Abstract
Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group
decision making, and organization, in both human and artificial agent systems. An important open research issue refers to group norms, i.e. norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, i) the addressees of the norm, ii) those
that will act on it, and iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop
a reasoning mechanism which enables agents to identify their position with respect to a group norm, so as to further support agent autonomy and coordination when deciding on possible courses of action.
decision making, and organization, in both human and artificial agent systems. An important open research issue refers to group norms, i.e. norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, i) the addressees of the norm, ii) those
that will act on it, and iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop
a reasoning mechanism which enables agents to identify their position with respect to a group norm, so as to further support agent autonomy and coordination when deciding on possible courses of action.
| Original language | English |
|---|---|
| Article number | 15 |
| Pages (from-to) | 1-31 |
| Number of pages | 31 |
| Journal | ACM Transactions on Autonomous and Adaptive Systems |
| Volume | 11 |
| Issue number | 2 |
| Early online date | May 2016 |
| DOIs | |
| Publication status | Published - Jul 2016 |
Bibliographical note
W. W. Vasconcelos acknowledges the support of the Engineering and Physical Sciences Research Council (EPSRC-UK) within the research project “Scrutable Autonomous Systems” (Grant No. EP/J012084/1).The authors thank the three anonymous reviewers for their comments, suggestions, and constructive criticisms. Thanks are due to Dr. Nir Oren, for comments on earlier versions of the article, and Mr. Seumas Simpson, for proofreading the manuscript. Any remaining mistakes are the sole responsibility of the authors.
Keywords
- Algorithms
- Theory
- Norms
- norm reasoning
- organisation