Notes: The text discusses various aspects of the use of virtual humans in cognitive architectures and related applications, including their ability to display complex behaviors and emotions, the challenges of using them…
Tag: 2011
Behavior Generation & Virtual Humans 2011 (70x)
Notes: This text discusses the use of robots and virtual characters, specifically virtual humans, in various applications. It mentions the use of techniques such as behavior generation and coordination to enable these…
Virtual Human System 2011 (28x)
Notes: The text discusses various aspects of virtual human systems, including their design and implementation, the use of multi-modal interaction and feedback, and their potential applications in various fields such as healthcare…
WorldViz Vizard & Virtual Humans 2011 (11x)
Notes: An emotional embodied computer system is a type of software or technology that is designed to simulate emotional behavior in a computer-based agent, such as a virtual agent or avatar. These…
Virtual Human Toolkit 2011 (10x)
Notes: This text discusses the creation of a conversational agent or virtual character that is able to communicate and reason like a human. The process of creating such a character is complex,…
Virtual Humans 2011 (98x)
Notes: A virtual human is a computer-generated representation of a human being, typically designed to look and behave like a real person. Virtual humans can be used in a variety of applications,…
DFKI KomParse Project (2009-2011)
Notes: The KomParse project was a research project that aimed to integrate advanced natural language processing technologies into Massive Multiplayer Online Games (MMOGs) through a three-year grant from the ProFIT programe of…
Marcus L Endicott: Best Quora Answers 2011
Marcus L Endicott’s Answers – Quora See also: Marcus L Endicott: Best Quora Answers 2012 | Marcus L Endicott: Best Quora Answers 2013 | Marcus L Endicott: Best Quora Answers 2014 | Marcus L Endicott: Best…
Classifier & Dialog Systems
Notes: There are many ways to define a classification function in machine learning. A multi-nomial naive Bayes classifier is a simple probabilistic classifier that is based on the assumption that the features…