Integrating Social Skills in Task-Oriented 3D IVA

Grimaldo, Fran; Lozano, Miguel; Barber, Fernando; Orduña, Juan M.

doi:10.1007/11550617_30

Cited by 5 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, planning is achieved using hierarchical task networks (HTNs), as in the RETSINA system, while communication issues are based on KQML. Team formation and task coordination have been studied for heuristic search planning (HSP)-based virtual humans in Ciger (2005) and Grimaldo et al (2005) to adapt better to the dynamism of shared environments.…”

Section: Behavioral Animation Of Virtual Humansmentioning

confidence: 99%

Simulating socially intelligent agents in semantic virtual environments

Grimaldo

Lozano²,

Barber

et al. 2008

The Knowledge Engineering Review

Self Cite

View full text Add to dashboard Cite

The simulation of synthetic humans inhabiting virtual environments is a current research topic with a great number of behavioral problems to be tackled. Semantical virtual environments (SVEs) have recently been proposed not only to ease world modeling but also to enhance the agent–object and agent–agent interaction. Thus, we propose the use of ontologies to define the world’s knowledge base and to introduce semantic levels of detail that help the sensorization of complex scenes—containing lots of interactive objects. The object taxonomy also helps to create general and reusable operativity for autonomous characters—for example, liquids can be poured from containers such as bottles. On the other hand, we use the ontology to define social relations among agents within an artificial society. These relations must be taken into account in order to display socially acceptable decisions. Therefore, we have implemented a market-based social model that reaches coordination and sociability by means of task exchanges. This paper presents a multi-agent framework oriented to simulate socially intelligent characters in SVEs. The framework has been successfully tested in three-dimensional (3D) dynamic scenarios while simulating a virtual university bar, where groups of waiters and customers interact with both the objects in the scene and the other virtual agents, finally displaying complex social behaviors.

show abstract

Section: Behavioral Animation Of Virtual Humansmentioning

confidence: 99%

Simulating socially intelligent agents in semantic virtual environments

Grimaldo

Lozano²,

Barber

et al. 2008

The Knowledge Engineering Review

Self Cite

View full text Add to dashboard Cite

show abstract

“…Generalized Partial Global Planning (GPGP) [8], the TAEMS framework [7] or the RETSINA system [10]). Moreover, task coordination has been applied to HSP-based (Heuristic Search Planning) virtual humans in [4] and [12] to adapt better to the dynamism of shared environments.…”

Section: Related Workmentioning

confidence: 99%

Coordination and Sociability for Intelligent Virtual Agents

Grimaldo

Lozano

Barber

Coordination, Organizations, Institutions, and Norms in Agent Systems III

Self Cite

View full text Add to dashboard Cite

Abstract. This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses on the social library integrated in BDI agents to provide socially acceptable decisions. We propose the use of ontologies to define the social relations within an artificial society and the use of a market based mechanism to reach sociability by means of task exchanges. The social model balances rationality, to control the global coordination of the group, and sociability, to simulate relations (e.g. friendliness) and reciprocity among agents. The multi-agent framework has been tested successfully in dynamic environments while simulating a virtual bar, where groups of waiters and customers can interact and finally display complex social behaviors (e.g. task passing, reciprocity, planned meetings).

show abstract