Adaptive Coupling and Intersubjectivity in Simulated Turn-Taking Behaviour
Adaptive Coupling and Intersubjectivity in Simulated Turn-Taking Behaviour
复制标题
DOI：
10.1007/978-3-540-39432-7_36
复制
发表时间：
2003-09
期刊：
影响因子：
--
通讯作者：
H. Iizuka;T. Ikegami
中科院分区：
文献类型：
--
作者：
H. Iizuka;T. Ikegami
话轮转换行为是用一个耦合代理系统来模拟的。每个代理被建模为一个移动的机器人与两个轮子。一个递归神经网络用于产生电机输出和保持内部动态。智能体通过网络结构的演化在二维竞技场上轮流进行游戏，并利用智能体的规则行为或混沌行为建立游戏的话轮转换。研究发现，混沌话轮对来自其他智能体的自适应输入更为敏感。另一方面，常规的转向器由于其受限的动态特性而对噪声输入相对不敏感。从各种观察，包括话轮转换与虚拟代理，我们声称，混沌话轮转换代理变得不那么强大时，应对虚拟代理，但在同一时间，这些代理更适应对方比常规的话轮转换代理。所有这些发现进行了讨论，并与Trevarthen的双监视器实验进行了比较。
Turn-taking behaviour is simulated with a coupled agents system. Each agent is modelled 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 behaviour of the agents. It is found that chaotic turn-takers are more sensitive to the adaptive inputs from the other agent. On the other hand, regular turn-takers are comparatively insensitive to noisy inputs due to their restricted dynamics. From various observations, including turn-taking with virtual agents, we claim that the chaotic turn-taking agents become less robust when coping with virtual agents but at the same time, those agents are more adaptable to each other than the regular turn-taking agents. All these findings are discussed and compared with Trevarthen’s double monitor experiments.