Content Curation Subcommittee Chair

Chang-Shing Lee portrait
Chang-Shing Lee
Content Curation Subcommittee Chair
Department of Computer Science & Information Engineering
National University of Tainan,Taiwan

Content Curation Subcommittee Members

Giovanni Acampora portrait
Giovanni Acampora
Content Curation Subcommittee Members
Department of Physics “Ettore Pancini”
University of Naples Federico II, Italy
Jose M.  Alonso portrait
Jose M. Alonso
Content Curation Subcommittee Members
Research Centre in Information Technologies (CiTIUS)
University of Santiago de Compostela, Spain
Po-Hsun Cheng portrait
Po-Hsun Cheng
Content Curation Subcommittee Members
Department of Software Engineering and Management
National Kaohsiung Normal University, Taiwan
Naoyuki Kubota portrait
Naoyuki Kubota
Content Curation Subcommittee Members
Department of System Design Mechanical Systems Engineering
Tokyo Metropolitan University, Japan
Marie-Jeanne Lesot portrait
Marie-Jeanne Lesot
Content Curation Subcommittee Members
Computer Science
LIP6 – UPMC Laboratoire d’Informatique de Paris 6 Universite Pierre et Marie Curie, France
Yusuke Nojima portrait
Yusuke Nojima
Content Curation Subcommittee Members
Department of Computer Science and Intelligent Systems
Osaka Prefecture University, Japan
Amir Pourabdollah portrait
Amir Pourabdollah
Content Curation Subcommittee Members
School of Science & Technology
Nottingham Trent University, UK
Marek Reformat portrait
Marek Reformat
Content Curation Subcommittee Members
Department of Electrical and Computer Engineering
University of Alberta, Canada
Jose M.  Soto Hidalgo portrait
Jose M. Soto Hidalgo
Content Curation Subcommittee Members
Department of Electronics and Computer Engineering
University of Cordoba, Spain

Aim

  • Work on organizing CIS-related materials, from whatever source, in collaboration with the Technical Committees
  • Make an improvement in the quantity and quality of information available for anyone getting into any sub-area of CI, or into CI in general
  • Create an AI-FML website and update over time (for example, twice per year) by re-running the survey on CI and AI
  • Users of this website based on IEEE CIS will find this content in the form of articles, case studies, videos and presentations

Content Curation Subcommittee Chair

Chang-Shing Lee portrait
Chang-Shing Lee
Content Curation Subcommittee Chair
Department of Computer Science & Information Engineering
National University of Tainan,Taiwan

Content Curation Subcommittee Members

Giovanni Acampora portrait
Giovanni Acampora
Content Curation Subcommittee Members
Department of Physics “Ettore Pancini”
University of Naples Federico II, Italy
Jose M.  Alonso portrait
Jose M. Alonso
Content Curation Subcommittee Members
Research Centre in Information Technologies (CiTIUS)
University of Santiago de Compostela, Spain
Po-Hsun Cheng portrait
Po-Hsun Cheng
Content Curation Subcommittee Members
Department of Software Engineering and Management
National Kaohsiung Normal University, Taiwan
Naoyuki Kubota portrait
Naoyuki Kubota
Content Curation Subcommittee Members
Department of System Design Mechanical Systems Engineering
Tokyo Metropolitan University, Japan
Marie-Jeanne Lesot portrait
Marie-Jeanne Lesot
Content Curation Subcommittee Members
Computer Science
LIP6 – UPMC Laboratoire d’Informatique de Paris 6 Universite Pierre et Marie Curie, France
Yusuke Nojima portrait
Yusuke Nojima
Content Curation Subcommittee Members
Department of Computer Science and Intelligent Systems
Osaka Prefecture University, Japan
Amir Pourabdollah portrait
Amir Pourabdollah
Content Curation Subcommittee Members
School of Science & Technology
Nottingham Trent University, UK
Marek Reformat portrait
Marek Reformat
Content Curation Subcommittee Members
Department of Electrical and Computer Engineering
University of Alberta, Canada
Jose M.  Soto Hidalgo portrait
Jose M. Soto Hidalgo
Content Curation Subcommittee Members
Department of Electronics and Computer Engineering
University of Cordoba, Spain

Contents

https://docs.google.com/forms/d/e/1FAIpQLScpO1WnN49EFpanJYkD6sdvOjrB4EKioAl7D05qTWKBIZBcsw/viewform?usp=sf_link

https://gaigresearch.github.io/gameaisurvey/software-libraries-and-tools

Survey to the AI-FML supported by TFs of FSTC and IFSA

https://sites.google.com/asap.nutn.edu.tw/ai-fml-international-academy/home?authuser=0

IEEE CIS Video Collection:

https://ieeetv.ieee.org/channels/computational-intelligence?tab=allvideos

 

This teaching pack is designed to introduce a number of evolutionary algorithms to 14 to 18-year-olds.

The pack comprises:

  • An interactive PowerPoint presentation featuring key facts and introductory information on optimisation and how evolutionary algorithms can be used to solve optimisation problems.
  • Provides a basic introduction to one of the most fundamental evolutionary algorithms known as the genetic algorithms.
  • Introduces a simple Knapsack activity- how do you choose which items to take on a hike when your Knapsack has a weight limit.
  • An interactive demo exploring how evolutionary algorithms can solve the knapsack problem.

 

The interactive Evolutionary Computation slides can be downloaded as a pdf here.

 optimization knapsack geneticalgorithm mutation

 

Video Materials

Watch this inspiring video by the 2013 IEEE Computational Intelligence Society Video Competition Winners

Evolutionary Computation - A Technology Inspired by Nature

videocomp2013 ec

This downloadable demo looks at how a number of evolutionary algorithms can be used to try and solve the Knapsack Problem.

Imagine, you are going on an overnight hike and have a number of items that you could take along. Each item has a weight (in pounds) and a benefit or value to you on the hike (for measurement's sake let us say, in US dollars), and you can take one of each item at most. There is a capacity limit on the weight you can carry (known as a constraint). This problem only illustrates one constraint, but in reality, there could be many constraints including volume, time, etc.

This demo explores how we can solve this problem using 4 different evolutionary algorithms!

01knapsackproblem

 

Running the Demo

Download the demo here and save to your machine.
Unzip the file and run.

Important Note

The demo is compatible only with 32 and 64 bit Windows.

This teaching pack designed to introduce Fuzzy Logic to 14 to 18-year-olds. The aim of the pack is to engage students with basic concepts of fuzzy logic, see how fuzzy logic can impact our lives and have fun!

The pack comprises:

  • An interactive PowerPoint presentation featuring key facts and introductory information on fuzzy logic and fuzzy systems
  • Two activity sheets, which can be completed as part of the tutorial in the classroom
  • A Teachers lesson plan giving suggestions on how to use the teaching pack with timings for each section and a guide on how to run the activities

The Fuzzy Logic Teaching Pack can be downloaded as a zip file here.

fuzzylogicteachingpack1

 

fuzzylogicteachingpack2

 

fuzzylogicteachingpack3

 

If you use the pack, we would be grateful for your feedback to improve the content. Please complete the online short evaluation questionnaire found here.

 

Video Materials

The two winners of the fuzzy logic YouTube video competition held by the IEEE CIS Pre-college Education subcommittee in 2011:

1) An Egg-Boiling Fuzzy Logic Robot: KIOS Research Center for Intelligent Systems and Networks, University of Cyprus

fuzzy logic

2) Fuzzy Logic: An Introduction: DeMontfort University, Leicester, England.

demontfot fuzzy logic