Hybrid intelligent system denotes a software system which employs, in parallel, a combination of methods and techniques from artificial intelligence subfields, such as:
*
Neuro-symbolic systems
*
Neuro-fuzzy systems
* Hybrid connectionist-symbolic models
* Fuzzy
expert systems
*
Connectionist expert systems
*
Evolutionary neural networks
*
Genetic fuzzy systems
*
Rough fuzzy hybridization
*
Reinforcement learning
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learnin ...
with fuzzy, neural, or evolutionary methods as well as symbolic reasoning methods.
From the
cognitive science
Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition (in a broad sense). Mental faculties of concern to cognitive scientists include percep ...
perspective, every natural intelligent system is hybrid because it performs mental operations on both the symbolic and subsymbolic levels. For the past few years, there has been an increasing discussion of the importance of
A.I. Systems Integration. Based on notions that there have already been created simple and specific
AI systems (such as systems for
computer vision
Computer vision tasks include methods for image sensor, acquiring, Image processing, processing, Image analysis, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical ...
,
speech synthesis
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal langua ...
, etc., or software that employs some of the models mentioned above) and now is the time for integration to create broad
AI systems. Proponents of this approach are researchers such as
Marvin Minsky,
Ron Sun,
Aaron Sloman,
Angelo Dalli and
Michael A. Arbib.
An example hybrid is a
hierarchical control system in which the lowest, reactive layers are sub-symbolic. The higher layers, having relaxed time constraints, are capable of reasoning from an abstract world model and performing
planning
Planning is the process of thinking regarding the activities required to achieve a desired goal. Planning is based on foresight, the fundamental capacity for mental time travel. Some researchers regard the evolution of forethought - the cap ...
.
Intelligent systems usually rely on hybrid reasoning processes, which include
induction,
deduction,
abduction and reasoning by
analogy.
See also
*
AI alignment
*
AI effect
*
Applications of artificial intelligence
*
Artificial intelligence systems integration
The core idea of artificial intelligence systems integration is making individual software components, such as speech synthesizers, interoperable with other components, such as common sense knowledgebases, in order to create larger, broader and ...
*
Intelligent control
; Lists
*
List of emerging technologies
This is a list of emerging technologies, which are emerging technologies, in-development technical innovations that have significant potential in their applications. The criteria for this list is that the technology must:
# Exist in some way; ...
*
Outline of artificial intelligence
References
* R. Sun & L. Bookman, (eds.), Computational Architectures Integrating Neural and Symbolic Processes. Kluwer Academic Publishers, Needham, MA. 1994. http://www.cogsci.rpi.edu/~rsun/book2-ann.html
* S. Wermter and R. Sun, (eds.) Hybrid Neural Systems. Springer-Verlag, Heidelberg. 2000. http://www.cogsci.rpi.edu/~rsun/book4-ann.html
* R. Sun and F. Alexandre, (eds.) Connectionist-Symbolic Integration. Lawrence Erlbaum Associates, Mahwah, NJ. 1997.
* Ibaraki, S
Hybrid Intelligence interview with Angelo Dalliin
IEEE
The Institute of Electrical and Electronics Engineers (IEEE) is an American 501(c)(3) organization, 501(c)(3) public charity professional organization for electrical engineering, electronics engineering, and other related disciplines.
The IEEE ...
Technology and Management Society. 2024.
* Albus, J. S., Bostelman, R., Chang, T., Hong, T., Shackleford, W., and Shneier, M
Learning in a Hierarchical Control System: 4D/RCSin the
DARPA LAGR Program NIST, 2006
*
A.S. d'Avila Garcez, Luis C. Lamb &
Dov M. GabbayNeural-Symbolic Cognitive Reasoning Cognitive Technologies, Springer (2009). .
International Journal of Hybrid Intelligent Systems* http://www.iospress.nl/html/14485869.php
* International Conference on Hybrid Intelligent Systems http://his.hybridsystem.com/
* HIS'01: http://www.softcomputing.net/his01/
* HIS'02: https://web.archive.org/web/20060209160923/http://tamarugo.cec.uchile.cl/~his02/
* HIS'03: http://www.softcomputing.net/his03/
* HIS'04: https://web.archive.org/web/20060303051902/http://www.cs.nmt.edu/~his04/
* HIS'05: https://web.archive.org/web/20051223013031/http://www.ica.ele.puc-rio.br/his05/
* HIS'06 https://web.archive.org/web/20110510025133/http://his-ncei06.kedri.info/
* HIS'7 September 17–19, 2007, Kaiserslautern, Germany, http://www.eit.uni-kl.de/koenig/HIS07_Web/his07main.html
* hybrid systems resources: http://www.cogsci.rpi.edu/~rsun/hybrid-resource.html {{Webarchive, url=https://web.archive.org/web/20090925054246/http://www.cogsci.rpi.edu/~rsun/hybrid-resource.html , date=2009-09-25
Artificial intelligence