@inproceedings{402a1bb3981b4f54a1bebc0b44fc9a9e,
title = "Motivated Behaviour for Goal Adoption",
abstract = "Social behaviour arises as a result of individual agents cooperating with each other so as to exploit the resources available in a rich and dynamic multi-agent domain. If agents are to make use of others to help them in their tasks, such social behaviour is critical. Underlying this cooperation is the transfer or adoption of goals from one agent to another, a subtle and complex process that depends on the nature of the agents involved. In this paper we analyse this process by building upon a hierarchy previously constructed to define objects, agents and autonomous agents. We describe the motivated self-generation of goals that defines agent autonomy and the adoption of goals between agents that enables social behaviour. Then we consider three classes of goal adoption by objects, agents and autonomous agents. The first of these is merely a question of instantiation, the second requires an understanding of the relationship of the agent to others that are engaging it, and the third amounts to a question of negotiation or persuasion.",
author = "Michael Luck and Mark d{\textquoteright}Inverno",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 4th Australian Workshop on Distributed Artificial Intelligence, DAI 1998 ; Conference date: 13-07-1998 Through 13-07-1998",
year = "1998",
month = dec,
day = "18",
doi = "10.1007/10693067\_5",
language = "English",
isbn = "3540654771",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "58--73",
editor = "Chenqi Zhang and Dickson Lukose",
booktitle = "Multi-Agent Systems. Theories, Languages and Applications",
address = "Germany",
edition = "1st",
url = "https://link.springer.com/book/10.1007/b88579",
}