Ioannis Hatzilygeroudis – 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). 

This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016. 

The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.

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.

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.  The 3rd Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2012) 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 2012 was held in conjunction with the 22nd European Conference on Artificial Intelligence (ECAI 2012). This volume includes revised versions of the papers presented at CIMA 2012.