In this paper, we sketch the basic elements of an operational notion of morality for multiagent systems. We build such notion on the qualitative economy of exchange values that arises in an ...artificial social system when its agents are able to assess the quality of services that they exchange between each other during their interactions. We present tentative formal definitions for some foundational concepts, and we suggest how the operational notion of morality introduced here can be useful in enhancing the stability and other features of multiagent systems.
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In this work we extend to the interval-valued setting the notion of an overlap functions and we discuss a method which makes use of interval-valued overlap functions for constructing OWA operators ...with interval-valued weights. . Some properties of interval-valued overlap functions and the derived interval-valued OWA operators are analysed. We specially focus on the homogeneity and migrativity properties.
This paper introduces a generalization of migrative functions by extending the conditions of the product operation applied in the variables. We operate a number with the variables according to a ...t-norm instead of multiplying the variable x by this number. Such generalization, whenever it occurs, is called a t-migrative function with respect to such t-norm. Furthermore, we analyse the main properties of t-migrative and t-overlap functions. We introduce some interesting methods of construction of such functions.
Restricted dissimilarity functions (RDFs) were introduced to overcome problems resulting from the adoption of the standard difference. Based on those RDFs, Bustince et al. introduced a generalization ...of the Choquet integral (CI), called d-Choquet integral, where the authors replaced standard differences with RDFs, providing interesting theoretical results. Motivated by such worthy properties, joint with the excellent performance in applications of other generalizations of the CI (using its expanded form, mainly), this article introduces a generalization of the expanded form of the standard Choquet integral (X-CI) based on RDFs, which we named d-XC integrals. We present not only relevant theoretical results but also two examples of applications. We apply d-XC integrals in two problems in decision making, namely a supplier selection problem (which is a multicriteria decision-making problem) and a classification problem in signal processing, based on motor-imagery brain-computer interface (MI-BCI). We found that two d-XC integrals provided better results when compared to the original CI in the supplier selection problem. Besides that, one of the d-XC integrals performed better than any previous MI-BCI results obtained with this framework in the considered signal processing problem.
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in ...which the information given by the fired rules during the inference process is aggregated. A widely used FRM is the winning rule, which applies the maximum to accomplish this aggregation. The maximum is an averaging operator, which means that its result is within the range delimited by the minimum and the maximum of the aggregated values. Recently, new averaging operators based on generalizations of the Choquet integral have been proposed to perform this aggregation process. However, the most accurate FRBCSs use the FRM known as additive combination that considers the normalized sum as the aggregation operator, which is nonaveraging. For this reason, this paper is aimed at introducing a new nonaveraging operator named Formula Omitted-integral, which is a generalization of the Choquet-like Copula-based integral (CC-integral). Formula Omitted-integrals present the desired properties of an aggregation-like operator since they satisfy appropriate boundary conditions and have some kind of increasingness property. We show that Formula Omitted-integrals, when used to cope with classification problems, enhance the results of the previous averaging generalizations of the Choquet integral and provide competitive results (even better) when compared with state-of-the-art FRBCSs.
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in ...which the information given by the fired rules during the inference process is aggregated. A widely used FRM is the winning rule, which applies the maximum to accomplish this aggregation. The maximum is an averaging operator, which means that its result is within the range delimited by the minimum and the maximum of the aggregated values. Recently, new averaging operators based on generalizations of the Choquet integral have been proposed to perform this aggregation process. However, the most accurate FRBCSs use the FRM known as additive combination that considers the normalized sum as the aggregation operator, which is nonaveraging. For this reason, this paper is aimed at introducing a new nonaveraging operator named C F1F2 -integral, which is a generalization of the Choquet-like Copula-based integral (CC-integral). C F1F2 -integrals present the desired properties of an aggregation-like operator since they satisfy appropriate boundary conditions and have some kind of increasingness property. We show that C F1F2 -integrals, when used to cope with classification problems, enhance the results of the previous averaging generalizations of the Choquet integral and provide competitive results (even better) when compared with state-of-the-art FRBCSs.
Regulation of social exchanges refers to controlling social exchanges between agents so that the balance of exchange values involved in the exchanges are continuously kept—as far as possible—near to ...equilibrium. Previous work modeled the social exchange regulation problem as a POMDP (Partially Observable Markov Decision Process), and defined the
policyToBDIplans
algorithm to extract BDI (Beliefs, Desires, Intentions) plans from POMDP models, so that the derived BDI plans can be applied to keep in equilibrium social exchanges performed by BDI agents. The aim of the present paper is to extend that BDI-POMDP agent model for self-regulation of social exchanges with a module, based on HMM (Hidden Markov Model), for recognizing and learning partner agents’ social exchange strategies, thus extending its applicability to open societies, where new partner agents can freely appear at any time. For the recognition problem,
patterns of refusals
of exchange proposals are analyzed, as such refusals are produced by the partner agents. For the learning problem, HMMs are used to capture probabilistic state transition and observation functions that model the social exchange strategy of the partner agent, in order to translate them into POMDP’s action-based state transition and observation functions. The paper formally addresses the problem of translating HMMs into POMDP models and vice versa, introducing the translation algorithms and some examples. A discussion on the results of simulations of strategy-based social exchanges is presented, together with an analysis about related work on social exchanges in multiagent systems.
Piaget's theory of social exchanges has been used as the basis for the analysis of interactions in Multiagent Systems, allowing the modeling of interactions as services exchange processes between ...pairs of agents, followed by the evaluation of those services by the agents involved, producing the so-called social exchange values. The purpose of this work is to develop a BDI-Fuzzy agent model for the Jason platform, with abilities to assess qualitatively, subjectively the social exchanges values originated in the provision and in the receipt of non-economic services, based on Piaget's theory of social exchanges. An application to the simulation of exchange processes in a social organization, namely, the urban vegetable garden San Jerónimo (Seville, Spain) is presented.
This paper presents a centralized mechanism for solving the coordination problem of personality-based multiagent systems from the point of view of social exchanges. The agents may have different ...personality traits, which induce different attitudes towards both the regulation mechanism and the possible profits of social exchanges. A notion of exchange stability can be defined, and the connections between agents’ personalities and deviations of social exchanges from the stability point can be established. The model supports a decision procedure based on Qualitative Interval Markov Decision Processes, that can solve the problem of keeping the stability of social exchanges, in spite of the different personality traits of the agents. The paper deals only with transparent agents (agents that allow the external access to their balances of exchange values), but we hint on the case of non-transparent agents. The model is analyzed theoretically and contextualized simulations are presented.
This paper introduces systems of exchange values as tools for the self-regulation of multi-agent systems. Systems of exchange values are defined on the basis of the model of social exchanges proposed ...by J. Piaget. A model of social control is proposed, where exchange values are used for supporting the regulation of the performance of social exchanges. Social control is structured around two coordinated functions: the evaluation of the current balance of exchange values and the determination of the target equilibrium point for such balance, and the maintenance of the balance of exchange values around the current target equilibrium point. The paper focuses on the second function of social control, introducing a (for the moment, centralized) equilibrium supervisor that solves the problem of keeping the system in a state of equilibrium by making use of a Qualitative Markov Decision Process that uses intervals for the representation of exchange values.
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