Combinations of Intelligent Methods and Applications : Proceedings of the 4th International Workshop, CIMA 2014, Limassol, Cyprus, November 2014 (at ICTAI 2014) (Smart Innovation, Systems and Technologies)

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Combinations of Intelligent Methods and Applications : Proceedings of the 4th International Workshop, CIMA 2014, Limassol, Cyprus, November 2014 (at ICTAI 2014) (Smart Innovation, Systems and Technologies)

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  • 製本 Hardcover:ハードカバー版/ページ数 151 p.
  • 言語 ENG
  • 商品コード 9783319268583

Full Description

This volume
includes extended and revised versions of the papers presented at the 4th
Workshop on "Combinations of Intelligent Methods and Applications" (CIMA 2014) which
was intended to become a forum for exchanging experience and ideas among
researchers and practitioners dealing with combinations of different
intelligent methods in Artificial Intelligence. The aim is to create integrated
or hybrid methods that benefit from each of their components. Some of the
existing presented efforts combine soft computing methods (fuzzy logic, neural
networks and genetic algorithms). Another stream of efforts integrates case-based
reasoning or machine learning with soft-computing methods. Some of the
combinations 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 International
Conference on Tools with Artificial Intelligence (ICTAI2014). 

Contents

Evolutionary Landscape and Management of Population Diversity.- Probabilistic
Planning in AgentSpeak Using the POMDP -Framework.- Ant-Based
System Analysis on the Traveling Salesman Problem Under Real_World Settings.- Verifying
Compliance for Business Process Logs with a Hybrid Logic Model Checker.- Smarter
Electricity and Argumentation Theory.- Online Argumentation-based Platform
for Recommending Medical Literature.- Medical Image Processing:
A brief Survey and a New Theoretical Hybrid ACO Model.- Smoke
Detection in Environmental Regions by
Means of Computer Vision.

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