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Biologically inspired cognitive architectures (BICA) for young scientists : proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017) /

This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, new format that puts a school in direct connection with a conference and a social program, all dedicated to young scientists. Reflecting the...

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Bibliographic Details
Corporate Authors: First International Early Research Career Enhancement School on BICA and Cybersecurity (Conference) Moscow, Russia), SpringerLink (Online service)
Other Authors: Samsonovich, Alexei V., (Editor), Klimov, Valentin V., (Editor)
Format: Online Conference Proceeding Book
Language:English
Published: Cham, Switzerland : Springer, [2018].
Series:Advances in intelligent systems and computing ; 636.
Subjects:
Online Access:Online version
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245 1 0 |a Biologically inspired cognitive architectures (BICA) for young scientists :  |b proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017) /  |c Alexei V. Samsonovich, Valentin V. Klimov, editors. 
246 3 |a FIERCES 2017 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2018]. 
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490 1 |a Advances in intelligent systems and computing ;  |v volume 636 
500 |a International conference proceedings. 
505 0 |a Preface; Merging Biologically Inspired Cognitive Architectures and Cybersecurity; Organization; Program Committee; Core Organizing Committee of BICA 2017; Contents; Abstract; Biologically Inspired Cognitive Architectures; Task Planning in ``Block World'' with Deep Reinforcement Learning; 1 Introduction; 2 Problem Statement; 3 Experiments; 4 Reward Function; 5 Implemented Neural Architectures; 5.1 Convolutional Network; 5.2 Recurrent Net; 5.3 Q-Learning; 6 Testing the Hypothesis with Simple Model; 7 Conclusions; References 
505 8 |a Discrete Modeling of Multi-transmitter Neural Networks with Neuronal CompetitionAbstract; 1 Introduction; 2 Related Work; 3 Multitransmitter Neural System; 3.1 Main Definitions; 3.2 Excitation and Inhibition; 3.3 Neuronal Types; 3.4 Neuronal Competition and Model Dynamics; 4 Example: Snail Feeding Rhythm; 5 Conclusion; References; A Simple Virtual Actor Model Supporting Believable Character Reasoning in Virtual Environments; Abstract; 1 Introduction; 2 Virtual Actor Model; 3 The Teleport Paradigm; 4 Virtual Actor Embedded in the Teleport Paradigm 
505 8 |a 4.1 General Description of the Model and Its Parameters4.2 Algorithms and Rules of Dynamics; 5 Experimental Testing; 5.1 Settings, Participants and Procedures; 5.2 Results and Discussion; 6 Conclusions; Acknowledgments; References; Intelligent Search System for Huge Non-structured Data Storages with Domain-Based Natural Language Interface; Abstract; 1 Introduction; 2 Natural Language Understanding and Processing; 3 Rectification of Queries with Semantic Mapping; 4 System Description; 5 Conclusion; Acknowledgements; References 
505 8 |a Modeling Behavior of Virtual Actors: A Limited Turing Test for Social-Emotional IntelligenceAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Virtual Environment Simulator; 2.2 Experimental Paradigm; 2.3 Data Acquisition and Analysis; 2.4 Virtual Actor; 2.5 Subjects and Procedure; 3 Result; 3.1 Result and Analysis; 4 Discussion; 4.1 Summary, Interpretation and Implications of the Outcome; 4.2 Future Work; 4.3 Conclusions; Acknowledgment; References; Rethinking BICA's R&D Challenges: Grief Revelations of an Upset Revisionist; Abstract; 1 Introduction; 2 What is Information? 
505 8 |a 3 Rethinking BICA4 Conclusions; References; A Roadmap to Emotionally Intelligent Creative Virtual Assistants; Abstract; 1 Introduction; 2 The Concept of an Emotional Creative Assistant; 2.1 eRobodanza; 2.2 eArtist; 2.3 eActor; 3 Approach and Methodology; 3.1 From Robodanza to eRobodanza; 3.2 Cognitive Architecture; 3.3 Toward eArtist; 4 Concluding Outline of the Roadmap; 5 Discussion of Related Work; 6 Conclusions; Acknowledgments; References; Applying a Neural Network Architecture with Spatio-Temporal Connections to the Maze Exploration; 1 Introduction; 2 Formal Problem 
500 |a Includes author index. 
506 |a Electronic access restricted to Villanova University patrons. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed August 9, 2017). 
520 |a This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, new format that puts a school in direct connection with a conference and a social program, all dedicated to young scientists. Reflecting the friendly, social atmosphere of excitement and opportunity, the papers represent a good mixture of cutting-edge research focused on advances towards the most inspiring challenges of our time and first ambitious attempts at major challenges by as yet unknown, talented young scientists. In this second year of FIERCES, the BICA Challenge (to replicate all the essential aspects of the human mind in the digital environment) meets the Cybersecurity Challenge (to protect all the essential assets of the human mind in the digital environment), which is equally important in our age. As a result, the book fosters lively discussions on today?s hot topics in science and technology, and stimulates the emergence of new cross-disciplinary, cross-generation and cross-cultural collaboration. FIERCES 2017, or the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures and Cybersecurity, was held on August 1?5 at the Baltschug Kempinski in Moscow, Russia. 
650 0 |a Natural computation  |v Congresses. 
650 0 |a Artificial intelligence  |v Congresses. 
650 0 |a Computer security  |v Congresses. 
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655 7 |a Conference papers and proceedings.  |2 fast  |0 (OCoLC)fst01423772 
700 1 |a Samsonovich, Alexei V.,  |e editor. 
700 1 |a Klimov, Valentin V.,  |e editor. 
710 2 |a SpringerLink (Online service) 
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830 0 |a Advances in intelligent systems and computing ;  |v 636. 
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