Fundamental Issues in Affective Intelligent Social Machines
B. R. Duffy
- 发表年份
- 2008
- 引用次数
- 35
- 访问权限
- 开放获取
摘要
In the early 1990s, computer scientists became motivated by the idea of rendering human-computer interactions more humanlike and natural for their users in order to both address complaints that technologies impose a mechanical (sometimes even anti-social) aesthetic to their everyday environment, and also investigate innovative ways to manage system-environment complexity.With the recent development of the field of Social Robotics and particularly Human-Robot Interaction, the integration of intentional emotional mechanisms in a system's control architecture becomes inevitable.Unfortunately, this presents significant issues that must be addressed for a successful emotional artificial system to be developed.This paper provides an additional dimension to documented arguments for and against the introduction of emotions into artificial systems by highlighting some fundamental paradoxes, mistakes, and proposes guidelines for how to develop successful affective intelligent social machines.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002