基本信息
浏览量:898
职业迁徙
个人简介
My major research interest is in creating human-level artificial intelligent entities, with an emphasis on the underlying cognitive architecture. A major challenge is to create systems that can work on a broad range of problems, using a wide variety of methods, knowledge, and learning techniques. As part of my research, I study both artificial and natural intelligence. Since 1981, my work has centered on the development and use of Soar, a general cognitive architecture. Over the years, this has led to research in both AI and cognitive science. Within AI my work has included research in general problem solving, the genesis of the weak methods, the origins of subgoals, general learning mechanisms, interacting with external environments, learning by experience and by instruction, and integrating reactivity, planning, and learning, all in the service of constructing complete autonomous intelligent agents. In the past, I’ve done some work on developing human-level AI agents for military simulations, interactive computer games, and most recently autonomous robotics. Within cognitive science, my early research has concentrated on detailed modeling of human behavior (reaction times and error rates) in visual attention, concept acquisition, and dual tasks. Currently I’m concentrating on high-level cognition. Most recently, my students and I have extended Soar to include reinforcement learning, episodic memory, semantic memory, mental imagery, and emotion-inspired processing. We are exploring interactive task learning by developing agents in Soar that learn new tasks from scratch using natural language. The tasks involve real-world robotic interaction and include hierarchical tasks, as well as many simple puzzles and games.
研究兴趣
论文共 375 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Proceedings of the AAAI Symposium Seriesno. 1 (2024): 302-306
CoRRno. 1 (2023): 286-294
AI Mag.no. 2 (2023): 155-164
引用0浏览0EI引用
0
0
BEHAVIORAL AND BRAIN SCIENCES (2023)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn