scholarly journals Perceptions on Authenticity in Chat Bots

2018 ◽  
Vol 2 (3) ◽  
pp. 60 ◽  
Author(s):  
Mario Neururer ◽  
Stephan Schlögl ◽  
Luisa Brinkschulte ◽  
Aleksander Groth
Keyword(s):  
Intelligent Agents ◽  
Social Intelligence ◽  
Virtual Agents ◽  
Learning From Experience ◽  
Alan Turing ◽  
Conversational Behavior ◽  
Artificial Intelligence Technology ◽  
Intelligent Virtual Agents ◽  
Open Question ◽  
Question Survey

In 1950, Alan Turing proposed his concept of universal machines, emphasizing their abilities to learn, think, and behave in a human-like manner. Today, the existence of intelligent agents imitating human characteristics is more relevant than ever. They have expanded to numerous aspects of daily life. Yet, while they are often seen as work simplifiers, their interactions usually lack social competence. In particular, they miss what one may call authenticity. In the study presented in this paper, we explore how characteristics of social intelligence may enhance future agent implementations. Interviews and an open question survey with experts from different fields have led to a shared understanding of what it would take to make intelligent virtual agents, in particular messaging agents (i.e., chat bots), more authentic. Results suggest that showcasing a transparent purpose, learning from experience, anthropomorphizing, human-like conversational behavior, and coherence, are guiding characteristics for agent authenticity and should consequently allow for and support a better coexistence of artificial intelligence technology with its respective users.

scholarly journals Evaluation of Intelligent Agent Frameworks for Human Learning

2011 ◽  
Vol 1 (3) ◽  
pp. 45 ◽  
Author(s):  
Mohamed Soliman ◽  
Christian Guetl
Keyword(s):  
Intelligent Agents ◽  
Intelligent Agent ◽  
Pedagogical Agents ◽  
Virtual Agents ◽  
Educational Value ◽  
Learning Platform ◽  
New Learning ◽  
Intelligent Virtual Agents ◽  
Learning Scenarios ◽  
Multi Agent

<p align="left">&nbsp;</p><p><strong><span style="font-size: xx-small;">Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE. The use of the multi-agent society model inhabited with intelligent virtual agents has shown to provide several benefits to learning. This paper reviews intelligent agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the agents in a distributed learning platform, the paper provides an evaluation of intelligent agent development frameworks. This evaluation will provide valuable information to those employing and integrating intelligent agents for different types of VLE with a view towards creating new learning scenarios </span></strong></p>

A New Multiple Intelligent Agents Reasoning Model Based on Fluent Calculus

2013 ◽  
Vol 411-414 ◽  
pp. 2017-2022
Author(s):  
Tao Yang ◽  
Hong Li Deng ◽  
Yong Feng Diao
Keyword(s):  
Intelligent Agents ◽  
Dynamic Environment ◽  
Virtual Agents ◽  
Limited Information ◽  
Virtual Agent ◽  
Model Based ◽  
Intelligent Virtual Agents

In this paper, we discuss the cooperation behaviors of intelligent virtual agents with autonomous and cooperative ability .Based on the theory of fluent calculus, we have designed an agent reasoning model .In this model, intelligent virtual agent could automatically judge the next action in the action queue and constructs the dynamic environment quickly with limited information from sensor. Furthermore, a type of request/server cooperation function has been designed for the cooperation among virtual agents to solve the conflicts and to realize the joint goals. Experiment results obtained demonstrated that intelligent virtual agents could cooperate well by our reasoning model.

A Transparent and Decentralized Model of Perception and Action for Intelligent Virtual Agents

2014 ◽  
Vol 23 (04) ◽  
pp. 1460020 ◽  
Author(s):  
George Anastassakis ◽  
Themis Panayiotopoulos
Keyword(s):  
Knowledge Representation ◽  
Virtual Environment ◽  
Virtual World ◽  
Perception And Action ◽  
Virtual Agents ◽  
Virtual Agent ◽  
Complex Interactions ◽  
Intelligent Virtual Agents ◽  
Decentralized Model ◽  
Over Time

Intelligent virtual agent behaviour is a crucial element of any virtual environment application as it essentially brings the environment to life, introduces believability and realism and enables complex interactions and evolution over time. However, the development of mechanisms for virtual agent perception and action is neither a trivial nor a straight-forward task. In this paper we present a model of perception and action for intelligent virtual agents that meets specific requirements and can as such be systematically implemented, can seamlessly and transparently integrate with knowledge representation and intelligent reasoning mechanisms, is highly independent of virtual world implementation specifics, and enables virtual agent portability and reuse.

scholarly journals Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions

2011 ◽  
pp. 305-324
Author(s):  
Wan Ching Ho ◽  
Kerstin Dautenhahn ◽  
Meiyii Lim ◽  
Sibylle Enz ◽  
Carsten Zoll ◽  
...  
Keyword(s):  
Autonomous Agents ◽  
Virtual Learning Environment ◽  
Virtual Agents ◽  
Cultural Backgrounds ◽  
Social Agents ◽  
Agent Interactions ◽  
Human Agent ◽  
The World ◽  
Intelligent Virtual Agents ◽  
Emotional Knowledge

This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modelling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottom-up approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.

scholarly journals Chapter 9 - Theory of Mind and Joint Attention - The Handbook on Socially Interactive Agents

2021 ◽  
Author(s):  
Jairo Pérez-Osorio ◽  
Eva Wiese ◽  
Agnieszka Wykowska
Keyword(s):  
Theory Of Mind ◽  
Joint Attention ◽  
Cognitive Neuroscience ◽  
Computational Models ◽  
Social Cognitive ◽  
Virtual Agents ◽  
Artificial Agents ◽  
Future Directions ◽  
Social Cognitive Neuroscience ◽  
Intelligent Virtual Agents

The present chapter provides an overview from the perspective of social cognitive neuroscience (SCN) regarding theory of mind (ToM) and joint attention (JA) as crucial mechanisms of social cognition and discusses how these mechanisms have been investigated in social interaction with artificial agents. In the final sections, the chapter reviews computational models of ToM and JA in social robots (SRs) and intelligent virtual agents (IVAs) and discusses the current challenges and future directions.

scholarly journals Intelligence via ultrafilters: structural properties of some intelligence comparators of deterministic Legg-Hutter agents

2019 ◽  
Vol 10 (1) ◽  
pp. 24-45
Author(s):  
Samuel Allen Alexander
Keyword(s):  
Structural Properties ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Related Question ◽  
Practical Intelligence ◽  
Guiding Principle ◽  
Intelligence Measures ◽  
Open Question ◽  
Structural Theorems

Abstract Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg-Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose an elegant answer based on the following insight: we can view Legg-Hutter agents as candidates in an election, whose voters are environments, letting each environment vote (via its rewards) which agent (if either) is more intelligent. This leads to an abstract family of comparators simple enough that we can prove some structural theorems about them. It is an open question whether these structural theorems apply to more practical intelligence measures.

scholarly journals CLIL TEACHERS’ PERCEPTIONS OF INTERCULTURAL COMPETENCE IN PRIMARY EDUCATION

2017 ◽  
pp. 82-99 ◽  
Author(s):  
Elisa Pérez Gracia ◽  
Ma. Elena Gómez Parra ◽  
Rocío Serrano Rodríguez
Keyword(s):  
Primary Education ◽  
Intercultural Competence ◽  
Conceptual Analysis ◽  
Qualitative Data ◽  
Linguistic Competence ◽  
Teachers Perceptions ◽  
Intercultural Awareness ◽  
Quantitative Data Analysis ◽  
Open Question ◽  
Question Survey

CLIL (Content and Language Integrated Learning) includes the development of intercultural awareness as one of its main axes. Therefore, the main objective of this research is to examine the perceptions that CLIL teachers have regarding Intercultural Competence (IC) and the elements that contribute to its development. Through an open-question survey, we analysed the opinions of 59 Primary Education CLIL teachers from Cordoba. For the analysis of the qualitative data, Atlas.ti has been used on its two options: the textual and the conceptual analysis, thus generating the corresponding networks. On the other hand, SPSS v. 21 was used for the quantitative data analysis. The results show that CLIL teachers define IC closely linked to linguistic competence, and that communicative activities play an important role.

scholarly journals Towards Learning ‘Self' and Emotional Knowledge in Social and Cultural Human-Agent Interactions

2010 ◽  
pp. 602-621
Author(s):  
Wan Ching Ho ◽  
Kerstin Dautenhahn ◽  
Meiyii Lim ◽  
Sibylle Enz ◽  
Carsten Zoll ◽  
...  
Keyword(s):  
Autonomous Agents ◽  
Virtual Learning Environment ◽  
Virtual Agents ◽  
Cultural Backgrounds ◽  
Social Agents ◽  
Agent Interactions ◽  
Human Agent ◽  
The World ◽  
Intelligent Virtual Agents ◽  
Emotional Knowledge

This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modelling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottom-up approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.

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