000 06113nam a22006855i 4500
001 978-3-319-08864-8
003 DE-He213
005 20240423130036.0
007 cr nn 008mamaa
008 140708s2014 sz | s |||| 0|eng d
020 _a9783319088648
_9978-3-319-08864-8
024 7 _a10.1007/978-3-319-08864-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aFrom Animals to Animats 13
_h[electronic resource] :
_b13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014, Proceedings /
_cedited by Angel P. del Pobil, Eris Chinellato, Ester Martínez-Martín, John Hallam, Enric Cervera, Antonio Morales.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXII, 340 p. 144 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v8575
505 0 _aAnimat Approach and Methodology -- A Role for Sleep in Artificial Cognition through Deferred Restructuring of Experience in Autonomous Machines -- Time in Consciousness, Memory and Human-Robot Interaction -- Non-representational Sensorimotor Knowledge -- Perception and Motor Control -- Self-exploration of the Stumpy Robot with Predictive Information Maximization -- Detecting the Vibration in the Artificial Web Inspired by the Spider -- Modelling Reaction Times in Non-linear Classification Tasks -- Multiple Decoupled CPGs with Local Sensory Feedback for Adaptive Locomotion Behaviors of Bio-inspired Walking Robots -- Poramate Manoonpong -- The Role of a Cerebellum-Driven Perceptual Prediction within a Robotic Postural Task -- Biomimetic Agent Based Modelling Using Male Frog Calling Behaviour as a Case Study -- Navigation and Internal World Models Snapshot Homing Navigation Based on Edge Features -- Ground-Nesting Insects Could Use Visual Tracking for Monitoring Nest Position during Learning Flights -- Adaptive Landmark-Based Navigation System Using Learning Techniques -- Robustness Study of a Multimodal Compass Inspired from HD-Cells and Dynamic Neural Fields -- Learning and Adaptation -- Developmental Dynamics of RNNPB: New Insight about Infant Action Development -- Simulating the Emergence of Early Physical and Social Interactions: A Developmental Route through Low Level Visuomotor Learning -- Intrinsically Motivated Decision Making for Situated, Goal-Driven Agents -- An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning -- Unsupervised Learning of Sensory Primitives from Optical Flow Fields -- Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics -- Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution -- Evolution -- Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes -- Voxel Robot: A Pneumatic Robot with Deformable Morphology -- Task-Driven Evolution of Modular Self-reconfigurableRobots -- A Bacterial-Based Algorithm to Simulate Complex Adaptive Systems -- Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning -- Collective and Social Behavior -- A Swarm Robotics Approach to Task Allocation under Soft Deadlines and Negligible Switching Costs -- Supervised Robot Groups with Reconfigurable Formation: Theory and Simulations -- Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System -- Honeybee-Inspired Quality Monitoring of Routing Paths in Mobile Ad Hoc Networks -- Human Inspiration and Comparison for Monitoring Strategies in a Robotic Convoy Task -- Animal Social Behaviour: A Visual Analysis -- Crowd Emotion Detection Using Dynamic Probabilistic Models.
520 _aThis book constitutes the proceedings of the 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, held in Castellón, Spain, in July 2014. The 32 papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. They cover the main areas in animat research, including the animat approach and methodology, perception and motor control, navigation and internal world models, learning and adaptation, evolution and collective and social behavior.
650 0 _aArtificial intelligence.
650 0 _aComputer science.
650 0 _aComputer vision.
650 0 _aPattern recognition systems.
650 0 _aAlgorithms.
650 0 _aApplication software.
650 1 4 _aArtificial Intelligence.
650 2 4 _aTheory of Computation.
650 2 4 _aComputer Vision.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aAlgorithms.
650 2 4 _aComputer and Information Systems Applications.
700 1 _adel Pobil, Angel P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChinellato, Eris.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMartínez-Martín, Ester.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHallam, John.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCervera, Enric.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMorales, Antonio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319088631
776 0 8 _iPrinted edition:
_z9783319088655
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v8575
856 4 0 _uhttps://doi.org/10.1007/978-3-319-08864-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c184407
_d184407