129,692 research outputs found
Detection and resolution of normative conflicts in multi-agent systems : a literature survey
Peer reviewedPostprin
The normativity of code as law: towards input legitimacy
In the debate on how the new information and communication technologies impact on democratic politics the role played by the digital architecture seems to be surprisingly underrated. In particular, while a lot of attention has been paid to the possibilities that new technologies open up to democratic theory, few works have attempted to look at how democracy may help in shaping technologies. By adopting as a starting point the approach known as âcode as lawâ, the paper aims at two objectives: to re-affirm the importance of discussing normative principles to guide the process of code writing in order to reinvigorate the debate; to claim the importance of input reasons when deciding which principles should be chosen. After having remarked that code is relevant for establishing democratic norms, the paper briefly tackles with the main attempts by European scholars to deal with this issue. Then, a couple of practical examples of how code impacts on democratic rights are sketched out. In the last section of the paper a shift from an output-based approach to the legitimacy of code to an input-based is openly advocated: an inquiry into the legitimacy of code should focus on its production
SMEs and Certified Management Standards: The Effect of Motives and Timing on Implementation and Commitment
Existing research on certifiable management standards (CMS) and corporate social responsibility (CSR) tends to focus on large companies and is characterised by disagreement about the role of these standards as drivers of CSR. We contribute to the literature by shifting the analytical focus to the behaviour of small and medium-sized enterprises (SMEs) that subscribe to multiple CSR related standards. We argue that, in respect of motive and commitment, SMEs are not as different from large companies as the literature suggests, as they are guided by similar institutional and economic motives. Results, based on ISO 9001, ISO 14001 and OHSAS 18001 certified SMEs in Greece, demonstrate that later adopters are more susceptible to coercive and mimetic motives and are less likely to commit fully to the CMS requirements, while earlier adopters react to normative motives and considerations of internal efficiency gains and tend to carry out CMS requirements with greater diligence
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Comparative party finance reform
In Britain, the Political Parties, Elections and Referendums Act has revolutionized the regulation of party finance after several half-hearted failures at attempted reform. In France, a series of high-profile corruption scandals in the 1980s and 1990s provoked a bout of âlegislative incontinenceâ â resulting in over eight laws in seven years, which profoundly transformed the regime regulating party finance. The comparative analysis of reforms in each country presented here questions the utility of crude âconstitutional engineeringâ theories, and the notion of party system âcartelizationâ by major parties, neither of which offers a wholly convincing account of the paths of reform in Britain and France. It explores the use of new institutionalist theories as a comparative framework and concludes that these provide a cogent explanation for the alternative paths taken by each country with party finance regulation
How to Complete Regulations in Multi-agent Systems
In this paper, we deal with regulations that may exist in multiagent systems in order to regulate agent behaviour. More precisely, we discuss two properties of regulations, consistency and ompleteness. After defining what consistency and completeness mean, we propose a way to consistently complete incomplete regulations. This contribution considers that regulations are expressed in a first order deontic logic. We will focus on particular regulations: information exchange policies
Designing Normative Theories for Ethical and Legal Reasoning: LogiKEy Framework, Methodology, and Tool Support
A framework and methodology---termed LogiKEy---for the design and engineering
of ethical reasoners, normative theories and deontic logics is presented. The
overall motivation is the development of suitable means for the control and
governance of intelligent autonomous systems. LogiKEy's unifying formal
framework is based on semantical embeddings of deontic logics, logic
combinations and ethico-legal domain theories in expressive classic
higher-order logic (HOL). This meta-logical approach enables the provision of
powerful tool support in LogiKEy: off-the-shelf theorem provers and model
finders for HOL are assisting the LogiKEy designer of ethical intelligent
agents to flexibly experiment with underlying logics and their combinations,
with ethico-legal domain theories, and with concrete examples---all at the same
time. Continuous improvements of these off-the-shelf provers, without further
ado, leverage the reasoning performance in LogiKEy. Case studies, in which the
LogiKEy framework and methodology has been applied and tested, give evidence
that HOL's undecidability often does not hinder efficient experimentation.Comment: 50 pages; 10 figure
Exploring the dynamics of compliance with community penalties
In this paper, we examine how compliance with community penalties has been theorized hitherto and seek to develop a new dynamic model of compliance with community penalties. This new model is developed by exploring some of the interfaces between existing criminological and socio-legal work on compliance. The first part of the paper examines the possible definitions and dimensions of compliance with community supervision. Secondly, we examine existing work on explanations of compliance with community penalties, supplementing this by drawing on recent socio-legal scholarship on private individualsâ compliance with tax regimes. In the third part of the paper, we propose a dynamic model of compliance, based on the integration of these two related analyses. Finally, we consider some of the implications of our model for policy and practice
concerning community penalties, suggesting the need to move
beyond approaches which, we argue, suffer from compliance myopia; that is, a short-sighted and narrowly focused view of the issues
Strengthening the accountability of independent regulatory agencies: From performance back to democracy
The autonomy of independent regulatory agencies (IRAs) raises concerns about how to keep them accountable. Remarkably, the process of Europeanisation has led to the emergence of a multilevel regulatory system linking IRAs to national and supranational actors but, on the other side, this process has influenced the capacity to make IRAs accountable. The literature about the accountability deficit of IRAs has tried to address this question, but the interplay between delegation, \u2018multi-levelisation\u2019 and accountability has not been thoroughly investigated yet. Notably, theoretical analysis of IRAs\u2019 accountability in multilevel regulatory environments is still scarce. This article is aimed at contributing to the debate by pointing out that any theoretical discussion about the accountability of IRAs should be framed in normative terms and, precisely, should reconsider a crucial dimension neglected so far, that is, the goals accountability is expected to achieve. The article, in fact, argues that in multilevel regulatory environments the impact of devices adopted to improve the accountability of IRAs is generally weakened by the presence of a \u2018neutral\u2019 idea of accountability, which dilutes its power. The only way to strengthen the effect of accountability is to bring politics and democratic values back into the regulatory process
Responsible Autonomy
As intelligent systems are increasingly making decisions that directly affect
society, perhaps the most important upcoming research direction in AI is to
rethink the ethical implications of their actions. Means are needed to
integrate moral, societal and legal values with technological developments in
AI, both during the design process as well as part of the deliberation
algorithms employed by these systems. In this paper, we describe leading ethics
theories and propose alternative ways to ensure ethical behavior by artificial
systems. Given that ethics are dependent on the socio-cultural context and are
often only implicit in deliberation processes, methodologies are needed to
elicit the values held by designers and stakeholders, and to make these
explicit leading to better understanding and trust on artificial autonomous
systems.Comment: IJCAI2017 (International Joint Conference on Artificial Intelligence
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