Bayesian Inference of Social Norms as Shared Constraints on Behavior

People act upon their desires, but often, also act in adherence to implicit social norms. How do people infer these unstated social norms from others' behavior, especially in novel social contexts? We propose that laypeople have intuitive theories of social norms as behavioral constraints shared across different agents in the same social context. We formalize inference of norms using a Bayesian Theory of Mind approach, and show that this computational approach provides excellent predictions of how people infer norms in two scenarios. Our results suggest that people separate the influence of norms and individual desires on others' actions, and have implications for modelling generalizations of hidden causes of behavior.Comment: 7 pages, 5 figures, to appear in CogSci 2019, code available at https://github.com/ztangent/norms-cogsci1

Does virtuous circle between social capital and CSR exist? A “network of games” model and some empirical evidence

Social capital and corporate social responsibility (CSR) have received increasing attention in research on the role that elements such as trust, trustworthiness and social norms of reciprocity and cooperation may have in promoting socio-economic development. Although social capital and CSR seem to have features in common, their relationship has not yet been analysed in depth. This paper investigates the idea of a virtuous circle between the level of social capital and the implementation of CSR practices that fosters the creation of cooperative networks between the firm and all its stakeholders. By using both a theoretical approach developed by considering tools of network analysis and psychological game theory and an empirical approach based on original evidence from three case studies, this study shows the role that cognitive social capital (understood as a disposition to conform with ethical principles of cooperation) and the adoption of CSR practices may have in promoting the emergence of sustainable networks of relations between the firm and all its stakeholders (structural social capital).Social capital, Corporate Social Responsibility, Social norms, Network, Cooperation, Trust

The Current State of Normative Agent-Based Systems

Recent years have seen an increase in the application of ideas from the social sciences to computational systems. Nowhere has this been more pronounced than in the domain of multiagent systems. Because multiagent systems are composed of multiple individual agents interacting with each other many parallels can be drawn to human and animal societies. One of the main challenges currently faced in multiagent systems research is that of social control. In particular, how can open multiagent systems be configured and organized given their constantly changing structure? One leading solution is to employ the use of social norms. In human societies, social norms are essential to regulation, coordination, and cooperation. The current trend of thinking is that these same principles can be applied to agent societies, of which multiagent systems are one type. In this article, we provide an introduction to and present a holistic viewpoint of the state of normative computing (computational solutions that employ ideas based on social norms.) To accomplish this, we (1) introduce social norms and their application to agent-based systems; (2) identify and describe a normative process abstracted from the existing research; and (3) discuss future directions for research in normative multiagent computing. The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research.Norms, Normative Agents, Agents, Agent-Based System, Agent-Based Simulation, Agent-Based Modeling

The Effectiveness of International Adjudicators

This chapter, in the Oxford Handbook of International Adjudication, provides an overview of the burgeoning literature on the effectiveness of international courts and tribunals (ICs). It considers four dimensions of effectiveness that have engendered debates among scholars or received insufficient scrutiny. The first dimension, case-specific effectiveness, evaluates whether the litigants to a specific dispute change their behavior following an IC ruling, an issue closely linked to compliance with IC judgments. The second variant, erga omnes effectiveness, assesses whether IC decisions have systemic precedential effects that influence the behavior of all states subject to a tribunal’s jurisdiction. The third approach, embeddedness effectiveness, evaluates the extent to which ICs anchor their judgments in domestic legal orders, enabling national actors to remedy potential treaty violations at home and avoid the need for international litigation. The fourth type, norm-development effectiveness, considers how IC decisions contribute to building a coherent body of international jurisprudence. For each type of effectiveness, the chapter reviews recent studies, identifies contested or under-analyzed issues, and suggests paths for future research