Hybrid Intelligent Systems in Ubiquitous Computing

In this chapter hybrid approach to development of intelligent systems is applied to ubiquitous computing systems, in particular, to smart environment. Different classifications of Hybrid Intelligent Systems (HIS) are looking and two examples of hybrid approach for smart environment are suggested: framework based on expert system and neural network for programming of behavior of smart objects and paradigm of context-based programming-learning of behavior of intelligent agent. Besides this chapter offers an attempt to systematize concepts for development of HIS as any introduction to methodology for development of HIS is suggested. Author hopes that this chapter will be useful for researchers and developers to better understand challenges in development of ambient intelligence and possible ways to overcome them.

[1]  Zili Zhang,et al.  Agent-Based Hybrid Intelligent Systems , 2004, Lecture Notes in Computer Science.

[2]  Andrey V. Gavrilov,et al.  A combination of neural and semantic networks in natural language processing , 2003, 7th Korea-Russia International Symposium on Science and Technology, Proceedings KORUS 2003. (IEEE Cat. No.03EX737).

[3]  Sukhdev Khebbal,et al.  Intelligent Hybrid Systems , 1994 .

[4]  Twan Basten,et al.  Ambient Intelligence: Impact on Embedded Sytem Design , 2003, Springer US.

[5]  Richard Vidgen,et al.  Agile and Lean Service-Oriented Development: Foundations, Theory, and Practice , 2012 .

[6]  Andrey Gavrilov,et al.  Context and Learning Based Approach to Programming of Intelligent Equipment , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

[7]  Kang-Hyun Jo,et al.  Hybrid neural-based control system for mobile robot , 2004, Proceedings. The 8th Russian-Korean International Symposium on Science and Technology, 2004. KORUS 2004..

[8]  Hans-Arno Jacobsen,et al.  A generic architecture for hybrid intelligent systems , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[9]  Liliana Favre Model Driven Architecture for Reverse Engineering Technologies: Strategic Directions and System Evolution , 2010 .

[10]  Guido Bugmann,et al.  Training Personal Robots Using Natural Language Instruction , 2001, IEEE Intell. Syst..

[11]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[12]  Marc Conrad Teaching Project Management with Second Life , 2011 .

[13]  Yasuo Morooka,et al.  Fuzzy and Neural Hybrid Expert Systems: Synergetic AI , 1995, IEEE Expert.

[14]  Jianchao Han,et al.  Granular Computing in Object-Oriented Software Development Process , 2010 .

[15]  Brian C. Williams,et al.  Model-based programming of intelligent embedded systems and robotic space explorers , 2003, Proc. IEEE.

[16]  Albert Y. Zomaya Handbook of Nature-Inspired and Innovative Computing - Integrating Classical Models with Emerging Technologies , 2006 .

[17]  A. Cipriano Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing- [Book review] , 2005, IEEE Power and Energy Magazine.

[18]  James H. Aylor,et al.  Computer for the 21st Century , 1999, Computer.

[19]  Mohammed Samaka Robot Task-Level Programming Language and Simulation , 2007 .

[20]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[21]  Jun Wang Computational Intelligence In Manufacturing Handbook , 2000 .

[22]  M. Tim Jones Artificial Intelligence: A Systems Approach , 2007 .

[23]  Chengqi Zhang,et al.  Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving , 2004 .

[24]  Mahadev Satyanarayanan,et al.  Pervasive computing: vision and challenges , 2001, IEEE Wirel. Commun..

[25]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[26]  Gregory D. Hager,et al.  A Comparative Review of Robot Programming Languages , 2003 .

[27]  Robin R. Murphy,et al.  Introduction to AI Robotics , 2000 .

[28]  A.V. Gavrilov Usage of neural networks in ubiquitous computing systems , 2008, 2008 Third International Forum on Strategic Technologies.

[29]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[30]  Hao Jiang,et al.  Sharing Usability Information: A Communication Paradox , 2012 .

[31]  Jacek M. Zurada,et al.  Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I , 2010, International Conference on Artificial Intelligence and Soft Computing.

[32]  Artur Lugmayr Media in the Ubiquitous Era: Ambient, Social and Gaming Media , 2011 .

[33]  Mika Rautiainen,et al.  P2P SCCM: Service-Oriented Community Coordinated Multimedia over P2P , 2008, 2008 IEEE Congress on Services Part II (services-2 2008).

[34]  Seppo J. Ovaska Computationally Intelligent Hybrid Systems , 2004 .

[35]  Larry R. Medsker,et al.  Hybrid Intelligent Systems , 1995, Springer US.

[36]  Sungyoung Lee,et al.  Developing Context-Aware Ubiquitous Computing Systems with a Unified Middleware Framework , 2004, EUC.

[37]  Andrey V. Gavrilov,et al.  The toolkit for development of hybrid expert systems , 2001, 5th Korea-Russia International Symposium on Science and Technology. Proceedings. KORUS 2001 (Cat. No.01EX478).

[38]  Gian Luca Foresti,et al.  Ambient Intelligence: A Novel Paradigm , 2004 .

[39]  Larry R. Medsker,et al.  Models and Guidelines for Integrating Expert Systems and Neural Networks , 1992 .

[40]  Constantine D. Spyropoulos,et al.  HUMAN-ROBOT INTERACTION BASED ON SPOKEN NATURAL LANGUAGE DIALOGUE , 2001 .

[41]  Stefan Wermter,et al.  Hybrid neural systems: from simple coupling to fully integrated neural networks , 1999 .

[42]  Tatiana Gavrilova,et al.  Orchestrating Ontologies for Courseware Design , 2010 .

[43]  Toshinori Munakata,et al.  Fundamentals of the New Artificial Intelligence - Neural, Evolutionary, Fuzzy and More, Second Edition , 2007, Texts in Computer Science.

[44]  Jacek M. Zurada,et al.  Artificial Intelligence and Soft Computing , 2014, Lecture Notes in Computer Science.

[45]  Ferenc Vajda,et al.  High-Level Object-Oriented Program Language for Mobile Microrobot Control , 2003 .

[46]  Nitaigour P. Mahalik,et al.  Sensor Networks and Configuration: Fundamentals, Standards, Platforms, and Applications , 2006 .

[47]  Alex M. Andrew,et al.  Intelligent Hybrid Systems , 1999 .

[48]  Andrey Gavrilov,et al.  Hybrid Rule and Neural Network Based Framework for Ubiquitous Computing , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[49]  A. Kohlhase,et al.  “Social Tagging and Learning: The Fuzzy Line between Private and Public Space” , 2010 .

[50]  Horst Bunke,et al.  Hybrid methods in pattern recognition , 1987 .

[51]  Michael Negnevitsky,et al.  Artificial Intelligence: A Guide to Intelligent Systems , 2001 .

[52]  Wenjia Ding Development of Intellectual Property of Communications Enterprise and Analysis of Current Situation of Patents in Emerging Technology Field , 2011, Int. J. Adv. Pervasive Ubiquitous Comput..

[53]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[54]  Mário Rodrigues,et al.  Towards a personal robot with language interface , 2003, INTERSPEECH.

[55]  Oscar Castillo,et al.  Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing - An Evolutionary Approach for Neural Networks and Fuzzy Systems , 2005, Studies in Fuzziness and Soft Computing.

[56]  Jean Paul Meynard Control of industrial robots through high-level task programming , 2000 .

[57]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[58]  M. Beetz,et al.  RPL/sub LEARN/: extending an autonomous robot control language to perform experience-based learning , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[59]  Paul Hudak,et al.  Arrows, Robots, and Functional Reactive Programming , 2002, Advanced Functional Programming.

[60]  W. R. Howard,et al.  Computationally Intelligent Hybrid Systems – A Fusion of Soft Computing and Hard Computing , 2006 .

[61]  A. V. Gavrilov THE PRINCIPLES OF ACTION OF INTELLIGENT SYSTEMS , 2003 .

[62]  Ulrike Thomas,et al.  Robot Programming-From Simple Moves to Complex Robot Tasks , 2002 .

[63]  Sungyoung Lee,et al.  Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot , 2009, ICIC.

[64]  Stefan Wermter,et al.  A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning , 1998, Hybrid Neural Systems.

[65]  Young-Koo Lee,et al.  A distributed middleware solution for context awareness in ubiquitous systems , 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

[66]  A. V. Gavrilov,et al.  THE PRINCIPLES OF ACTION OF INTELLIGENT SYSTEMS 1 , 2007 .