Abstract
This chapter introduces the basic understanding of an operational event in terms of identification, prioritization and a possible resolution plan. The chapter first reviews the existing literature on event monitoring and management (EMM) applicable in a collaborative business network. Then, it highlights the EMM from the perspectives of a networked business. Next, it discusses different types of events commonly available within a business network. Further, the chapter articulates the overview of business collaboration in a non-hierarchical network (NHN), and outlines the ontology-based approach for collaborative EMM. An example is illustrated, based on information and communication technology (ICT)-based phenomenon applicable for collaborative EMM. The basic outcomes of this research are discussed. The chapter closes with a discussion on future research directions. ©2013 by John Wiley & Sons, Inc.

Abstract
Fault detection has been an open problem in power converters for several years. In this paper, we aim at detecting faults by means of left invertibility techniques. Using a mathematical model of the power converter it is possible to exploit the principle of injectivity of I/O map, which allows the recovery of unknown inputs applied to the system from the measure of the outputs. To achieve this end, we utilize the existing current and voltage sensors of the converter without the need for any additional sensors. Finally, a case-study of a multiport converter is presented and simulated to illustrate the methodology. Experimental results obtained under realistic conditions illustrate the effectiveness of the scheme and prove that fault detection based on the inverse method is possible.

Abstract
This paper introduces the multi-agent systems paradigm and presents some industrial applications of this AI approach, namely in manufacturing, handling and logistics domains. The road-blockers for the current weak adoption of this technology in industry are also discussed, and finally the current trends and several future challenges are pointed out to increase the wider dissemination and acceptance of the multi-agent technology in industry.

Abstract

Abstract
Since the automotive industry is one of the most competitive markets, key players should be capable of evolving their management strategy from a reactive to proactive approach. This way, it is critical for this type of companies to explore a new performance management approach where an effective interaction between the strategic and operational layers should be achieved. In line with this vision, a framework is presented that helps stakeholders make decisions based on the ability to anticipate future performance behaviours. Using leading indicators as reference, the key idea is to structure and model the existing knowledge within a mathematical tool, in order to project the manufacturing system's behaviour into the future. In order to show the reliability and importance of this framework, this paper presents a research performed at an automotive plant. The aim is to model the factors affecting energy consumption and thus estimate the future behaviour in terms of sustainability issues.

Abstract
In this paper we approach the semantic heterogeneity problem which arises in agent mediated electronic commerce, presenting the AEMOS system as a promising answer. AEMOS is an agent mediated electronic commerce platform which main goal is to enable an efficient and transparent negotiation between agents even when they use different ontologies to represent the same domain of knowledge. The system provides ontology services, more specifically ontology matching services, which are improved by the exploitation of emergent social networks. In this paper we present the currently implemented system and demonstrate how an agent mediated electronic commerce system may benefit from the inclusion and combination of ontology services and social network based support.