12,101 research outputs found

    A normative approach to multi-agent systems for intelligent buildings

    Get PDF
    Building Management Systems (BMS) are widely adopted in modern buildings around the world in order to provide high-quality building services, and reduce the running cost of the building. However, most BMS are functionality-oriented and do not consider user personalization. The aim of this research is to capture and represent building management rules using organizational semiotics methods. We implement Semantic Analysis, which determines semantic units in building management and their relationship patterns of behaviour, and Norm Analysis, which extracts and specifies the norms that establish how and when these management actions occur. Finally, we propose a multi-agent framework for norm based building management. This framework contributes to the design domain of intelligent building management system by defining a set of behaviour patterns, and the norms that govern the real-time behaviour in a building

    Socionics: Sociological Concepts for Social Systems of Artificial (and Human) Agents

    Get PDF
    Socionics is an interdisciplinary approach with the objective to use sociological knowledge about the structures, mechanisms and processes of social interaction and social communication as a source of inspiration for the development of multi-agent systems, both for the purposes of engineering applications and of social theory construction and social simulation. The approach has been spelled out from 1998 on within the Socionics priority program funded by the German National research foundation. This special issue of the JASSS presents research results from five interdisciplinary projects of the Socionics program. The introduction gives an overview over the basic ideas of the Socionics approach and summarizes the work of these projects.Socionics, Sociology, Multi-Agent Systems, Artificial Social Systems, Hybrid Systems, Social Simulation

    Educating for Intellectual Virtue: a critique from action guidance

    Get PDF
    Virtue epistemology is among the dominant influences in mainstream epistemology today. An important commitment of one strand of virtue epistemology – responsibilist virtue epistemology (e.g., Montmarquet 1993; Zagzebski 1996; Battaly 2006; Baehr 2011) – is that it must provide regulative normative guidance for good thinking. Recently, a number of virtue epistemologists (most notably Baehr, 2013) have held that virtue epistemology not only can provide regulative normative guidance, but moreover that we should reconceive the primary epistemic aim of all education as the inculcation of the intellectual virtues. Baehr’s picture contrasts with another well-known position – that the primary aim of education is the promotion of critical thinking (Scheffler 1989; Siegel 1988; 1997; 2017). In this paper – that we hold makes a contribution to both philosophy of education and epistemology and, a fortiori, epistemology of education – we challenge this picture. We outline three criteria that any putative aim of education must meet and hold that it is the aim of critical thinking, rather than the aim of instilling intellectual virtue, that best meets these criteria. On this basis, we propose a new challenge for intellectual virtue epistemology, next to the well-known empirically-driven ‘situationist challenge’. What we call the ‘pedagogical challenge’ maintains that the intellectual virtues approach does not have available a suitably effective pedagogy to qualify the acquisition of intellectual virtue as the primary aim of education. This is because the pedagogic model of the intellectual virtues approach (borrowed largely from exemplarist thinking) is not properly action-guiding. Instead, we hold that, without much further development in virtue-based theory, logic and critical thinking must still play the primary role in the epistemology of education

    Social influence, negotiation and cognition

    No full text
    To understand how personal agreements can be generated within complexly differentiated social systems, we develop an agent-based computational model of negotiation in which social influence plays a key role in the attainment of social and cognitive integration. The model reflects a view of social influence that is predicated on the interactions among such factors as the agents' cognition, their abilities to initiate and maintain social behaviour, as well as the structural patterns of social relations in which influence unfolds. Findings from a set of computer simulations of the model show that the degree to which agents are influenced depends on the network of relations in which they are located, on the order in which interactions occur, and on the type of information that these interactions convey. We also find that a fundamental role in explaining influence is played by how inclined the agents are to be concilatory with each other, how accurate their beliefs are, and how self-confident they are in dealing with their social interactions. Moreover, the model provides insights into the trade-offs typically involved in the exercise of social influence

    Process Modelling: The Deontic Way

    Get PDF
    Current enterprise systems rely heavily on the modelling and enactment of business processes. One of the key criteria for a business process is to represent not just the behaviours of the participants but also how the contractual relationships among them evolve over the course of an interaction. In this paper we provide a framework in which one can define policies/business rules using deontic assignments to represent the contractual relationships. To achieve this end we use a combination of deontic/normative concepts like proclamation, directed obligation and direct action to account for a deontic theory of commitment which in turn can be used to model business processes in their organisational settings. In this way we view a business process as a social interaction process for the purpose of doing business. Further, we show how to extend the i* framework, a well known organisational modelling technique, so as to accommodate our notion of deontic dependency

    Multi-Agents Systems and Territory: Concepts, Methods and Applications

    Get PDF
    This paper analyses the multi-agents systems that are now considered the best tool to simulate and study real world. We review the main characteristics of a multi-agents system, namely interactions and cooperations of agents, communications and behaviours between them and finally the schedule of actions and jobs assignment to agents. The multi-agents system approach is increasingly applied in social and economic sciences; so we study mainly the territorial applications. In these applications new characteristics arise from the consideration of territory (land and space where the agents live or territory as an agent in itself, that evolves in the time). We study possible new applications of multi-agents applied to the territory (for instance, to define town planning policies or to locate dangerous facilities). Furthermore we study new tools to make operational multi-agents systems (mainly Swarm, the toolkit of Santa Fe Institute). With Swarm we present two kind of territorial applications: with located agents (fixed in space) and with not located agents (moving in the space). Finally we show the results of these applications.

    The Social Cognitive Actor

    Get PDF
    Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation in order to study and understand human behaviour in organisations. The aim of the research is to design and implementat a cognitive and social multi-agent simulation model based on a selection of social and cognitive theories to fulfill the need for a complex cognitive and social model. The emphasis of this dissertation is the relationship between behaviour of individuals (micro-level) in an organisation and the behaviour of the organisation as a whole (macro-level)

    A strategic theoretical framework to safeguard business value for information systems

    Get PDF
    The phenomenon of business value dissipation in mature organisations as an unintended by-product of the adoption and use of information systems has been a highly debated topic in the corporate boardroom awakening the interest of practitioners and academics alike. Much of the discourse tends to focus on the inability of organisations to unlock and realise the intended benefits to be harvested through large information systems investments. While the business case for investing in large technology programmes has been thoroughly investigated, the human agent that causes value erosion through his interaction with information systems (IS), has not received the studied attention it deserves. This study examines the use of technology in organisations by considering the dichotomy inherent in IS where its introduction for the purposes of creating new or sustaining existing business value subsequently also inadvertently dissipates value. The study proceeds to investigate the root people-induced causes resulting in the unintentional dissipation of value and presents an empirically validated model suggesting that human agents do not only create value for organisations through their use of IS, but at the same time, deliberately or inadvertently, dissipate value. The root people-induced causes resulting in the unintentional dissipation of value is delineated within a Theoretical Technology Value Framework that is constructed from a review of the extant literature, and delineates the overall unintentional value destroying causes and effects of IS on organisations. The Theoretical Technology Value Framework is forthwith applied as a basis for the development of a set of questions to support both qualitative and quantitative investigations from which an Archetypical Technology Value Model was derived. Finally, an Archetypical Technology Value Model is presented as a benchmark and basis to identify, investigate, mitigate and minimise or eliminate the unintentional value destroying effects of IS on Information Technology driven organisations. The study concludes with implications for both theory and practice and suggestions on how value erosion through the activities of the human agent may be identified, modeled and mitigated. Ultimately, recommendations are offered towards the crafting of more effective IS.School of ComputingPh. D. (Information Systems
    • 

    corecore