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During the last years approaches inspired by biological immune systems showed promising results in the field of misbehavior detection and classification of data in general. In this chapter we give a comprehensive overview on the recent developments in the area of biologically inspired classification approaches of possible threats and misbehavior, especially in the area of ad hoc networks. We discuss...
Large scale problems need to be decomposed for tractability purposes. The decomposition process needs to be carefully managed to minimize the interdependencies between sub-problems. A measure of partitioning quality is introduced and its application in problem classification is highlighted. The measure is complexity based (real complexity) and can be employed for both disjoint and overlap decompositions...
Knowledge sharing between various components of a system is a prerequisite for a successful knowledge management system. A knowledge sharing model includes providing knowledge workers with the knowledge, experiences and insights which they need to perform their tasks. We propose a multi-agent system that assists in the process of knowledge sharing between concerned knowledge worker groups. Each agent...
An A-Team is a system of autonomous agents and the common memory. Each agent possesses some problem-solving skills and the memory contains a population of problem solutions. Cyclically solutions are being sent from the common memory to agents and from agents back to the common memory. Agents cooperate through selecting and modifying these solutions according to the user-defined strategy referred to...
Business organizations achieve their mission by performing a number of processes. These span from simple sequences of actions to complex structured sets of activities with complex interrelation among them. The field of Business Processes Management studies how to describe, analyze, preserve and improve processes. In particular the subfield of Process Mining aims at inferring a model of the processes...
The advent of online newspapers broadened the diversity of available news’ sources. As the volume of news grows, so does the need for tools which act as filters, delivering only information that can be considered relevant to the reader. Recommender systems can be used in the organization of news, easing reading and navigation through newspapers. Employing the users’ history on items consumption, user...
Finding the adequate (win-win solutions for both parties) negotiation strategy with incomplete information for autonomous agents, even in one-toone negotiation, is a complex problem. Elsewhere, negotiation behaviors, in which the characters such as conciliatory, neutral, or aggressive define a ‘psychological’ aspect of the negotiator personality, play an important role. More, learning in negotiation...
The goal of the paper is building the knowledge-based model for predicting the state of the IT support organization. These organizations are facing the problem of their transformation. The complexity of the processes, the difficulty adjusting the operations and limited ability to control the evolution implies the need of the solutions supporting the decision-makers to make the change happen. The solutions...
Digital preservation can be regarded as ensuring communication with the future, that means ensuring the persistence of digital resources, rendering them findable, accessible and understandable for supporting contemporary reuse as well as safeguarding the interests of future generations. The context of a digital object to be preserved over time comprises the representation of all known properties associated...
The article is a condensed journey over UML2SQL: a tool for modeldriven development of data access layer. UML2SQL includes an object query language and allows for behavior modeling based on UML activity diagrams, effectively linking structural and behavioral aspects of the system development. From the general idea of UML2SQL and its origins, we go through the details of its architecture and beyond...
In this chapter we describe a fuzzy logic based approach for providing biologically based motivations to be used by agents in evolutionary behavior learning. In this approach, fuzzy logic provides a fitness measure used in the generation of agents with complex behaviors which respond to user expectations of previously specified motivations. Our approach is implemented in behavior based navigation,...
This paper presents a method intended for designing optimal and safe control for nonlinear dynamical processes. The sought control signal results from elementary control strategies induced by different agents implementing their (partial) task of minimizing a common control cost measure (index). The issue of designing optimal control is therefore treated as a decision process, where the decisions are...
This chapter first presents an extensive review of the current state of art in knowledge management and ontologies. Next, we propose a methodology for modeling and building an ontology-based system for knowledge management in the domain of Neuropediatric Physiotherapy and its application to supporting learning. This area of Physiotherapy includes diagnosis, treatment and evaluation of patients with...
Time series are ubiquitous in all domains of human endeavor. They are generated, stored, and manipulated during any kind of activity. The goal of this chapter is to introduce a novel approach to mine multidimensional time-series data for causal relationships. The main feature of the proposed system is supporting discovery of causal relations based on automatically discovered recurring patterns in...
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