The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
Understanding intelligence
Active vision and feature selection in evolutionary behavioral systems
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Simulating turn-taking behaviours with coupled dynamical recognizers
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Embodiment and interaction in socially intelligent life-like agents
Computation for metaphors, analogy, and agents
Computation for metaphors, analogy, and agents
Model-based learning for mobile robot navigation from the dynamicalsystems perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Visualizing Coevolution with CIAO Plots
Artificial Life
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Microslip as a Simulated Artificial Mind
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Social Interaction in Robotic Agents Emulating the Mirror Neuron Function
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Stability of Coordination Requires Mutuality of Interaction in a Model of Embodied Agents
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
The Anticipation of Human Behavior Using "Parasitic Humanoid"
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
On the Role of Social Interaction in Individual Agency
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Minimal agency detection of embodied agents
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
A simple metric for turn-taking in emergent communication
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Rewards for pairs of Q-learning agents conducive to turn-taking in medium-access games
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
| Hi-index | 0.00 |
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two-dimensional arena by causing the network structures to evolve. Turn taking is established using either regular or chaotic behavior of the agents. It is found that chaotic turn takers are more sensitive in response to inputs from the other agent. Conversely, regular turn takers are comparatively robust against noisy inputs, owing to their restricted dynamics. From many observations, including turn taking with virtual agents, we claim that there is a complementary relationship between robustness and adaptability. Furthermore, by investigating the recoupling of agents from different GA generations, we report the emergence of a new turn-taking behavior. Potential for synthesizing a new form of interaction is another characteristic of chaotic turn takers.