Titlebook: Conversational Informatics; A Data-Intensive App Toyoaki Nishida,Atsushi Nakazawa,Yasser Mohammad Book 2014 Springer Japan 2014 Cognitive a

mentor

書目名稱Conversational Informatics影響因子(影響力)




書目名稱Conversational Informatics影響因子(影響力)學(xué)科排名




書目名稱Conversational Informatics網(wǎng)絡(luò)公開度




書目名稱Conversational Informatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Conversational Informatics被引頻次




書目名稱Conversational Informatics被引頻次學(xué)科排名




書目名稱Conversational Informatics年度引用




書目名稱Conversational Informatics年度引用學(xué)科排名




書目名稱Conversational Informatics讀者反饋




書目名稱Conversational Informatics讀者反饋學(xué)科排名

Sinus-Node

BILK

Final remarks and some of en problems,ranging from basic research to applications, from text to multimodal signals, from dialogue to story, and from computational to cognitive. In this chapter, we will present a bird’s eye view of these activities and highlight epochs relevant to conversational informatics.

Abominate

修剪過的樹籬

騷擾

Robert P. Grzeszczuk,Charles A. Pelizzariss issues from a wider perspective. We then single out ethical issues as centric to social issues and discuss the role of conversational informatics in the context of moral agents in human-agent symbiotic society. Finally, we come back to empathic agents as discussed in Chap.?. and elaborate a road map for future study.

騷擾

Variational and Hamiltonian Control Systems are encouraged to learn from past experiences in terms of how experiments were conducted to derive useful insights. For this reason we report in this chapter three case studies that showcase different issues in measurement, analysis and modeling of conversation and interaction in general.

Liberate

Kazunori Yamaguchi,Tosiyasu L. Kuniiplicit and explicit interaction protocols. The insights learned from theoretical and experimental considerations are then utilized to provide a general framework for fluid agent-initiated imitation in the following chapter.

Albinism

策略

From Observation to Interaction,plicit and explicit interaction protocols. The insights learned from theoretical and experimental considerations are then utilized to provide a general framework for fluid agent-initiated imitation in the following chapter.