Notes:
The text discusses the use of virtual humans in various applications and the importance of cognitive architectures in creating believable and realistic virtual humans. Cognitive architectures are used to model the fixed structure underlying intelligent behavior and can be used to create virtual humans that engage in joint attention, have reactive and deliberative behaviors, and exhibit social emotions. Challenges in the use of cognitive architectures include integrating them with other systems and handling large amounts of data. Research has been conducted on the use of cognitive architectures in various fields, including robotics, software engineering, and simulations involving virtual human users. There is a range of artificial cognitive architectures that model different mental processes and attempt to bridge dichotomies, such as those between declarative and procedural representations and between reactive and deliberative behaviors. The text also discusses the use of virtual humans in education and training, as well as the importance of creating realistic and believable virtual humans in these contexts.
Joint attention refers to the ability to attend to an object or event with another person. In the context of virtual humans, joint attention might involve a virtual human interacting with a human user in a way that involves both parties paying attention to the same object or event. This might involve the virtual human using eye gaze or other nonverbal cues to direct the user’s attention to a particular object or event, or it might involve the virtual human and the user interacting with an object or event together. Joint attention is an important social skill that is essential for effective communication and interaction between people. It is an area of research in the field of virtual humans and is often studied in the context of social robotics as well.
In the context of virtual humans, declarative representations refer to knowledge that is stored and retrieved in a way that is independent of the specific steps needed to use it. This could include facts, concepts, or general knowledge about the world. Procedural representations, on the other hand, refer to knowledge that is stored and retrieved in a way that is tied to specific steps or procedures needed to use it. This could include skills, habits, or routines that are executed in a specific order to achieve a particular goal. In virtual humans, both declarative and procedural representations can be used to model different types of mental processes and behaviors.
Reactive behaviors are actions that are triggered by stimuli in the environment. In the context of virtual humans, reactive behaviors might include facial expressions or gestures that are triggered by the virtual human’s interpretation of the words or actions of another virtual human or a human user.
Deliberative behaviors, on the other hand, are actions that are thoughtfully planned and executed in response to a goal or objective. In the context of virtual humans, deliberative behaviors might include more complex actions or responses that require the virtual human to consider and weigh different options before making a decision. These behaviors can be simulated using cognitive architectures that process and analyze information about the virtual human’s environment and goals in order to generate appropriate responses.
See also:
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Page 1. 23 AutoTutor and Affective AutoTutor: Learning by Talking with Cognitively and Emotionally Intelligent Computers that Talk Back SIDNEY D’MELLO, University of Notre Dame ART GRAESSER, University of Memphis …
A Reranking Approach For Recognition And Classification Of Speech Input In Conversational Dialogue Systems
FMKAR Artstein, MVSK Sagae – ict.usc.edu
… Although more sophisticated al- ternatives exist, eg to achieve incremental processing [1] or to support sophisticated cognitive architectures [2], the sim … conversational systems, such as virtual human dialogue sys- tems [5, 2]. In many virtual human systems, speech recogni- tion …
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Even comparatively simple, reactive systems are able to control complex motor tasks, such as hexapod walking on unpredictable substrate. The capability of such a controller can be improved by introducing internal models of the body and of parts of the environment. Such internal …
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Page 1. ©Adetokunbo Adenowo (2012) Page i AUGMENTED CONVERSATION AND COGNITIVE APPRENTICESHIP METAMODEL BASED INTELLIGENT LEARNING ACTIVITY BUILDER SYSTEM THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS OF …
On computing: The fourth great scientific domain
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Moral Cognition & Theory Of Mind
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ARO in Review 2012
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Page 1. 2012 ARO IN REVIEW US Army Research Laboratory (ARL) US Army Research Office (ARO) PO Box 12211 Research Triangle Park, NC 27709-2211 Page 2. Report Documentation Page Form Approved OMB No. 0704-0188 …