Planning Interactions for Agents in Argumentation-Based Negotiation

Alison R. Panisson; Giovani Farias; Artur Freitas; Felipe Meneguzzi; Renata Vieira; Rafael H. Bordini

Planning Interactions for Agents in Argumentation-Based Negotiation

Alison R. Panisson, Giovani Farias, Artur Freitas, Felipe Meneguzzi, Renata Vieira, Rafael H. Bordini

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

In this paper, we present the modelling of a domain of argumentation-based negotiation with scarce resources so that Hierarchical Task Network planning can be used for finding appropriate strategies for the negotiating agents. In our modelling, the agents justify their positions on interactions throughout the course of a negotiation episode, and such justifications are taken into account in future interactions. This approach allows the agents to plan the outcome of a negotiation and use this information in their favour. Our method, further, selects the best plan
among those found by the HTN planner, based on the plan costs. This allows the agents to choose the best reachable plan in order to reach the desired outcome.

Original language	English
Title of host publication	11th International Workshop on Argumentation in Multiagent Systems
Number of pages	15
Publication status	Published - 2014

Cite this

@inproceedings{f8fbf631d75f4668bae4ff0c6fdb61ba,

title = "Planning Interactions for Agents in Argumentation-Based Negotiation",

abstract = "In this paper, we present the modelling of a domain of argumentation-based negotiation with scarce resources so that Hierarchical Task Network planning can be used for finding appropriate strategies for the negotiating agents. In our modelling, the agents justify their positions on interactions throughout the course of a negotiation episode, and such justifications are taken into account in future interactions. This approach allows the agents to plan the outcome of a negotiation and use this information in their favour. Our method, further, selects the best planamong those found by the HTN planner, based on the plan costs. This allows the agents to choose the best reachable plan in order to reach the desired outcome.",

author = "Panisson, {Alison R.} and Giovani Farias and Artur Freitas and Felipe Meneguzzi and Renata Vieira and Bordini, {Rafael H.}",

year = "2014",

language = "English",

booktitle = "11th International Workshop on Argumentation in Multiagent Systems",

}

TY - GEN

T1 - Planning Interactions for Agents in Argumentation-Based Negotiation

AU - Panisson, Alison R.

AU - Farias, Giovani

AU - Freitas, Artur

AU - Meneguzzi, Felipe

AU - Vieira, Renata

AU - Bordini, Rafael H.

PY - 2014

Y1 - 2014

N2 - In this paper, we present the modelling of a domain of argumentation-based negotiation with scarce resources so that Hierarchical Task Network planning can be used for finding appropriate strategies for the negotiating agents. In our modelling, the agents justify their positions on interactions throughout the course of a negotiation episode, and such justifications are taken into account in future interactions. This approach allows the agents to plan the outcome of a negotiation and use this information in their favour. Our method, further, selects the best planamong those found by the HTN planner, based on the plan costs. This allows the agents to choose the best reachable plan in order to reach the desired outcome.

AB - In this paper, we present the modelling of a domain of argumentation-based negotiation with scarce resources so that Hierarchical Task Network planning can be used for finding appropriate strategies for the negotiating agents. In our modelling, the agents justify their positions on interactions throughout the course of a negotiation episode, and such justifications are taken into account in future interactions. This approach allows the agents to plan the outcome of a negotiation and use this information in their favour. Our method, further, selects the best planamong those found by the HTN planner, based on the plan costs. This allows the agents to choose the best reachable plan in order to reach the desired outcome.

UR - http://www.meneguzzi.eu/felipe/pubs/argmas-planning-jason-2014.pdf

M3 - Published conference contribution

BT - 11th International Workshop on Argumentation in Multiagent Systems

ER -

Planning Interactions for Agents in Argumentation-Based Negotiation

Abstract

Other files and links

Fingerprint

Cite this