Task-Oriented Conversational Behavior of Agents for Collaboration in Human-Agent Teamwork

International audienceCoordination is an essential ingredient for human-agent teamwork. It requires team members to share knowledge to establish common grounding and mutual awareness among them. This paper proposes a be-havioral architecture C 2 BDI that enhances the knowledge sharing using natural language communication between team members. Collaborative conversation protocols and resource allocation mechanism have been defined that provide proactive behavior to agents for coordination. This architecture has been applied to a real scenario in a collaborative virtual environment for learning. The solution enables users to coordinate with other team members

Empirically-grounded development of legal ontologies: a socio-legal perspective

This paper shows the multiple relationships between empirical data and semantic content in the legal field. One of the well-known problems of ontology construction is the "knowledge acquisition bottleneck problem" pointed out by Edward Feigenbaum and others, many years ago. In the next generation of Semantic Web developments this problem has not been completely solved. It is our con-tention that an accurate description of the legal environment, and well-grounded previous sociological studies may help to face it in a more satisfactory way. This means adopting a user-centered approach for legal ontologies, in what we will call an "iterative and integrated pragmatic circle" involving legal theorists, socio-legal researchers, professional people (lawyers, magistrates, prosecutors…) and com-puter scientists. We put the example of how the ontology of IURISERVICE was built up

Human-agent knowledge cartography for e-science: NASA field trials at the Mars Desert Research Station

This chapter describes the sociotechnical embedding of a knowledge cartography approach (Conversational Modelling) within a prototype e-science work system. This was evaluated over two 2-week field trials, simulating collaborative Mars-Earth geological exploration. We believe this work is the first demonstration of a knowledge mapping tool embedded within a human/software multiagent work system, with humans and agents reading and writing structures amenable to agent understanding and autonomous agent execution, and human understanding, annotation and argumentation. Secondly, in terms of the applied problem, we have demonstrated how human and agent plans, data, multimedia documents, metadata, discussions, interpretations and arguments can be mapped in an integrated manner, and successfully deployed in field trials which simulated aspects of mission workload pressure

Multi-Agent Activity Modeling with the Brahms Environment

More and more people are interested in developing "day in the life " models and simulations of people's behavior at the second and longer timeframe, the interaction between groups of people and systems, as well as the movement an

A Formal Semantics for Brahms

Brahms is a multi-agent modelling, simulation and development environment devised by Sierhuis [1] and subsequently developed at NASA Ames Research Center. Brahms is a modelling language designed to model human activity using rational agents in order to represent people’s activities in real-world contexts, it also allows the representatio