Jim Prentzas – författare

This volumeincludes extended and revised versions of the papers presented at the 4thWorkshop on “Combinations of Intelligent Methods and Applications” (CIMA 2014) whichwas intended to become a forum for exchanging experience and ideas amongresearchers and practitioners dealing with combinations of differentintelligent methods in Artificial Intelligence. The aim is to create integratedor hybrid methods that benefit from each of their components. Some of theexisting presented efforts combine soft computing methods (fuzzy logic, neuralnetworks and genetic algorithms). Another stream of efforts integrates case-basedreasoning or machine learning with soft-computing methods. Some of thecombinations have been more widely explored, like neuro-symbolic methods,neuro-fuzzy methods and methods combining rule-based and case-based reasoning.CIMA 2014 was held in conjunction with the 26th IEEE InternationalConference on Tools with Artificial Intelligence (ICTAI2014).

Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved. This book presents a number of current efforts that use combinations of methods or techniques to solve complex problems in the areas of sentiment analysis, search in GIS, graph-based social networking, intelligent e-learning systems, data mining and recommendation systems. Most of them are connected with specific applications, whereas the rest are combinations based on principles. Most of the chapters are extended versions of the corresponding papers presented in CIMA-15 Workshop, which took place in conjunction with IEEE ICTAI-15, in November 2015. The rest are invited papers that responded to special call for papers for the book. The book is addressed to researchers and practitioners from academia or industry, who are interested in using combined methods in solving complex problems in the above areas.

This volumeincludes extended and revised versions of the papers presented at the 4thWorkshop on “Combinations of Intelligent Methods and Applications” (CIMA 2014) whichwas intended to become a forum for exchanging experience and ideas amongresearchers and practitioners dealing with combinations of differentintelligent methods in Artificial Intelligence. The aim is to create integratedor hybrid methods that benefit from each of their components. Some of theexisting presented efforts combine soft computing methods (fuzzy logic, neuralnetworks and genetic algorithms). Another stream of efforts integrates case-basedreasoning or machine learning with soft-computing methods. Some of thecombinations have been more widely explored, like neuro-symbolic methods,neuro-fuzzy methods and methods combining rule-based and case-based reasoning.CIMA 2014 was held in conjunction with the 26th IEEE InternationalConference on Tools with Artificial Intelligence (ICTAI2014).

Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved.

The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components. Some of the existing efforts combine soft computing methods either among themselves or with more traditional AI methods such as logic and rules. Another stream of efforts integrates machine learning with soft-computing or traditional AI methods. Yet another integrates agent-based approaches with logic and also non-symbolic approaches. Some of the combinations have been quite important and more extensively used, like neuro-symbolic methods, neuro-fuzzy methods and methods combining rule-based and case-based reasoning. However, there are other combinations that are still under investigation, such as those related to the Semantic Web. The 2nd Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2010) was intended to become a forum for exchanging experience and ideas among researchers and practitioners who are dealing with combining intelligent methods either based on first principles or in the context of specific applications. CIMA 2010 was held in conjunction with the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010). Also, a special track was organized in ICTAI 2010, under the same title.  This volume includes revised versions of the papers presented in CIMA 2010 and one of the short papers presented in the corresponding ICTAI 2010 special track. It also includes a paper of the editors as invited.