| 1. |
- Aler Tubella, Andrea, 1990-, et al.
(författare)
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Preface
- 2021
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Ingår i: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII. - Cham : Springer. - 9783030723750 - 9783030723767
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 2. |
- Mellema, Rene, et al.
(författare)
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Social rules for agent systems
- 2021
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Ingår i: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII. - Cham : Springer International Publishing. - 9783030723767 - 9783030723750 ; , s. 175-180
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Konferensbidrag (refereegranskat)abstract
- When creating (open) agent systems it has become common practice to use social concepts such as social practices, norms and conventions to model the way the interactions between the agents are regulated. However, in the literature most papers concentrate on only one of these aspects at the time. Therefore there is hardly any research on how these social concepts relate. It is also unclear whether something like a norm evolves from a social practice or convention or whether they are complete independent entities. In this paper we investigate some of the conceptual differences between these concepts. Whether they are fundamentally stemming from a single social object or should be seen as different types of objects altogether. And finally, when one should which type of concept in an implementation or a combination of them.
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| 3. |
- Savarimuthu, Bastin Tony Roy, et al.
(författare)
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Developers’ Responses to App Review Feedback – A Study of Communication Norms in App Development
- 2021
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Ingår i: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII. - Cham : Springer Nature. - 9783030723750 - 9783030723767 ; , s. 57-75
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Konferensbidrag (refereegranskat)abstract
- Norms are general expectations of behavior in societies. Huge amount of computer-mediated interaction data available in the social media domain provides an opportunity to extract and study communication norms, both to understand their prevalence and to make informed decisions about adopting them. While interactions in social media platforms such as Twitter and Facebook have been widely studied, only recently researchers have started examining app reviews provided by users and the responses provided by developers in the domain of app development. In this vein, a lot of attention has been devoted to study the nature of user reviews, however, little is known about developer responses to such reviews. Additionally, no other prior work has scrutinized the nature of communication norms in this domain. Towards addressing these gaps, this work pursues three objectives using a dataset comprising user reviews and developer responses from Google’s top-20 apps used to track running with a total of 24,407 reviews and 2,668 responses. First, based on prior literature in computer-mediated interactions, the study identifies 12 norms in responses provided by developers in three categories (obligation norms, prohibition norms and domain-specific response norms). Second, it scrutinizes the awareness and adoption of these norms. Third, based on the results obtained, this study identifies the need for creating a response recommendation system that generates responses to user reviews either automatically, or with some help from the developers. The proposed response recommendation system is a normative system that will generate responses that abide by the norms identified in this work, and will also monitor potential norm violations (if the responses were to be modified by the developers). Development of such a system forms the focus of future work.
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| 4. |
- Siebert, Luciano Cavalcante, et al.
(författare)
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Improving Confidence in the Estimation of Values and Norms
- 2021
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Ingår i: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII. - Cham : Springer. - 9783030723750 - 9783030723767 ; , s. 98-113
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Konferensbidrag (refereegranskat)abstract
- Autonomous agents (AA) will increasingly be interacting with us in our daily lives. While we want the benefits attached to AAs, it is essential that their behavior is aligned with our values and norms. Hence, an AA will need to estimate the values and norms of the humans it interacts with, which is not a straightforward task when solely observing an agent’s behavior. This paper analyses to what extent an AA is able to estimate the values and norms of a simulated human agent (SHA) based on its actions in the ultimatum game. We present two methods to reduce ambiguity in profiling the SHAs: one based on search space exploration and another based on counterfactual analysis. We found that both methods are able to increase the confidence in estimating human values and norms, but differ in their applicability, the latter being more efficient when the number of interactions with the agent is to be minimized. These insights are useful to improve the alignment of AAs with human values and norms.
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