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978-3-642-15193-4 |
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20221012210507.0 |
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100915s2010 gw | s |||| 0|eng d |
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|a 9783642151934
|9 978-3-642-15193-4
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|a 10.1007/978-3-642-15193-4
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|a From Animals to Animats 11
|h [electronic resource] :
|b 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings /
|c edited by Stephane Doncieux, Benoit Girard, Agnes Guillot, John Hallam, Jean-Arcady Meyer, Jean-Baptiste Mouret.
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|a 1st ed. 2010.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
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|a XVI, 662 p. 308 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 6226
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| 505 |
0 |
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|a Animat Approaches for Adaptive Behaviour -- From Mirror Writing to Mirror Neurons -- How Virtual Machinery Can Bridge the "Explanatory Gap", in Natural and Artificial Systems -- Do Empirical Models of Robot-Environment Interaction Have a Meaning? -- Information Dynamics of Evolved Agents -- Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots -- Perception and Motor Control -- Slime Mold Inspired Chemical Sounding -- A Conserved Network for Control of Arthropod Exteroceptive Optical Flow Reflexes during Locomotion -- Modifying Directionality through Auditory System Scaling in a Robotic Lizard -- SCRATCHbot: Active Tactile Sensing in a Whiskered Mobile Robot -- Toward a Spiking-Neuron Model of the Oculomotor System -- An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot -- Reconstructing the Acoustic Signal of a Sound Source: What Did the Bat Say? -- Simulating the Morphological Feasibility of Adaptive Beamforming in Bats -- On the Influence of Sensor Morphology on Vergence -- Adapting Preshaped Grasping Movements Using Vision Descriptors -- Multimodal Predictive Control in Crickets -- Tactile Discrimination Using Template Classifiers: Towards a Model of Feature Extraction in Mammalian Vibrissal Systems -- A Supramodal Vibrissa Tactile and Auditory Model for Texture Recognition -- Learning to Look in Different Environments: An Active-Vision Model Which Learns and Readapts Visual Routines -- Estimating Relative Positions of Multiple Objects in the Weakly Electric Fish -- From Force Control and Sensory-Motor Informations to Mass Discrimination -- The Approach Behaviour of the Hawkmoth Manduca sexta toward Multi-modal Stimuli: A Simulation Model -- The Indiana Experiment: Investigating the Role of Anticipation and Attention in a Dynamic Environment -- Attentional Mechanisms for Lateral Line Sensing through Spectral Analysis -- BeeIP: Bee-Inspired Protocol for Routing in Mobile Ad-Hoc Networks -- Action Selection and Behavioural Sequences -- Simulating Human Table Tennis with a Biomimetic Robot Setup -- Attentional Modulation of Mutually Dependent Behaviors -- An Empirical Evidence of Braitenberg Vehicle 2b Behaving as a Billiard Ball -- Insectomorphic Robot Maneuvering on a Movable Ball -- A Study of Adaptive Locomotive Behaviors of a Biped Robot: Patterns Generation and Classification -- Navigation and Internal World Models -- Predicting Affordances from Gist -- Analyzing Interactions between Cue-Guided and Place-Based Navigation with a Computational Model of Action Selection: Influence of Sensory Cues and Training -- A Cortical Column Model for Multiscale Spatial Planning -- Why and How Hippocampal Transition Cells Can Be Used in Reinforcement Learning -- The Complementary Roles of Allostatic and Contextual Control Systems in Foraging Tasks -- Path Integration Working Memory for Multi Tasks Dead Reckoning and Visual Navigation -- Minimal Model of Strategy Switching in the Plus-Maze Navigation Task -- Learning and Adaptation -- Distributed Online Learning of Central Pattern Generators in Modular Robots -- Learning New Motion Primitives in the Mirror Neuron System: A Self-organising Computational Model -- A Computational Model of Integration between Reinforcement Learning and Task Monitoring in the Prefrontal Cortex -- Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks -- eMOSAIC Model for Humanoid Robot Control -- Noisy-or Nodes for Conditioning Models -- Adaptation of Coupled Sensorimotor Mappings: An Investigation towards Developmental Learning of Humanoids -- Learning Inverse Kinematics for Pose-Constraint Bi-manual Movements -- TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs -- Learning Robot-Environment Interaction Using Echo State Networks -- A Novel Information Measure for Predictive Learning in a Social System Setting -- Evolution -- Co-development of Linguistic and Behavioural Skills: Compositional Semantics and Behaviour Generalisation -- Indirectly Encoding Neural Plasticity as a Pattern of Local Rules -- Fractal Gene Regulatory Networks for Robust Locomotion Control of Modular Robots -- The Dependence of Braking Strategies on Optical Variables in an Evolved Model of Visually-Guided Braking -- Self-organizing Robot Teams Using Asynchronous Situated Co-evolution -- Emergence of an Internal Model in Evolving Robots Subjected to Sensory Deprivation -- Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat -- Multi-objective Evolutionary Algorithms to Investigate Neurocomputational Issues: The Case Study of Basal Ganglia Models -- Collective and Social -- Cooperative Stigmergic Navigation in a Heterogeneous Robotic Swarm -- How to Pick the Right One: Investigating Tradeoffs among Female Mate Choice Strategies in Treefrogs -- Autonomous Development of Social Referencing Skills -- A Model of Symmetry Breaking in Collective Decision-Making -- Simulation of How Neuromodulation Influences Cooperative Behavior.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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|a Computer programming.
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| 650 |
|
0 |
|a Computer engineering.
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| 650 |
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0 |
|a Computer networks .
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| 650 |
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0 |
|a Computer science.
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| 650 |
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|a Computer vision.
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| 650 |
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|a Pattern recognition systems.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
|
| 650 |
2 |
4 |
|a Programming Techniques.
|
| 650 |
2 |
4 |
|a Computer Engineering and Networks.
|
| 650 |
2 |
4 |
|a Theory of Computation.
|
| 650 |
2 |
4 |
|a Computer Vision.
|
| 650 |
2 |
4 |
|a Automated Pattern Recognition.
|
| 700 |
1 |
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|a Doncieux, Stephane.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Girard, Benoit.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Guillot, Agnes.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Hallam, John.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Meyer, Jean-Arcady.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Mouret, Jean-Baptiste.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783642151927
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642151941
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| 830 |
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 6226
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| 856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-642-15193-4
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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