Titlebook: Intelligent Virtual Agents; 15th International C Willem-Paul Brinkman,Joost Broekens,Dirk Heylen Conference proceedings 2015 Springer Inter

廣口瓶

拱墻

Modeling Sensation for an Intelligent Virtual Agent’s Perception Processeling visual sensation and propose mechanisms for virtual sensors and memory. Different visual sensing approaches are compared by applying them to an artificial evaluation scenario. The evaluations show promising results with respect to performance and quality.

WAIL

Towards Adaptive, Interactive Virtual Humans in Sigmation and Mapping and reinforcement learning in a unified manner. This non-modular unification of diverse cognitive, robotic and VH capabilities provides an important first step towards fully adaptive and interactive VHs in Sigma.

ALLAY

justify

Opponent Modeling for Virtual Human Negotiatorsatements about their preferences. This method has the added advantage that it can detect negotiators that lie about their preferences. We discuss several ways the method can enhance the capabilities of a virtual human negotiator.

不如屎殼郎

Adapting Virtual Patient Interviews for Interviewing Skills Training of Novice Healthcare Studentsility of using a selection-based virtual patient as a modeling tool for learning interviewing skills. Our initial results support the possibility of such question modeling and reveal that healthcare students already view selection-based virtual patient interactions as modeling opportunities.

黃油沒有

陰郁

From One to Many: Simulating Groups of Agents with Reinforcement Learning Controllersrest of the members of the group by sharing the resulting .. This results in individual behavior leading to emergent group behavior. We present a framework with states, actions and reward functions general enough to easily adapt to different environment configurations.

滑動(dòng)

Real-Time Visual Prosody for Interactive Virtual Agentsspeech. We present our method for creating visual prosody online from continuous TTS output, and we report results from three crowdsourcing experiments carried out to see if and to what extent it can help in enhancing the interaction experience with an agent.

增強(qiáng)

Conference proceedings 2015 August 2015. The 11 full papers, 22 short papers, and 21 demo and poster papers accepted were carefully reviewed and selected from 70 submissions. Constructing and studying intelligent virtual agents requires knowledge , theories, methods, and tools from a wide range of fields such as computer scie