Ilias Petrounias – författare

The purpose of this volume is to foster and present new directions and so- tionsinbroadlyperceivedintelligentsystems.Theemphasisisonconstructive approaches that can be of utmost important for a further progress and imp- mentability. The volume is focused around a crucial prerequisite for developing and implementing intelligent systems, namely to computationally represent and manipulate knowledge (both theory and information), augmented by an ab- ity to operationally deal with large-scale knowledge bases, complex forms of situation assessment, sophisticated value-based modes of reasoning, and - tonomic and autonomous system behaviours. These challenges exceed the capabilities and performance capacity of c- rent open standards, approaches to knowledge representation, management and system architectures. The intention of the editors and contributors of this volume is to present tools and techniques that can help in ?lling this gap. New system architectures must be devised in response to the needs of exhibiting intelligent behaviour, cooperate with users and other systems in problemsolving,discovery,access,retrievalandmanipulationofawidevariety of “data” and knowledge, and reason under uncertainty in the context of a knowledge-based economy and society.

The purpose of this volume is to foster and present new directions and so- tionsinbroadlyperceivedintelligentsystems.Theemphasisisonconstructive approaches that can be of utmost important for a further progress and imp- mentability. The volume is focused around a crucial prerequisite for developing and implementing intelligent systems, namely to computationally represent and manipulate knowledge (both theory and information), augmented by an ab- ity to operationally deal with large-scale knowledge bases, complex forms of situation assessment, sophisticated value-based modes of reasoning, and - tonomic and autonomous system behaviours. These challenges exceed the capabilities and performance capacity of c- rent open standards, approaches to knowledge representation, management and system architectures. The intention of the editors and contributors of this volume is to present tools and techniques that can help in ?lling this gap. New system architectures must be devised in response to the needs of exhibiting intelligent behaviour, cooperate with users and other systems in problemsolving,discovery,access,retrievalandmanipulationofawidevariety of “data” and knowledge, and reason under uncertainty in the context of a knowledge-based economy and society.

The purpose of this volume is to foster and present new directions and so- tionsinbroadlyperceivedintelligentsystems.Theemphasisisonconstructive approaches that can be of utmost important for a further progress and imp- mentability. The volume is focused around a crucial prerequisite for developing and implementing intelligent systems, namely to computationally represent and manipulate knowledge (both theory and information), augmented by an ab- ity to operationally deal with large-scale knowledge bases, complex forms of situation assessment, sophisticated value-based modes of reasoning, and - tonomic and autonomous system behaviours. These challenges exceed the capabilities and performance capacity of c- rent open standards, approaches to knowledge representation, management and system architectures. The intention of the editors and contributors of this volume is to present tools and techniques that can help in ?lling this gap. New system architectures must be devised in response to the needs of exhibiting intelligent behaviour, cooperate with users and other systems in problemsolving,discovery,access,retrievalandmanipulationofawidevariety of “data” and knowledge, and reason under uncertainty in the context of a knowledge-based economy and society.

This volume constitutes the proceedings of the 7th IFIP WG 8.1 Conference on the Practice of Enterprise Modeling held in November 2014 in Manchester, UK.The focus of the PoEM conference series is on advances in the practice of enterprise modeling through a forum for sharing knowledge and experiences between the academic community and practitioners from industry and the public sector.The 16 full and four short papers accepted were carefully reviewed and selected from 39 submissions. They reflect different topics of enterprise modeling including business process modeling, enterprise architecture, investigation of enterprise modeling methods, requirements engineering, and specific aspects of enterprise modeling.