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Agent Interaction

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James Odell – One of the best experts on this subject based on the ideXlab platform.

  • AOSE – Representing Agent Interaction protocols with Agent UML
    Agent-Oriented Software Engineering V, 2005
    Co-Authors: Marcphilippe Huget, James Odell

    Abstract:

    Several modeling techniques exist to represent Agent Interaction protocols mostly based on work done in distributed systems. These modeling techniques do not take the Agent features such as the autonomy into account. Agent Interaction Protocol designers are now considering specific modeling techniques that contain these features. In this paper, we present the second version of the Agent UML Interaction diagrams dedicated to Interaction protocols, and based on UML 2.0.

  • Representing Agent Interaction protocols with Agent UML
    Lecture Notes in Computer Science, 2005
    Co-Authors: Marcphilippe Huget, James Odell

    Abstract:

    Several modeling techniques exist to represent Agent Interaction protocols mostly based on work done in distributed systems. These modeling techniques do not take the Agent features such as the autonomy into account. Agent Interaction Protocol designers are now considering specific modeling techniques that contain these features. In this paper, we present the second version of the Agent UML Interaction diagrams dedicated to Interaction protocols, and based on UML 2.0.

  • representing Agent Interaction protocols with Agent uml
    Adaptive Agents and Multi-Agents Systems, 2004
    Co-Authors: Marcphilippe Huget, James Odell

    Abstract:

    Several modeling techniques exist that represent Agent Interaction protocols. These techniques are based primarily on work done in distributed systems and do not consider features such as the Agent autonomy. Agent Interaction Protocol designers are now considering specific modeling techniques that contain these features. In this paper, we present the second version of the Agent UML Interaction diagrams dedicated to Interaction protocols and based on UML 2.0.

Daniel Moldt – One of the best experts on this subject based on the ideXlab platform.

  • Formal semantics for AUML Agent Interaction protocol diagrams
    Lecture Notes in Computer Science, 2005
    Co-Authors: Lawrence Cabac, Daniel Moldt

    Abstract:

    In this paper we introduce an approach for defining semantics for AUML Agent Interaction protocol diagrams using Petri net code structures. This approach is based on the usage of net components which provide basic tasks and the structure for Petri nets. Agent Interaction protocol diagrams are used to model Agent conversations on an abstract level. By mapping elements of the diagrams to net components we are able to translate the diagrams into Petri nets, i.e to generate code structures from the drawings. We provide tool support for this approach by combining a tool for net components with a tool for drawing Agent Interaction protocol diagrams. This combined tool is available as a plug-in for RENEW (Reference Net Workshop).

  • AOSE – Formal semantics for AUML Agent Interaction protocol diagrams
    Agent-Oriented Software Engineering V, 2005
    Co-Authors: Lawrence Cabac, Daniel Moldt

    Abstract:

    In this paper we introduce an approach for defining semantics for AUML Agent Interaction protocol diagrams using Petri net code structures. This approach is based on the usage of net components which provide basic tasks and the structure for Petri nets. Agent Interaction protocol diagrams are used to model Agent conversations on an abstract level. By mapping elements of the diagrams to net components we are able to translate the diagrams into Petri nets, i.e to generate code structures from the drawings. We provide tool support for this approach by combining a tool for net components with a tool for drawing Agent Interaction protocol diagrams. This combined tool is available as a plug-in for Renew (Reference Net Workshop).

  • a proposal for structuring petri net based Agent Interaction protocols
    Applications and Theory of Petri Nets, 2003
    Co-Authors: Lawrence Cabac, Daniel Moldt, Heiko Rolke

    Abstract:

    In this paper we introduce net components as means for structuring Petri net-based Agent Interaction protocols. We provide a tool for effortless application of net components to nets. Thus we facilitate the construction of nets and unify their appearance. Net components can be used to derive code for Interaction protocols from a subset of extended AUML (Agent Unified Modeling Language) Interaction protocol diagrams. This allows for a smooth integration of some traditional software development specification approaches with high-level Petri nets. By using net components we do not only unify the structure of Mulan Agent protocols but also succeed to build a common language within a community of developers who share the net components.

Takayuki Nozawa – One of the best experts on this subject based on the ideXlab platform.

  • effectiveness of intrinsically motivated adaptive Agent for sustainable human Agent Interaction
    International Conference on Neural Information Processing, 2009
    Co-Authors: Takayuki Nozawa, Toshiyuki Kondo

    Abstract:

    To achieve sustainable human-Agent Interaction (HAI), we proposed a new model of intrinsically motivated adaptive Agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. To investigate the model’s effectiveness, we conducted a comparative HAI experiment with a simple Interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability and sustainability. The subjects’ brain activity measured by near-infrared spectroscopy (NIRS) indicated higher variability of activity at left dorsolateral prefrontal cortex during the Interaction with the proposed Agent.

  • IVA – Sustainability and Predictability in a Lasting Human—Agent Interaction
    Intelligent Virtual Agents, 1
    Co-Authors: Toshiyuki Kondo, Daisuke Hirakawa, Takayuki Nozawa

    Abstract:

    Sustainability is one of important features to be considered in a human—Agent Interaction (HAI) process, because humans are unavoidably accustomed to the Agents and it seems to become boredom as the Agents’ behaviors come to be predictable. To be clear the relationship between the sustainability and the predictability, the Interaction processes between human subjects and a virtual entertainment robot with either of three different Interaction models are evaluated.