TY - GEN
T1 - Engagement and cooperation in motivated agent modelling
AU - Luck, Michael
AU - D’Inverno, Mark
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1996.
PY - 1996/6/12
Y1 - 1996/6/12
N2 - The title of this paper suggests two distinct aspects of the models that we propose and consider. The first of these is the modelling of other agents by motivated agents. That is to say that the act of modelling is itself motivated and constrained by the agent doing that modelling. The second aspect is that all such models will also be of motivated agents. It is not sufficient merely to know what other agents are like, but also to know why they are like that. This why aspect is what provides the extra information that allows a greater understanding of the interactions between entities in the world, and consequently provides for more resilient agents capable of effectively dealing with new and unforeseen circumstances in an uncertain world. Previous work has described a formal framework for agency and autonomy in which agents are viewed as objects with goals, and autonomous agents are agents with motivations. This paper considers the nature of cooperation within that framework. We identify distinct kinds of interaction, depending on the nature of the entities involved. In particular, we describe and specify the differences that arise in these interactions which we characterise as engagements of non-autonomous agents, and cooperation between autonomous agents.
AB - The title of this paper suggests two distinct aspects of the models that we propose and consider. The first of these is the modelling of other agents by motivated agents. That is to say that the act of modelling is itself motivated and constrained by the agent doing that modelling. The second aspect is that all such models will also be of motivated agents. It is not sufficient merely to know what other agents are like, but also to know why they are like that. This why aspect is what provides the extra information that allows a greater understanding of the interactions between entities in the world, and consequently provides for more resilient agents capable of effectively dealing with new and unforeseen circumstances in an uncertain world. Previous work has described a formal framework for agency and autonomy in which agents are viewed as objects with goals, and autonomous agents are agents with motivations. This paper considers the nature of cooperation within that framework. We identify distinct kinds of interaction, depending on the nature of the entities involved. In particular, we describe and specify the differences that arise in these interactions which we characterise as engagements of non-autonomous agents, and cooperation between autonomous agents.
UR - http://www.scopus.com/inward/record.url?scp=84949465822&partnerID=8YFLogxK
U2 - 10.1007/3-540-61314-5_22
DO - 10.1007/3-540-61314-5_22
M3 - Conference proceeding
AN - SCOPUS:84949465822
SN - 3540613145
SN - 9783540613145
T3 - Lecture Notes in Computer Science
SP - 70
EP - 84
BT - Distributed Artificial Intelligence: Architecture and Modelling
A2 - Zhang, Chengqi
A2 - Lukose, Dickson
PB - Springer Berlin Heidelberg
T2 - 1st Australian Workshop on Distributed Artificial Intelligence, DAI 1995
Y2 - 13 November 1995 through 13 November 1995
ER -