Biologically inspired cognitive architectures (BICA) for young scientists: proceedings of the First International Early Research Career Enhancement School (FIERCES 2016)
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Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
[Cham]
Springer
[2016]
|
Schriftenreihe: | Advances in intelligent systems and computing
volume 449 |
Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
Beschreibung: | 1 Online-Ressource (x, 306 Seiten) |
ISBN: | 9783319325545 |
DOI: | 10.1007/978-3-319-32554-5 |
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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 (FIERCES 2016) |c Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina editors |
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adam_text | BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA) FOR YOUNG
SCIENTISTS
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
MODELS OF AUTONOMOUS COGNITIVE AGENTS
DIFFERENTIATION OF GROUNDWATER TAX RATES AS AN ELEMENT OF IMPROVING THE
ECONOMIC MECHANISM IN THE STATE GROUNDWATER EXTRACTION MANAGEMENT
USERS OF INFORMATION SYSTEMS PROTECTION ANALYSIS FROM MALEFACTOR S
SOCIAL ENGINEERING ATTACKS TAKING INTO ACCOUNT MALEFACTOR S COMPETENCE
PROFILE
CHARACTER REASONING OF THE SOCIAL NETWORK USERS ON THE BASIS OF THE
CONTENT CONTAINED ON THEIR PERSONAL PAGES
BAYESIAN OPTIMIZATION OF SPIKING NEURAL NETWORK PARAMETERS TO SOLVING
THE TIME SERIES CLASSIFFCATION TASK
SIMULATION OF LEARNING IN NEURONAL CULTURE
UNSUPERVISED NEURAL ARCHITECTURE FOR SALIENCY DETECTION: EXTENDED
VERSION
ACTIVE ADAPTATION OF EXPERT-BASED SUGGESTIONS IN LADIESWEAR RECOMMENDER
SYSTEM LOOKBOOKSCLUB VIA REINFORCEMENT LEARNING
VISUAL ANALYTICS SUPPORT FOR CARBON NANOTUBE DESIGN AUTOMATION
A MODEL OF NEURODYNAMICS OF HIPPOCAMPAL FORMATION NEURONS PERFORMING
SPATIAL PROCESSING BASED ON EVEN CYCLIC INHIBITORY NETWORKS
FEATURE SELECTION FOR TIME-SERIES PREDICTION IN CASE OF UNDETERMINED
ESTIMATION
A NEW APPROACH FOR SEMANTIC COGNITIVE MAPS CREATION AND EVALUATION BASED
ON AFFIX RELATIONS
ON ALTERNATIVE INSTRUMENTS FOR THE FMRI DATA ANALYSIS: GENERAL LINEAR
MODEL VERSUS ALGEBRAIC TOPOLOGY APPROACH
APPLICATION OF HOPFIELD NEURAL NETWORK TO THE N-QUEENS PROBLEM
SIMULATION OF A FEAR-LIKE STATE ON A MODEL OF DOPAMINE SYSTEM OF RAT
BRAIN
SPATIAL AND TEMPORAL PARAMETERS OF EYE MOVEMENTS DURING VIEWING OF
AFFECTIVE IMAGES
MEG DATA ANALYSIS USING THE EMPIRICAL MODE DECOMPOSITION METHOD
EVOLUTIONAL APPROACH TO IMAGE PROCESSING ON THE EXAMPLE OF MICROSECTIONS
COGNOVISOR FOR THE HUMAN BRAIN: TOWARDS MAPPING OF THOUGHT PROCESSES
BY A COMBINATION OF FMRI AND EYE-TRACKING
DYNAMIC INTELLIGENT SYSTEMS INTEGRATION AND EVOLUTION OF INTELLIGENT
CONTROL SYSTEMS ARCHITECTURES
AUTOMATED PLANNING: USAGE FOR INTEGRATED EXPERT SYSTEMS CONSTRUCTION
SOME ASPECTS OF TEMPORAL KNOWLEDGE ACQUISITION AND REPRESENTATION IN
DYNAMIC INTEGRATED EXPERT SYSTEMS
COLLABORATION OF ALL-PURPOSE STATIC SOLVER, TEMPORAL REASONING AND
SIMULATION MODELING TOOLS IN DYNAMIC INTEGRATED EXPERT SYSTEMS
SOME ASPECTS OF INTELLECTUAL TUTORING BASED ON THE INTEGRATED TUTORING
EXPERT SYSTEMS USAGE
TO THE QUESTION OF LEARNABILITY OF A SPIKING NEURON WITH
SPIKE-TIMING-DEPENDENT PLASTICITY IN CASE OF COMPLEX INPUT SIGNALS
CAUSAL INTERACTIONS WITHIN THE DEFAULT MODE NETWORK AS REVEALED BY
LOW-FREQUENCY BRAIN FLUCTUATIONS AND INFORMATION TRANSFER ENTROPY
HIERARCHICAL TEMPORAL MEMORY IMPLEMENTATION WITH EXPLICIT STATES
EXTRACTION
SWARM MELIF: FEATURE SELECTION WITH FILTER COMBINATION FOUND VIA SWARM
INTELLIGENCE
AGENT-BASED MODEL OF INTERACTIONS IN THE COMMUNITY OF INVESTORS AND
PRODUCERS
PATTERNS OF SPIKING ACTIVITY OF NEURONAL NETWORKS IN VITRO AS MEMORY
TRACES
THE COMPETENCY MANAGEMENT BASED ON ONTOLOGIES: ISSUES OF USING IN
ORGANIZATIONS
THE APPROACH TO MODELING OF SYNCHRONIZED BURSTING IN NEURONAL CULTURE
USING A MATHEMATICAL MODEL OF A NEURON WITH AUTOREGULATION MECHANISM
DYNAMIC CLUSTERING OF CONNECTIONS BETWEEN FMRI RESTING STATE NETWORKS: A
COMPARISON OF TWO METHODS OF DATA ANALYSIS
NEURAL NETWORK SOLUTION OF AN INVERSE PROBLEM IN RAMAN SPECTROSCOPY OF
MULTI-COMPONENT SOLUTIONS OF INORGANIC SALTS
PREDICTION OF RELATIVISTIC ELECTRONS FLUX IN THE OUTER RADIATION BELT OF
THE EARTH USING ADAPTIVE METHODS
COMPARATIVE ANALYSIS OF RESIDUAL MINIMIZATION AND ARTIFICIAL NEURAL
NETWORKS AS METHODS OF SOLVING INVERSE PROBLEMS: TEST ON MODEL DATA
A BIOLOGICALLY INSPIRED ARCHITECTURE FOR VISUAL SELF-LOCATION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA) FOR YOUNG
SCIENTISTS
/
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK PRESENTS CUTTING-EDGE RESEARCH FOCUSED ON CURRENT CHALLENGES
TOWARDS THE REALIZATION OF BIOLOGICALLY INSPIRED INTELLIGENT AGENTS, OR
COGNITIVE ARCHITECTURES (BICA). THE CHAPTERS ARE WRITTEN BY BOTH
WORLD-RECOGNIZED EXPERTS (INCLUDING ANTONIO CHELLA, OLIVIER GEORGEON,
OLIVER KUTZ, ANTONIO LIETO, DAVID VERNON, PAUL VERSCHURE, AND OTHERS)
AND YOUNG RESEARCHERS. TOGETHER, THEY CONSTITUTE A GOOD MIXTURE OF NEW
FINDINGS WITH TUTORIAL-BASED REVIEWS AND POSITION PAPERS, ALL PRESENTED
AT THE FIRST INTERNATIONAL EARLY RESEARCH CAREER ENHANCEMENT SCHOOL ON
BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (FIERCES ON BICA 2016),
HELD APRIL 21-24 IN MOSCOW, RUSSIA. MOST WORKS INCLUDED HERE CROSS
BOUNDARIES BETWEEN DISCIPLINES: FROM NEUROSCIENCE TO SOCIAL SCIENCE,
FROM COGNITIVE SCIENCE TO ROBOTICS, AND FROM BIOENGINEERING TO
ARTIFICIAL INTELLIGENCE. A SPECIAL EMPHASIS IS GIVEN TO NOVEL SOLUTIONS
TO URGENT PROBLEMS THAT HAVE BEEN RESISTING TRADITIONAL APPROACHES FOR
DECADES. INTENDED FOR PROVIDING READERS WITH AN UPDATE ON BIOLOGICALLY
INSPIRED APPROACHES TOWARDS THE COMPUTATIONAL REPLICATION OF ALL THE
ESSENTIAL ASPECTS OF THE HUMAN MIND (THE BICA CHALLENGE), THIS BOOK IS
EXPECTED TO FOSTER LIVELY DISCUSSIONS ON THE TOPIC AND STIMULATE
CROSS-DISCIPLINARY, CROSS-GENERATION AND CROSS-CULTURAL COLLABORATION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author2 | Samsonovich, Alexei V. Klimov, Valentin V. Rybina, Galina V. |
author2_role | edt edt edt |
author2_variant | a v s av avs v v k vv vvk g v r gv gvr |
author_corporate | International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures Moskau |
author_corporate_role | aut |
author_facet | Samsonovich, Alexei V. Klimov, Valentin V. Rybina, Galina V. International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures Moskau |
author_sort | International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures Moskau |
building | Verbundindex |
bvnumber | BV043546384 |
collection | ZDB-2-ENG |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-319-32554-5 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV043546384 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T12:13:51Z |
institution | BVB |
institution_GND | (DE-588)1122651228 |
isbn | 9783319325545 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028961747 |
oclc_num | 950936592 |
open_access_boolean | |
owner | DE-706 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-862 DE-BY-FWS DE-92 |
owner_facet | DE-706 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-862 DE-BY-FWS DE-92 |
physical | 1 Online-Ressource (x, 306 Seiten) |
psigel | ZDB-2-ENG ZDB-2-ENG_2016 |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer |
record_format | marc |
series | Advances in intelligent systems and computing |
series2 | Advances in intelligent systems and computing |
spellingShingle | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) Advances in intelligent systems and computing Engineering Neurosciences Artificial intelligence Computational intelligence Biomedical engineering Cognitive psychology Computational Intelligence Artificial Intelligence (incl. Robotics) Cognitive Psychology Biomedical Engineering Ingenieurwissenschaften Künstliche Intelligenz |
subject_GND | (DE-588)1071861417 |
title | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) |
title_auth | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) |
title_exact_search | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) |
title_full | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina editors |
title_fullStr | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina editors |
title_full_unstemmed | Biologically inspired cognitive architectures (BICA) for young scientists proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina editors |
title_short | Biologically inspired cognitive architectures (BICA) for young scientists |
title_sort | biologically inspired cognitive architectures bica for young scientists proceedings of the first international early research career enhancement school fierces 2016 |
title_sub | proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) |
topic | Engineering Neurosciences Artificial intelligence Computational intelligence Biomedical engineering Cognitive psychology Computational Intelligence Artificial Intelligence (incl. Robotics) Cognitive Psychology Biomedical Engineering Ingenieurwissenschaften Künstliche Intelligenz |
topic_facet | Engineering Neurosciences Artificial intelligence Computational intelligence Biomedical engineering Cognitive psychology Computational Intelligence Artificial Intelligence (incl. Robotics) Cognitive Psychology Biomedical Engineering Ingenieurwissenschaften Künstliche Intelligenz Konferenzschrift |
url | https://doi.org/10.1007/978-3-319-32554-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961747&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961747&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV040889154 |
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