TY - GEN
T1 - Revising institutions governed by institutions for compliant regulations
AU - King, Thomas C.
AU - Li, Tingting
AU - De Vos, Marina
AU - Jonker, Catholijn M.
AU - Padget, Julian
AU - van Riemsdijk, M. Birna
PY - 2016
Y1 - 2016
N2 - Institutions governing multi-agent systems (MASs) are a pervasive means to guide agents towards the aims of the MAS (e.g. collecting data) with regulations on the outcomes of agents’ behaviour. Yet, wider organisations/governments often intend to guide the design of institutions governing MAS in meeting different aims (e.g. preserving the rights of agents). A pervasive means to guide the design of MAS-governing institutions (or any institution, for that matter) is to use institutions at higher tiers of governance (e.g. directives, constitutions) to regulate the regulations of institutions at lower tiers of governance (e.g. national legislation, software policies). A recent innovation has been an automated means to determine the compliance of a lowertier institution’s regulations with a higher-tier’s. However, for a designer of a non-compliant institution there remains a dilemma: be punished for non-compliant regulations or arduously determine and rectify the underlying causes of non-compliance. In this paper we propose a way to automatically determine how to revise an institution to be compliant that also minimises the change in the regulations’ outcomes thus keeping as closely as possible to the institution designers’ original intentions.
AB - Institutions governing multi-agent systems (MASs) are a pervasive means to guide agents towards the aims of the MAS (e.g. collecting data) with regulations on the outcomes of agents’ behaviour. Yet, wider organisations/governments often intend to guide the design of institutions governing MAS in meeting different aims (e.g. preserving the rights of agents). A pervasive means to guide the design of MAS-governing institutions (or any institution, for that matter) is to use institutions at higher tiers of governance (e.g. directives, constitutions) to regulate the regulations of institutions at lower tiers of governance (e.g. national legislation, software policies). A recent innovation has been an automated means to determine the compliance of a lowertier institution’s regulations with a higher-tier’s. However, for a designer of a non-compliant institution there remains a dilemma: be punished for non-compliant regulations or arduously determine and rectify the underlying causes of non-compliance. In this paper we propose a way to automatically determine how to revise an institution to be compliant that also minimises the change in the regulations’ outcomes thus keeping as closely as possible to the institution designers’ original intentions.
UR - https://www.scopus.com/pages/publications/84978878289
U2 - 10.1007/978-3-319-42691-4_11
DO - 10.1007/978-3-319-42691-4_11
M3 - Conference contribution
SN - 9783319426907
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 191
EP - 208
BT - Coordination, Organizations, Institutions, and Normes in Agent Systems XI - COIN 2015 International Workshops COIN@AAMAS, Revised Selected Papers
A2 - Dignum, V.
A2 - Sichman, J.S.
A2 - Sensoy, M.
A2 - Noriega, P.
PB - Springer Verlag
T2 - International Conference on Coordination, Organisations, Institutions and Norms in Agent Systems, 2015
Y2 - 4 May 2015 through 4 May 2015
ER -