Agreeing What to Do

TY - CHAP

T1 - Agreeing What to Do

AU - Black, Elizabeth

AU - Atkinson, Katie

PY - 2011

Y1 - 2011

N2 - When deliberating about what to do, an autonomous agent must generate and consider the relative pros and cons of the different options. The situation becomes even more complicated when an agent is involved in a joint deliberation, as each agent will have its own preferred outcome which may change as new information is received from the other agents involved in the deliberation. We present an argumentation-based dialogue system that allows agents to come to an agreement on how to act in order to achieve a joint goal. The dialogue strategy that we define ensures that any agreement reached is acceptable to each agent, but does not necessarily demand that the agents resolve or share their differing preferences. We give properties of our system and discuss possible extensions.

AB - When deliberating about what to do, an autonomous agent must generate and consider the relative pros and cons of the different options. The situation becomes even more complicated when an agent is involved in a joint deliberation, as each agent will have its own preferred outcome which may change as new information is received from the other agents involved in the deliberation. We present an argumentation-based dialogue system that allows agents to come to an agreement on how to act in order to achieve a joint goal. The dialogue strategy that we define ensures that any agreement reached is acceptable to each agent, but does not necessarily demand that the agents resolve or share their differing preferences. We give properties of our system and discuss possible extensions.

U2 - 10.1007/978-3-642-21940-5_2

DO - 10.1007/978-3-642-21940-5_2

M3 - Conference paper

SN - 9783642219399

T3 - Lecture Notes in Computer Science

SP - 12

EP - 30

BT - Argumentation in Multi-Agent Systems

PB - Springer Berlin Heidelberg

ER -