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

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.

Download Full-text

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

Virtual Learning Environments ◽

10.4018/978-1-4666-0011-9.ch705 ◽

2012 ◽

pp. 1426-1445

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.

Download Full-text

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

International Journal of Agent Technologies and Systems ◽

10.4018/jats.2009070104 ◽

2009 ◽

Vol 1 (3) ◽

pp. 51-78 ◽

Cited By ~ 3

Author(s):

Wan Ching Ho ◽

Kerstin Dautenhahn ◽

Meiyii Lim ◽

Sibylle Enz ◽

Carsten Zoll ◽

...

Keyword(s):

Agent Interactions ◽

Human Agent ◽

Emotional Knowledge

Download Full-text

ProbAnch: a Modular Probabilistic Anchoring Framework

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2020/771 ◽

2020 ◽

Author(s):

Andreas Persson ◽

Pedro Zuidberg Dos Martires ◽

Luc de Raedt ◽

Amy Loufti

Keyword(s):

Autonomous Agents ◽

Probabilistic Reasoning ◽

Data Driven ◽

Sensor Data ◽

Object Representations ◽

Reasoning System ◽

Human Agent ◽

The World ◽

Modular Data ◽

Over Time

Modeling object representations derived from perceptual observations, in a way that is also semantically meaningful for humans as well as autonomous agents, is a prerequisite for joint human-agent understanding of the world. A practical approach that aims to model such representations is perceptual anchoring, which handles the problem of mapping sub-symbolic sensor data to symbols and maintains these mappings over time. In this paper, we present ProbAnch, a modular data-driven anchoring framework, whose implementation requires a variety of well-orchestrated components, including a probabilistic reasoning system.

Download Full-text

Importance of Considering User’s Social Skills in Human-agent Interactions - Is Performing Self-adaptors Appropriate for Virtual Agents?

Proceedings of the 6th International Conference on Agents and Artificial Intelligence ◽

10.5220/0004751801150122 ◽

2014 ◽

Cited By ~ 1

Keyword(s):

Social Skills ◽

Virtual Agents ◽

Agent Interactions ◽

Human Agent

Download Full-text

Towards alignment strategies in human-agent interactions based on measures of lexical repetitions

Language Resources and Evaluation ◽

10.1007/s10579-021-09532-w ◽

2021 ◽

Author(s):

Guillaume Dubuisson Duplessis ◽

Caroline Langlet ◽

Chloé Clavel ◽

Frédéric Landragin

Keyword(s):

Agent Interactions ◽

Human Agent

Download Full-text

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

International Journal of Artificial Intelligence Tools ◽

10.1142/s0218213014600203 ◽

2014 ◽

Vol 23 (04) ◽

pp. 1460020 ◽

Cited By ~ 5

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.

Download Full-text

Perceptions on Authenticity in Chat Bots

Multimodal Technologies and Interaction ◽

10.3390/mti2030060 ◽

2018 ◽

Vol 2 (3) ◽

pp. 60 ◽

Cited By ~ 9

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.

Download Full-text

The Attenuating Effect of Intelligent Agents and Agent Autonomy on Managers' Ability to Diffuse Responsibility for and Engage in Earnings Management

Accounting Horizons ◽

10.2308/horizons-19-133 ◽

2020 ◽

Vol 34 (4) ◽

pp. 143-164

Author(s):

Peter C. Kipp ◽

Mary B. Curtis ◽

Ziyin Li

Keyword(s):

Earnings Management ◽

Financial Reporting ◽

Intelligent Agents ◽

Autonomous Agents ◽

Ethical Conduct ◽

Human Agent ◽

Perception Of Control ◽

Reporting Decisions ◽

Aggressive Financial Reporting

SYNOPSIS Advances in IT suggest that computerized intelligent agents (IAs) may soon occupy many roles that presently employ human agents. A significant concern is the ethical conduct of those who use IAs, including their possible utilization by managers to engage in earnings management. We investigate how financial reporting decisions are affected when they are supported by the work of an IA versus a human agent, with varying autonomy. In an experiment with experienced managers, we vary agent type (human versus IA) and autonomy (more versus less), finding that managers engage in less aggressive financial reporting decisions with IAs than with human agents, and engage in less aggressive reporting decisions with less autonomous agents than with more autonomous agents. Managers' perception of control over their agent and ability to diffuse their own responsibility for financial reporting decisions explain the effect of agent type and autonomy on managers' financial reporting decisions.

Download Full-text

A Taxonomy for the Social Agents of Scientific Change

Scientonomy Journal for the Science of Science ◽

10.33137/js.v1i0.28234 ◽

2017 ◽

Vol 1 ◽

pp. 55-62

Author(s):

Nicholas Overgaard

Keyword(s):

Scientific Community ◽

Epistemic Community ◽

Epistemic Communities ◽

Scientific Change ◽

Collective Intentionality ◽

Social Agents ◽

Social Agent ◽

The Social ◽

The World ◽

Definition Of

Although we accept that a scientific mosaic is a set of theories and methods accepted and employed by a scientific community, scientific community currently lacks a proper definition in scientonomy. In this paper, I will outline a basic taxonomy for the bearers of a mosaic, i.e. the social agents of scientific change. I begin by differentiating between accidental group and community through the respective absence and presence of a collective intentionality. I then identify two subtypes of community: the epistemic community that has a collective intentionality to know the world, and the non-epistemic community that does not have such a collective intentionality. I note that both epistemic and non-epistemic communities might bear mosaics, but that epistemic communities are the intended social agents of scientific change because their main collective intentionality is to know the world and, in effect, to change their mosaics. I conclude my paper by arguing we are not currently in a position to properly define scientific community per se because of the risk of confusing pseudoscientific communities with scientific communities. However, I propose that we can for now rely on the definition of epistemic community as the proper social agent of scientific change.Suggested Modifications[Sciento-2017-0012]: Accept the following taxonomy of group, accidental group, and community:Group ≡ two or more people who share any characteristic.Accidental group ≡ a group that does not have a collective intentionality.Community ≡ a group that has a collective intentionality. [Sciento-2017-0013]: Provided that the preceding modification [Sciento-2017-0012] is accepted, accept that communities can consist of other communities.[Sciento-2017-0014]: Provided that modification [Sciento-2017-0012] is accepted, accept the following definitions of epistemic community and non-epistemic community as subtypes of community:Epistemic community ≡ a community that has a collective intentionality to know the world.Non-epistemic community ≡ a community that does not have a collective intentionality to know the world.[Sciento-2017-0015]: Provideed that modification [Sciento-2017-0013] and [Sciento-2017-0014] are accepted, accept that a non-epistemic community can consist of epistemic communities.

Download Full-text