This monograph addresses the worlds of social science theory and artificial intelligence AI. The book examines the interaction of individual cognitive factors and social influence on human action and discusses the implications for developments in artificial intelligence.; This book is intended for graduate and research level artificial intelligence and social science theory including sociology, economics, psychology.

The aim of this paper is to clarify what kind of normativity characterizes a convention. First, we argue that conventions have normative consequences because they always involve a form of trust and reliance. We contend that it is by reference to a moral principle impinging on these aspects (i.e. the principle of Reliability) that interpersonal obligations and rights originate from conventional regularities. Second, we argue that the system of mutual expectations presupposed by conventions is a source of agreements. Agreements stemming (...) from conventions are “tacit” in the sense that they are implicated by what agents do (or forbear from doing) and without that any communication between them is necessary. To justify this conclusion, we assume that: (1) there is a salient interpretation, in some contexts, of everyone’s silence as confirmatory of the others’ expectations (an epistemic assumption), and (2) the participating agents share a value of not being motivated by hostile attitudes (a motivational assumption). By clarifying the relation between conventions and agreements, the peculiar normativity of conventions is analyzed. (shrink)

In this paper, a model of norms as cognitive objects is applied to establish connections between social conventions and prescriptions. Relevant literature on this issue, especially found in AI and the social sciences, will be shown to suffer from a dychotomic view: a conventionalistic view proposed by rationality and AI scientists; and a prescriptive view proposed by some philosophers of law (Kelsen 1934/1979, Hart 1961, Ross, 1958).In the present work, the attempt is made to fill the gap between these views (...) by putting forward a hypothesis concerning the process from perceived behavioural regularities to normative assumptions. The emergence of norms will be here seen as intrinsically intertwined with the emergence of normative beliefs. Unlike that assumed by the conventionalistic sight, the process of emergence is seen as a non-continuous phenomenon. A given behavioural regularity will be argued to give rise to a normative belief if and as long as that regularity is believed to be prescribed within the community. Two corollaries of this hypothesis will be examined: (1) unlike that implied by the conventionalistic view, the spreading of norms is not only due to a passive behavioural social influence (imitation) but also to an active cognitive one (the spreading of normative wants and beliefs); (2) unlike that assumed by the prescriptive view, a norm is not necessarily explicitly and deliberately issued by some normative authority, but is grounded upon the norm-addressees' beliefs that they are generally prescribed to comply with it. (shrink)

The necessity to model the mental ingredients of norm compliance is a controversial issue within the study of norms. So far, the simulation-based study of norm emergence has shown a prevailing tendency to model norm conformity as a thoughtless behavior, emerging from social learning and imitation rather than from specific, norm-related mental representations. In this paper, the opposite stance—namely, a view of norms as hybrid, two-faceted phenomena, including a behavioral/social and an internal/mental side—is taken. Such a view is aimed at (...) accounting for the difference between norms, on one hand, and either behavioral regularities (conventions) on the other. This paper, in particular, is addressed to find out the internal ingredients required for the former distinction, i.e., to model norms as distinct from mere conventions, and defined as behaviors spreading to the extent that and because the corresponding commands and beliefs do spread as well. After a brief presentation of a normative agent architecture, the results of agent-based simulations testing the impact of norm recognition and the role of normative beliefs in the emergence and innovation of social norms are presented and discussed. More specifically, the present work will endeavour to show that a sudden external constraint (e.g. a barrier preventing agents from moving among social settings) facilitates norm innovation: under such a condition, agents provided with a module for telling what a norm is can generate new (social) norms by forming new normative beliefs, irrespective of the most frequent actions. (shrink)

In this paper, an integrated, cognitive view of different mechanisms, reasons and pathways to norm compliance is presented. After a short introduction, theories of norm compliance are reviewed, and found to group in four main typologies: the rational choice model of norm compliance; theories based on conditional preferences to conformity, theories of thoughtless conformity, and theories of norm internalization. In the third section of the paper, the normative architecture EMIL-A is presented. Previous work discussed the epistemic module of this normative (...) architecture, allowing for the generation of normative beliefs being formed. The fourth and fifth sections present the pragmatic modules of EMIL-A, i.e. norm adoption—leading to normative goals—and norm compliance—leading to their execution. Not only are several alternative reasons for norm adoption shown, but also several pathways to norm compliance are identified. Finally, a summary and ideas for future works conclude the paper. (shrink)

In this paper, the current AI view that emergent functionalities apply only to the study of subcognitive agents is questioned; a hypercognitive view of autonomous agents as proposed in some AI subareas is also rejected. As an alternative view, a unified theory of social interaction is proposed which allows for the consideration of both cognitive and extracognitive social relations. A notion of functional effect is proposed, and the application of a formal model of cooperation is illustrated. Functional cooperation shows the (...) role of extracognitive phenomena in the interaction of intelligent agents, thus representing a typical example of emergent functionality. (shrink)

This is an excerpt from the contentThe European Social Simulation Association was founded in 2002 by a scientific coalition, the SimSoc consortium, active ever since the first years of social simulation . Ten years before, the first of a series of SimSoc symposia held in Surrey in 1992, marked the birth of a new scientific field, the computer simulation of social life. The volume from the 2nd SimSoc symposium, published in 1995, was titled Artificial Societies . The next year, in (...) 1996, came out the best-seller by Epstein and Axtell Growing Artificial Societies.The planetary dimension of social simulation became apparent through the number of scientific events spreading throughout the world, favoured by increasing synergies both within the social scientific disciplines and across major scientific areas. To computer simulation turned anthropologists, ethologists, geographers, but also computer scientists and ICT designers, ecologists. (shrink)