246 research outputs found
The significance of indirect costs—application to clinical laboratory test economics using computer facilities
The significance of indirect costs in the cost price calculation of
clinical chemistry laboratory tests by way of the production centres
method has been investigated. A cost structure model based on the ‘production centres’ method, the Academisch Ziekenhuis Groningen
(AZG) 1-2-3 model, is used for the calculation of cost and cost
prices as an add-in tool to the spreadsheet program Lotus 1-2-3.
The system specifications of the AZG 1-2-3 cost structure model
have been extended with facilities to impute all relevant indirect
costs to cost centres by aid of allocation rules, which can be chosen
freely. The inference is made that as indirect costs play a more
important part in decision-making processes concerning planning
and control, the specification of the relation to the cost centres
should be determined in a more detailed way. The AZG 1-2-3 cost
structure model has therefore been extended in order to increase the
significance as a management tool for laboratory management
Acceptance conditions in automated negotiation
In every negotiation with a deadline, one of the negotiating parties has to accept an offer to avoid a break off. A break off is usually an undesirable outcome for both parties, therefore it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When designing such conditions one is faced with the acceptance dilemma: accepting the current offer may be suboptimal, as better offers may still be presented. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. Motivated by the challenges of bilateral negotiations between automated agents and by the results and insights of the automated negotiating agents competition (ANAC), we classify and compare state-of-the-art generic acceptance conditions. We focus on decoupled acceptance conditions, i.e. conditions that do not depend on the bidding strategy that is used. We performed extensive experiments to compare the performance of acceptance conditions in combination with a broad range of bidding strategies and negotiation domains. Furthermore we propose new acceptance conditions and we demonstrate that they outperform the other conditions that we study. In particular, it is shown that they outperform the standard acceptance condition of comparing the current offer with the offer the agent is ready to send out. We also provide insight in to why some conditions work better than others and investigate correlations between the properties of the negotiation environment and the efficacy of acceptance condition
Semantic Mutation Testing for Multi-Agent Systems
This paper introduces semantic mutation testing (SMT) into multiagent systems. SMT is a test assessment technique that makes changes to the interpretation of a program and then examines whether a given test set has the ability to detect each change to the original interpretation. These changes represent possible misunderstandings of how the program is interpreted. SMT is also a technique for assessing the robustness of a program to semantic changes. This paper applies SMT to three rule-based agent programming languages, namely Jason, GOAL and 2APL, provides several contexts in which SMT for these languages is useful, and proposes three sets of semantic mutation operators (i.e., rules to make semantic changes) for these languages respectively, and a set of semantic mutation operator classes for rule-based agent languages. This paper then shows, through preliminary evaluation of our semantic mutation operators for Jason, that SMT has some potential to assess tests and program robustness
Editorial Note
Social Ontology encompasses a wide variety of inquiries into the nature, structure and perhaps essence of social phenomena, and their role and place in our world. Topics of research in Social Ontology range from small-scale interactions to large-scale institutions, from spontaneous teamwork to the functioning of formal organizations, and from unintended consequences to institutional design. Social Ontology brings together theoretical work from a large number of disciplines. This rapidly evolving field of research has attracted increasing attention over the last couple of decades, and the conceptual tools recent research in Social Ontology has provided have proved to be useful in a large number of domains, such as the study of the evolution of communication, the structure of social norms, social structure, and social change, the nature of collective responsibility, and the status of corporate agents.
The Journal of Social Ontology aims to further this research. It provides a forum of exchange between scholars of diverse disciplinary, scholarly, and methodological backgrounds, and invites submissions from all branches of Social Ontology. The Journal of Social Ontology adopts strict standards of selection and relies heavily on its carefully selected referees.
In a world in which publication strategies and outlets are changing at a tremendous pace, it is difficult to say what the future of scholarly publication will look like. With a generous grant from the University of Vienna for the start-up phase, the Journal of Social Ontology now appears as an Open Access Journal with De Gruyter, thus combining professional support by an established publisher with unlimited accessibility. In addition, the Journal of Social Ontology has been founded together with the International Social Ontology Society (ISOS) that supports the work of this journal.
We wish to express our thanks to our supporters, contributors, and referees; we hope that our joint effort will grant the work published in this journal the impact it deserves
Externalisation and Internalization: A New Perspective on Agent Modularisation in Multi-Agent System Programming
Abstract—Agent modularisation is a main issue in agent and multi-agent system programming. Existing solutions typically propose some kinds of constructs – such as capabilities – to group and encapsulate in well-defined modules inside the agent different kinds of agent features, that depend on the architecture or model adopted—examples are goals, beliefs, intentions, skills. In this paper we introduce a further perspective, which can be considered complimentary to existing approaches, which accounts for externalizing some of such functionalities into the computational environment where agents are (logically) situated. In this perspective, agent modules are realised as suitably designed artifacts that agents can dynamically exploit as external tools to enhance their action repertoire and – more generally – their capability to execute tasks. Then, to let agent (and agent programmers) exploit such capabilities abstracting from the low-level mechanics of artifact management and use, we exploit the dual notion of internalization, which consists in dynamically consulting and automatically embedding high-level usage protocols described in artifact manuals as agent plans. The idea is discussed providing some practical examples of use, based on CArtAgO as technology for programming artifacts and Jason agent platform to program the agents. I
What Is an Act of Engagement? Between the Social, Collegial and Institutional Protocols
Engagement is not synonymous with commitment, even though both words are used in translations between English, French, and German. However, engagement is also not some supplementary phenomenon or a technical term that the phrase social acts already includes in itself or that the concepts of ‘commitment’ or ‘joint commitment’ somehow necessarily imply. In this article I would like to describe a special kind of social act and determine the function they have in relation between various agents. Most importantly, I would like to define their significance in the transformation of a group into an institution or higher order entity. My premise is that there are acts whose aim is to engage all others, since they refer to all of us together, and in so doing reduce negative (social) “acts” as well as various asocial behaviors within a group or institution. In this sense, engaged acts could alternatively also belong to a kind of institutional act, since they introduce certain adjustments to the institution, changing or modifying its rules, increasing its consistency and efficiency.First book series in Philosophy of the Social Sciences that specifically focuses on Philosophy of Sociality and Social Ontology.
Studies in the Philosophy of Sociality
Volume 1
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
How Does Reasoning (Fail to) Contribute to Moral Judgment? Dumbfounding and Disengagement
Recent experiments in moral psychology have been taken to imply that moral reasoning only serves to reaffirm prior moral intuitions. More specifically, Jonathan Haidt concludes from his moral dumbfounding experiments, in which people condemn other people’s behavior, that moral reasoning is biased and ineffective, as it rarely makes people change their mind. I present complementary evidence pertaining to self-directed reasoning about what to do. More specifically, Albert Bandura’s experiments concerning moral disengagement reveal that moral reasoning often does contribute effectively to the formation of moral judgments. And such reasoning need not be biased. Once this evidence is taken into account, it becomes clear that both cognition and affect can play a destructive as well as a constructive role in the formation of moral judgments
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