From Reactive to Cognitive Agents: Extending Reinforcement Learning to Generate Symbolic Knowledge Bases

2013 Latin American Robotics Symposium and Competition ◽

10.1109/lars.2013.77 ◽

2013 ◽

Author(s):

Romulo Cerqueira ◽

Augusto Loureiro da Costa ◽

Stephen McGill ◽

Daniel Lee ◽

George Pappas

Keyword(s):

Reinforcement Learning ◽

Knowledge Bases ◽

Cognitive Agents

Download Full-text

Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology ◽

10.1109/wiiat.2008.163 ◽

2008 ◽

Author(s):

Teck-Hou Teng ◽

Ah-Hwee Tan

Keyword(s):

Reinforcement Learning ◽

Decision Support ◽

Context Aware ◽

Cognitive Agents

Download Full-text

Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment

IEEE/WIC/ACM International Conference on Intelligent Agent Technology ◽

10.1109/iat.2005.125 ◽

2006 ◽

Author(s):

Ah-Hwee Tan ◽

D. Xiao

Keyword(s):

Reinforcement Learning ◽

Cognitive Agents ◽

Multi Agent ◽

Self Organizing

Download Full-text

Rule value reinforcement learning for cognitive agents

Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06 ◽

10.1145/1160633.1160773 ◽

2006 ◽

Author(s):

Chris Child ◽

Kostas Stathis

Keyword(s):

Reinforcement Learning ◽

Cognitive Agents

Download Full-text

A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm49941.2020.9313214 ◽

2020 ◽

Author(s):

Weizhong Zhao ◽

Yao Zhao ◽

Xingpeng Jiang ◽

Tingting He ◽

Fan Liu ◽

...

Keyword(s):

Reinforcement Learning ◽

Knowledge Bases ◽

Download Full-text

Supplemental Material for Reconciling Reinforcement Learning Models With Behavioral Extinction and Renewal: Implications for Addiction, Relapse, and Problem Gambling

Psychological Review ◽

10.1037/0033-295x.114.3.784.supp ◽

2007 ◽

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

Download Full-text

Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

Author(s):

Helen Steingroever ◽

Ruud Wetzels ◽

Eric-Jan Wagenmakers

Keyword(s):

Reinforcement Learning ◽

Iowa Gambling Task ◽

Bayes Factors ◽

Gambling Task ◽

Learning Models ◽

Reinforcement Learning Models

Download Full-text

Building and using large common sense knowledge bases

PsycEXTRA Dataset ◽

10.1037/e446342006-001 ◽

2013 ◽

Author(s):

Kenneth D. Forbus

Keyword(s):

Common Sense ◽

Knowledge Bases ◽

Common Sense Knowledge

Download Full-text

Analogical Reinforcement Learning With Two-Stage Memory Retrieval

PsycEXTRA Dataset ◽

10.1037/e528942014-705 ◽

2014 ◽

Author(s):

James Foster ◽

Matt Jones

Keyword(s):

Reinforcement Learning ◽

Memory Retrieval ◽

Download Full-text

Effects of Working Memory Capacity on the Speed and Accuracy of Learning in Reinforcement Learning Models

PsycEXTRA Dataset ◽

10.1037/e528942014-552 ◽

2014 ◽

Author(s):

Adnane Ez-Zizi ◽

Simon Farrell ◽

David Leslie

Keyword(s):

Working Memory ◽

Reinforcement Learning ◽

Working Memory Capacity ◽

Memory Capacity ◽

Learning Models ◽

Reinforcement Learning Models ◽

Speed And Accuracy

Download Full-text

The World is not Enough: Trust in Cognitive Agents

PsycEXTRA Dataset ◽

10.1037/e572172013-055 ◽

2012 ◽

Author(s):

Ewart J. de Visser ◽

Frank Krueger ◽

Patrick McKnight ◽

Steven Scheid ◽

Melissa Smith ◽

...

Keyword(s):

Cognitive Agents ◽

Download Full-text