Abstract
Systems that pursue their own goals in shared environments can indirectly affect one another in unanticipated ways, such that the actions of other systems can interfere with goal-achievement. As humans have evolved to achieve goals despite interference from others in society, we thus endow socially situated agents with the capacity for social action as a means of mitigating interference in co-existing systems. We demonstrate that behavioural and evolutionary volatility caused by indirect interactions of goal-rational agents can be reduced by designing agents in a more socially-sensitive manner. We therefore challenge the assumption that designers of intelligent systems typically make, that goal-rationality is sufficient for achieving goals in shared environments.
Original language | English |
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Pages (from-to) | 579-596 |
Number of pages | 18 |
Journal | Future Generation Computer Systems |
Volume | 113 |
Early online date | 17 Jul 2020 |
DOIs | |
Publication status | Published - 1 Dec 2020 |
Bibliographical note
© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Keywords
- Interference
- Neuroevolution
- Social action
- Socio-technical systems