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 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>

Voice-enabled Intelligent Virtual Agents for People with Amnesia: A Systematic Review (Preprint)

2021 ◽  
Author(s):  
Roel Boumans ◽  
Yana van de Sande ◽  
Serge Thill ◽  
Tibor Bosse
Keyword(s):  
Experimental Studies ◽  
Verbal Interaction ◽  
Virtual Agents ◽  
Study Quality ◽  
Virtual Agent ◽  
Memory Problems ◽  
Intelligent Virtual Agents ◽  
With Memory ◽  
Confounding Parameters

BACKGROUND Older adults often have increasing memory problems, and worldwide about 50 million people have dementia. This syndrome gradually affects a patient over a period of 10-20 years. Intelligent virtual agents may support people suffering from memory problems. OBJECTIVE To identify the state of the art of experimental studies with virtual agents on a screen capable of verbal dialogues with older adults with memory problems. METHODS Conduct a systematic search into selected databases PubMed, SCOPUS, Microsoft Academic, Google Scholar, Web of Science and CrossRef on Virtual Agent and Memory Problems on papers that describe such experiments. Search criteria were (“Virtual Agent” OR “Virtual Assistant” OR “Virtual Human” OR “Conversational Agent” OR “Virtual Coach” OR Chatbot) AND (Dementia OR Alzheimer OR Amnesia OR “Mild Cognitive Impairment”). Risk of bias has been evaluated using the QualSyst tool that scores 14 study quality items. Eligible studies are reported in a table including country, study design type, target sample size, controls, study aims, experiment population, intervention details, results and an image of the agent. RESULTS Nine studies were included. The average number of participants in the studies was 18 (SD=12). The verbal interactions were generally short. The human utterance consisted in 8 out of 9 studies out of short words or phrases that were predefined in the agent’s speech recognition algorithm. The average study quality score was .68 (SD=.08) on a scale 0-1.The number of experimental studies on talking virtual agents that support people with memory problems is still small. The details on the verbal interaction are limited, which make it difficult to assess the quality of that interaction and the possible effect of confounding parameters. Further research is needed with extended and prolonged dialogues. CONCLUSIONS The number of experimental studies on talking virtual agents that support people with memory problems is still small. The details on the verbal interaction are limited, which make it difficult to assess the quality of that interaction and the possible effect of confounding parameters. Further research is needed with extended and prolonged dialogues.

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 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.

scholarly journals The TARDIS Framework: Intelligent Virtual Agents for Social Coaching in Job Interviews

2013 ◽  
pp. 476-491 ◽  
Author(s):  
Keith Anderson ◽  
Elisabeth André ◽  
T. Baur ◽  
Sara Bernardini ◽  
M. Chollet ◽  
...  
Keyword(s):  
Virtual Agents ◽  
Job Interviews ◽  
Intelligent Virtual Agents
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