From Animals to Animats 14

Name: From Animals to Animats 14 | 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings
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14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings

Elio Tuci Alexandros Giagkos Myra Wilson John Hallam(Herausgeber*in)

Springer (Verlag)

Erschienen am 9. August 2016

XI, 366 Seiten

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978-3-319-43488-9 (ISBN)

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Inhalt

Intro
Preface
Organisation
Contents
Circumnutation: From Plants to Robots
1 Introduction
2 Continuum and Tendril Robots
3 Circumnutation with Robot Tendrils
3.1 Discussion
4 Conclusions
References
Using Marker-Based Motion Capture to Develop a Head Bobbing Robotic Lizard
1 Introduction
1.1 Motion Capture of Animals
1.2 Head Bobbing in Lizards
2 Methods
2.1 Motion Capture
2.2 Construction of the Robot
3 Results
4 Conclusion and Future Work
References
An Architecture for Pattern Recognition and Decision-Making
1 Introduction
2 Implementation
2.1 Condition
2.2 The Brain
3 Experimental Setup
3.1 Images
3.2 Audio Samples
3.3 Training and Testing
4 Results and Interpretation
5 Conclusion
References
Follow Flee: A Contingent Mobility Strategy for the Spatial Prisoner's Dilemma
1 Introduction
2 Related Work
3 Methodology
3.1 Environment and Agent Representation
3.2 Movement Strategies
3.3 Evolutionary Dynamics
4 Experimental Results
4.1 Experiment 1: Follow Flee and Walk Away vs. Naïve
4.2 Experiment 2: Varying the Evolutionary Dynamics
4.3 Experiment 3: Varying the Density
4.4 Experiment 4: Walk Away vs. Follow Flee
5 Conclusion
References
Local Interaction of Agents for Division of Labor in Multi-agent Systems
1 Introduction
2 Social Interaction
3 Proposed Task Allocation Algorithm
4 Experiments
4.1 Task Scenario
4.2 Simulation Results
5 Conclusion and Future Work
References
Rational Imitation for Robots
1 Introduction
2 The Cost Difference Model
2.1 Rationale
2.2 Formalization
3 Methods
4 Experiment 1: Modelling Experimental Findings
5 Experiment 2: Learning Better Policies
6 Discussion
References
Modular Neural Control for Object Transportation of a Bio-inspired Hexapod Robot
1 Introduction
2 Modular Neural Control for Object Transportation
2.1 Neural Oscillator Network (CPG)
2.2 Phase Switching Network (PSN)
2.3 Velocity Regulating Network (VRN)
2.4 Neural Control Parameters for Different Behavior Modes
3 Experiments and Results
4 Conclusion
References
An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking
1 Introduction
2 Background
2.1 Lizard Peripheral Auditory System Model
2.2 Input Correlation (ICO) Learning
3 Materials and Methods
3.1 The Adaptive Neural Architecture
3.2 The Experimental Setup
4 Results and Discussion
5 Conclusions and Future Directions
References
Artificial Neural Network Based Compliant Control for Robot Arms
1 Introduction
2 Robot Arm Model
3 Artificial Neural Network Based Compliant Control
4 Simulation Results
5 Conclusions
References
UESMANN: A Feed-Forward Network Capable of Learning Multiple Functions
1 Background
2 Motivation
3 The UESMANN-BP Algorithm
4 Methodology
5 Experimental Results
5.1 Logical Connectives
6 The MNIST Database
7 Training at Intermediate Modulation Values
8 Conclusions and Further Work
References
Adaptation of Virtual Creatures to Different Environments Through Morphological Plasticity
1 Introduction
2 Background
2.1 Virtual Creatures
2.2 Fitness Evaluation
2.3 Evolutionary Algorithm
3 Method
3.1 Parameter Selection
4 Experiments
4.1 Parameter Settings
5 Results and Discussion
6 Conclusion
References
A Moment Measure Model of Landmarks for Local Homing Navigation
1 Introduction
2 Methods and Materials
2.1 Sensors and Test Environment
2.2 Data Processing
2.3 Navigation Algorithm: Moment Measure
3 Result
3.1 Simulation
3.2 Using Only Vision Sensor
3.3 Using Both Vision Sensor and Laser Sensor
4 Conclusion
References
A Landmark Vector Approach Using Gray-Colored Information
1 Introduction
2 Methods and Materials
3 Experiments
4 Conclusion
References
Simulation of an Optional Strategy in the Prisoner's Dilemma in Spatial and Non-spatial Environments
1 Introduction
2 Related Work
3 Methodology
4 Non-spatial Environment
4.1 Pairwise Comparisons
4.2 All Three Strategies
4.3 Robustness
5 Spatial Environments
5.1 Pairwise Comparison Between Agents
5.2 All Three Strategies
5.3 Exploration of the Effect of Different Initial Spatial Configurations
6 Conclusions and Future Work
References
A Comparison of Multiobjective Algorithms in Evolving Quadrupedal Gaits
1 Introduction
2 Background and Related Work
3 Methods
4 Experiments and Results
5 Discussion
6 Conclusions
References
Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals
1 Introduction
2 Related Work
3 Approach
3.1 Multimodal Haptic Signals
3.2 Sensorimotor Primitives
3.3 Sensorimotor Primitives Segmentation
3.4 Learning to Detect Sensory Events
4 Evaluation and Discussion
4.1 Sensorimotor Primitives Segmentation for Peg-in-hole Tasks
4.2 Sensorimotor Primitives Goal Detection
4.3 Robot Performing Peg-in-hole Task
5 Conclusions
References
A More Basic Version of Agency? As If!
1 Introduction
2 Background
2.1 Individuality
2.2 Interactional Asymmetry
2.3 Normativity
2.4 Definition
3 Agency and Phenomenology
4 Individuality
5 Interactional Asymmetry
5.1 Modulation
5.2 Causation and Statistics
6 Normativity
6.1 Actions by Agents
7 An Alternative: As-If Theories
8 What Theories of Agency Should Look Like?
9 A General As-If Theory
10 Conclusion
References
A Biologically Inspired Soft Robotic Hand Using Chopsticks for Grasping Tasks
1 Introduction
2 Hand Model
2.1 Materials
2.2 Fabrication of the Hand
3 Chopstick Model
4 Experimental Setup
5 Experiments and Results
5.1 Simulation Results
5.2 Experimental Results
6 Conclusion
References
Linguistic Primitives: A New Model for Language Development in Robotics
1 Introduction
2 Related Works
3 Our Approach: Language Primitives
4 The Implemented System
4.1 Involuntary Subsystem
4.2 Voluntary Subsystem
5 Experimental Results
5.1 Preliminary Step
5.2 First Experiment
5.3 Second Experiment
6 Conclusion
References
Learning to Synchronously Imitate Gestures Using Entrainment Effect
1 Introduction
2 Related Works and Positioning
2.1 Modelling Sensori-Motor Coordination in Dynamical Systems
2.2 Positioning on Entrainment Model and its Advantage
3 System Workflow and Experimental Setup
4 Extracting the Trajectories to Imitate
5 Modelling the entrainment effect
5.1 The Reservoir of Oscillators
5.2 The Entrainment Model
6 Learning by Imitating
6.1 Influence of the Coupling Factor
7 Conclusion
References
Time-Informed, Adaptive Multi-robot Synchronization
1 Introduction
2 Robot-Robot Coordination Scenario
3 Literature Review
4 Fuzzy Times
5 Time-Informed Planning Features
6 Enforcing Synchrony
7 Results
8 Conclusions and Future Work
References
Co-exploring Actuator Antagonism and Bio-inspired Control in a Printable Robot Arm
1 Introduction
2 Related Work
3 The GummiArm
3.1 An Easily Evolvable Arm
3.2 Agonist-Antagonist Joints
3.3 Combined Ballistic/Feedback Control
3.4 Inverse Joint Model for Ballistic Phase
4 Experimental Results
4.1 Exploring Co-Contraction
4.2 Fast Joint-Space Movements
4.3 Teleoperation with Physical Interaction
5 Conclusions
References
Modelling the Effect of Dorsal Raphe Serotonin Neurons on Patience for Future Rewards
1 Introduction
2 Task and Simulated Agent
3 The Role of Serotonin
4 Model Description
4.1 Reward Circuit
4.2 Reward Prediction Circuit
4.3 Reward Omission Circuit
4.4 Serotonin Circuit
5 Results
5.1 Dopamine Results
5.2 DRN Results
6 Discussion
7 Model Equations
References
A Model of Artificial Genotype and Norm of Reaction in a Robotic System
1 Introduction
2 Model
2.1 Genotype Model
2.2 GEP Mapping Model
3 Case Study
3.1 The Robot Species Description
3.2 The Environment
3.3 Applying the GEP Model to the Robotic System
3.4 Getting the Robot Genotype
4 Experimental Results
4.1 Generating a Population of Robots
4.2 Getting the Genotype Model from the Generated Population of Robots
4.3 The Genotypes' Norm of Reaction
5 Discussion
6 Conclusions
References
Abstraction as a Mechanism to Cross the Reality Gap in Evolutionary Robotics
1 Introduction
2 Task
3 Evolutionary Optimization
4 Flight Hardware
5 Flight Tests Results
6 Analysis of the Sensory-Motor Coordination
7 Conclusions
References
Analysis of Social Learning Strategies When Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution
1 Introduction
1.1 Incremental Genetic Evolution
1.2 Discovering and Maintaining Inaccessible Solutions
1.3 Neuroevolution of Deliberative Behaviours for an Advanced River Crossing Task
2 The Model
2.1 The Shunting Network
2.2 The Decision Network, Evolution and Learning
3 Experimentation
4 Results
5 Conclusions and Further Work
References
Simulating Chemical Reactions Using a Swarm of Miniature Robots
1 Introduction
2 Background
3 Mapping Basic Chemistry Concepts to Distributed Embodied Swarms
4 Implementation
5 Experiments and Results
6 Conclusion
References
Adaptive Combinatorial Neural Control for Robust Locomotion of a Biped Robot
1 Introduction
2 Adaptive Combinatorial Neural Control
2.1 Reflex-Based Neural Control
2.2 CPG-based Neural Control
3 Setup of the Biomechanical Bipedal Robot DACBOT
4 Experiments and Results
5 Conclusion and Future Work
References
Generalising Predictable Object Movements Through Experience Using Schemas
1 Introduction
2 Background
3 Methodology
3.1 Experiment
3.2 Results
4 Conclusions and Future Work
References
Evolving Controllers for Robots with Multimodal Locomotion
1 Introduction
2 Related Work
2.1 Multimodal Robots
2.2 Evolved Navigation Behaviors
3 Robot Model and the Task
3.1 Navigation Task
3.2 The Robot Model
4 Control Synthesis
5 Results
5.1 General Performance
5.2 Behavioral Analysis
5.3 Generalization
6 Conclusions
References
Conditions of Depleting Offender Behavior in Volunteering Dilemma: An Agent-Based Simulation Study
1 Introduction
2 Related Work
3 Models
3.1 Longuemar's Experimentation of VD
3.2 Gerritsen Model of Bystanders Effect on Volunteering
3.3 The Proposed Extended Model of Bystanders Effect on Volunteering
3.4 The Proposed Offender Model
4 Simulation
5 Conclusion
References
Author Index

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