class of constraints is prior knowledge of the source signals: limitations on the waveforms possible for each source can disambiguate the mixture since there may only be one set of ‘legal’ source signals that would add togethe...

Terming a specific approach to economics agent-based may appear paradoxical. Isn’t human behavior the foundation of economics and shouldn’t all economic theory be based on agents behavior in some sense? This, at least, is what conventional economic theory has been claiming since the 1970’s. In this introduction we shall argue that agent-based computational economics (ACE) allows agents and espe...

It is becoming widely accepted that applied social simulation research is more effective if potential users and stakeholders are closely involved in model specification, design, testing and use, using the principles of participatory research. In this paper, a review of software engineering principles and accounts of the development of simulation models are used as the basis for recommendations ...

Agent-oriented methodologies and related modeling techniques have become a priority for the development of large scale agent-based systems. Several methodologies have been proposed for the development of multiagent systems (MAS). For the most part, these methodologies remain incomplete: they are either an extension of object-oriented methodologies or an extension of knowledge-based methodologie...

Similarity measurement is a critical component in any case-based reasoning (CBR) system. CBR is a superior technique for solving new problems based on previous experiences. Main assumption in CBR relies on the hypothesis that states similar problems should have similar solutions. This paper describes a comparative analysis on several commonly used similarity measures (Canberra, Clark, and Norma...

In spite of abundant literature on knowledge management the intricacy of knowledge management performance remains relatively under researched. Current understandings of knowledge management performance are either wholly conceptual or case anecdotes. There is a severe paucity in empirical evidence, and what evidence exists is largely of a descriptive nature. The lack of effective knowledge manag...