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Exploratory learning structures in artificial cognitive systems

Michael Felsberg, Johan Wiklund, Gösta Granlund
2009 Image and Vision Computing  
The major goal of the COSPAL project is to develop an artificial cognitive system architecture, with the ability to autonomously extend its capabilities.  ...  Exploratory learning is one strategy that allows an extension of competences as provided by the environment of the system.  ...  Acknowledgment We would like to point out that all of this work is based on the close cooperation with our project partners in our partner labs in Kiel, Prague, and Surrey.  ... 
doi:10.1016/j.imavis.2009.02.012 fatcat:onvznubepndjbd3y2soj3q2fk4

From Deep Learning to Deep University: Cognitive Development of Intelligent Systems [chapter]

Mariia Golovianko, Svitlana Gryshko, Vagan Terziyan
2018 Lecture Notes in Computer Science  
Current developments within Cognitive Computing and Deep Learning enable artificial systems to learn and gain human-like cognitive abilities.  ...  We argue that artificial cognitive systems, as well as humans, need special environments, like universities, to train skills of autonomy and creativity.  ...  This article is based upon work from COST (European Cooperation in Science and Technology) Action KEYSTONE IC1302.  ... 
doi:10.1007/978-3-319-74497-1_8 fatcat:uc2xk4uumvgnjffjrfesr63fny

Effect of selank on cognitive processes after damage inflicted to the cerebral catecholamine system during early ontogeny

T. P. Semenova, M. M. Kozlovskaya, N. M. Zakharova, I. I. Kozlovskii, A. V. Zuikov
2007 Bulletin of experimental biology and medicine  
Selank (300 μg/kg) restored cognitive processes disordered by chronic artificial inhibition of the cerebral catecholaminergic system.  ...  Effects of selank on learning, memory, and attention to sensory stimuli of different modality were studied in adult Wistar rats treated with 6-hydroxydopamine (neurotoxin selectively damaging catecholaminergic  ...  brain CA systems caused by hyperproduction of endogenous 6-OHDA in brain structures.  ... 
doi:10.1007/s10517-007-0406-2 pmid:18683497 fatcat:txdilby4vbabxbrzmwt547wgym

Artificial Mental Representation and Creative Pursuit

Kuil Schoneveld
2019 Journal of integrative research & reflection  
Using Paul Smolensky's discussion of symbolic layering, we are then led to the conclusion that artificial neural networks can implement mental representations in creative activities.  ...  This is then formally developed with the work of Geraint Wiggins and merged with contemporary work on mental representation in neural networks.  ...  argue that if the structure of an artificial neuron system mirrors that of a biological one, the cognitive capabilities are also mirrored (Papp et al., 7) .  ... 
doi:10.15353/jirr.v2.1572 fatcat:kcesazw2hna67d7aqpatdj7rkm

Hybrid Approach for Water Demand Prediction Based on Fuzzy Congnitive Maps

G. Jenitha
2017 Indonesian Journal of Electrical Engineering and Computer Science  
<p> In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural  ...  The proposed structure optimization genetic algorithm (SOGA) for automatic construction of FCM is used for modeling complexity based on historical time series, and artificial neural networks (ANNs) which  ...  maps learning and artificial neural networks.  ... 
doi:10.11591/ijeecs.v8.i2.pp567-570 fatcat:yghdmcox5jhcfmrbv66jyczm2a

Page 379 of Psychological Abstracts Vol. 88, Issue 1 [page]

2001 Psychological Abstracts  
It is posit- ed that learners could learn to deal with the duality of structure of social sys- tems (learn to produce and self-reproduce structures as a context for action).  ...  —Notes that when faced with an interface to an unknown system or device humans adopt exploratory interactive behavior in order to gain information and insight.  ... 

Toward a Co-creative Narrative Generation System

Taisuke Akimoto, Takashi Ogata
2016 Transactions of the Japanese society for artificial intelligence  
keywords: narrative, narrative generation system, computational creativity, co-creative interaction between computer and humans Summary Creativity is a challenging topic for artificial intelligence (AI  ...  For engineering purposes, the manner in which creative AI systems provide values to humans and societies is a major concern that should be examined for the future development of AI technologies.  ...  Corchado, Eds., Current Topics in Artificial In- telligence: 12th Conference of the Spanish Association for Artificial Intelligence, LNAI 4788, pp. 150-159, Springer-Verlag (2007) [León 16] León, C.:  ... 
doi:10.1527/tjsai.ai30-o fatcat:ch2eox4y7rh7rb7hjnh6yzji4m

How to build an information gathering and processing system: Lessons from naturally and artificially intelligent systems

Jackie Chappell, Zoe P. Demery, Veronica Arriola-Rios, Aaron Sloman
2012 Behavioural Processes  
We analyse several constraints and design features, and show how they relate both to biological organisms, and to lessons that can be learned from building artificial systems.  ...  Our standpoint overlaps with Karmiloff-Smith (1992) in that we assume that a collection of mechanisms geared to learning and developing in biological environments are available in forms that constrain,  ...  It is part of learning, as well as physical maturation, and it can help to provide the content and structure for cognition.  ... 
doi:10.1016/j.beproc.2011.10.001 pmid:22008634 fatcat:fw77nqedlrhxvatngbawjyjevm

E-Learning Assistant System Based on Virtual Human Interaction Technology [chapter]

Xue Weimin, Xia Wenhong
2007 Lecture Notes in Computer Science  
The virtual human affective interaction is one of the hotspots in information science and cognitive science today. The importance of emotions in learning process is more and more acknowledged.  ...  The results of the practical application virtual human interaction in E-Learning system indicate that virtual human technology can improve the interactivity and entertainment for the E-learners.  ...  E-Learning System Structure In the e-learning process there is often one teacher for most students.  ... 
doi:10.1007/978-3-540-72588-6_90 fatcat:ulglkug5lvgdddznonjdjy22qu

Page 1983 of Computational Linguistics Vol. 24, Issue 1 [page]

1998 Computational Linguistics  
In Proceedings of the Fifth Midwest Artificial Intelligence and Cognitive Society Conference, pages 21-25, Chesterton, IN. ALPAC. 1966. Language and Machine: Computers in Translation and Linguistics.  ...  Journal of Verbal Learning and Verbal Behavior, 22(3):261-95 Anthony, Edward. 1954. An exploratory inquiry into lexical clusters. American Speec h, 29(3):175-180. Arnold, Doug, Louisa Sadler, and R.  ... 

Intelligence to Artificial Creativity

Qinyun Liu, Lin Zou, Sicong Ma, Hongji Yang
2019 International Journal of Performability Engineering  
Then, based on working mechanism of human brain, computer scientists developed neural network algorithm and other machine learning algorithms to generate intelligence.  ...  This article is attempting to answer these questions and to is propose a system to generate creativity. Human intelligence has been researched for years by psychologists and biologists.  ...  Figure 2 . 2 Structure of an artificial creativity system If x t; t contains X, which is a set of some items in T;  X T, Y T & X Y= ;  The confident c and the support of the relationships s are both  ... 
doi:10.23940/ijpe.19.02.p30.654666 fatcat:eiyfdeqblja2bf5ey4ybjs46s4

Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework [article]

Clément Moulin-Frier, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Martì Sanchez-Fibla, Paul F. M. J. Verschure
2017 arXiv   pre-print
In this paper, we argue that the future of Artificial Intelligence research resides in two keywords: integration and embodiment. We support this claim by analyzing the recent advances of the field.  ...  Regarding integration, we note that the most impactful recent contributions have been made possible through the integration of recent Machine Learning methods (based in particular on Deep Learning and  ...  artificial cognitive systems, as well as understanding the role of environmental complexity in the shaping of cognitive complexity.  ... 
arXiv:1704.01407v3 fatcat:jqdvpkzjrnedzpxfz7bxhfn5mm

The Space of Cognitive Vision [chapter]

David Vernon
2006 Lecture Notes in Computer Science  
and cognitive neuroscience, and others yet in cognitive robotics and autonomous systems theory.  ...  Depending on how you choose to view or define cognitive vision, there are many points of departure, some based squarely in artificial intelligence and image processing, others in developmental psychology  ...  Acknowledgments The discussions at Dagstughl seminar 03441 [73] on cognitive vision systems were pivotal in shaping the ideas presented in this paper, alerting us to the necessity of keeping open a broad  ... 
doi:10.1007/11414353_2 fatcat:dalluyravrf7rmwciul4m6ewfa

Page 124 of Behavior Research Methods Vol. 26, Issue 2 [page]

1994 Behavior Research Methods  
A situated cognition ap¬ proach to problem solving with implications for computer-based learn¬ ing and assessment. In G. Salvendy & M.  ...  Cognitive systems engineer¬ ing. In M. Helander (Ed.), Handbook of human-computer interaction (pp. 3-43). Amsterdam: Elsevier. Young, M. F., & McNeese, M. D. (1993).  ... 

Knowledge transformers: A link between learning and creativity

2004 Artificial intelligence for engineering design, analysis and manufacturing  
The purpose of this paper is to investigate whether knowledge transformers which are featured in the learning process, are also present in the creative process.  ...  Hence, it is suggested that one of links between learning and creativity is through the knowledge transformers.  ...  They were able to demonstrate that the types of learning in these systems map into these seven pairs of transformers.  ... 
doi:10.1017/s0890060404040181 fatcat:gcvl5ltowbgrhcvdtcizmcjic4
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