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Добірка наукової літератури з теми "Agent attitude"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Agent attitude"

Degond, Pierre, Amic Frouvelle, and Sara Merino-Aceituno. "A new flocking model through body attitude coordination." Mathematical Models and Methods in Applied Sciences 27, no. 06 (April 11, 2017): 1005–49. http://dx.doi.org/10.1142/s0218202517400085.

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Анотація:

We present a new model for multi-agent dynamics where each agent is described by its position and body attitude: agents travel at a constant speed in a given direction and their body can rotate around it adopting different configurations. In this manner, the body attitude is described by three orthonormal axes giving an element in [Formula: see text] (rotation matrix). Agents try to coordinate their body attitudes with the ones of their neighbours. In this paper, we give the individual-based model (particle model) for this dynamics and derive its corresponding kinetic and macroscopic equations.

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GOYAL, MADHU. "ATTITUDE CYCLE FOR PROBLEM SOLVING TEAMS IN A DYNAMIC WORLD." International Journal on Artificial Intelligence Tools 13, no. 04 (December 2004): 945–59. http://dx.doi.org/10.1142/s0218213004001910.

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Анотація:

In this paper, a mental attribute called attitude is introduced and its importance in agent problem solving is discussed. It presents the various properties of agents describing how the attitudes of the agents affect the behavior of the agents. The paper also discusses how the attitudes could be described computationally in terms of various attributes. This paper formalizes the team as a collective abstract attitude of participating agents. This concept especially has been very useful in formalising the behaviour of complex teams. The team model grounds the team attitude as the individual attitude of its member agents, which in turn is further divided into the attitudes and behaviours towards the various team attributes. In this paper a team problem solving methodology is also presented, which has the notion attitude and team cycle as its core to allow robust and coherent team behavior. It also shows how these various attitudes ultimately result into various team behaviors in a fire world. The application and implementation of this methodology to a virtual fire-fighting domain has revealed a promising prospect in developing problem solving team agents.

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Ridwan, Achmad Firdaus, and Mokhamad Yasid. "Sikap, Subyektif Normal, Dan Pengendalian Diri Untuk Terhadap Kinerja Agen Pemasaran Produk Hartal Mart." Al-Urban: Jurnal Ekonomi Syariah dan Filantropi Islam 3, no. 2 (December 29, 2019): 164–79. http://dx.doi.org/10.22236/alurban_vol3/is2pp164-179.

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The purpose of this study is to analyze the effect of attitude has a significant influence on agent intentions, the influence of subjective norms on agent intentions, the effect of self-control on agent intentions in marketing halal mart products. This study uses the Theory Planned Behavior method and structured equation modeling (SEM) to see the effect of agents on the intentions and performance of agents to market halalmart products through measurement in terms of attitudes, subjective norms and self-control. The results of the research data show that attitudes, subjective norms and self-control have a significant and positive influence on the intentions of the agents to improve performance in marketing halalmart products.

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Perelman, B. S., A. W. Evans, K. E. Schaefer, and S. G. Hill. "Attitudes Toward Risk and Effort Tradeoffs in Human-Robot Heterogeneous Team Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1098–102. http://dx.doi.org/10.1177/1541931218621252.

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Current operational human-agent teaming paradigms place the full burden of danger on non-human agents. Shifting this burden entirely to the robot is currently possible due to the nature of the limited situations in which teleoperated robots are currently employed in military contexts. However, as the roles of non-human agents grow, robots are expected to function as teammates rather than tools. Here, we present a theoretical framework and metric for quantifying commanders’ attitudes toward risk and effort for humans and robots under their command. Twenty-one participants tasked a Soldier, a robot, and a heterogeneous team to rescue civilians in dangerous environments. Participants were risk averse when tasking each agent individually, but exhibited a risk averse attitude for the Soldier and an effort averse attitude for the robot when tasking the team. These findings show that risk attitudes can change as a function of team composition. The framework developed herein has utility for studying tradeoff attitudes across a wide breadth of contexts.

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KITTO, KIRSTY, and FABIO BOSCHETTI. "ATTITUDES, IDEOLOGIES AND SELF-ORGANIZATION: INFORMATION LOAD MINIMIZATION IN MULTI-AGENT DECISION MAKING." Advances in Complex Systems 16, no. 02n03 (May 2013): 1350029. http://dx.doi.org/10.1142/s021952591350029x.

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Анотація:

Sophisticated models of human social behavior are fast becoming highly desirable in an increasingly complex and interrelated world. Here, we propose that rather than taking established theories from the physical sciences and naively mapping them into the social world, the advanced concepts and theories of social psychology should be taken as a starting point, and used to develop a new modeling methodology. In order to illustrate how such an approach might be carried out, we attempt to model the low elaboration attitude changes of a society of agents in an evolving social context. We propose a geometric model of an agent in context, where individual agent attitudes are seen to self-organize to form ideologies, which then serve to guide further agent-based attitude changes. A computational implementation of the model is shown to exhibit a number of interesting phenomena, including a tendency for a measure of the entropy in the system to decrease, and a potential for externally guiding a population of agents toward a new desired ideology.

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Olson, Jonas. "The Personal and the Fitting." Journal of Moral Philosophy 11, no. 3 (May 2, 2014): 341–52. http://dx.doi.org/10.1163/17455243-01103001.

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This paper is a critical notice of a recent significant contribution to the debate about fitting attitudes and value, namely Toni Rønnow-Rasmussen’s Personal Value (Oxford: Oxford University Press, 2011). In this book, Rønnow-Rasmussen seeks to analyse the notion of personal value—an instance of the notion of good for a person—in terms of fitting attitudes. The paper has three main themes: (i) Rønnow-Rasmussen’s discussion of general problems for fitting attitude analyses; (ii) his formulation of the fitting attitude analysis of personal value and the notion of ‘for someone’s sake (fss) attitudes’; and (iii) his critique of the dichotomy between agent-neutral and agent-relative reasons.

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Young Oh, Eun, Donggil Song, and Hyeonmi Hong. "Interactive Computing Technology in Anti-Bullying Education: The Effects of Conversation-Bot’s Role on K-12 Students’ Attitude Change Toward Bullying Problems." Journal of Educational Computing Research 58, no. 1 (April 10, 2019): 200–219. http://dx.doi.org/10.1177/0735633119839177.

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The aim of this study was to examine the effects of an anti-bullying activity that utilizes conversational virtual agents (called conversation-bots or chatbots) on students’ attitudes toward bullying problems. An experimental pre- or posttest design with a three-group setting was used. Eighty-nine fifth-grade students were assigned to one of three groups: Conversation with a virtual agent of (a) bully’s role, (b) victim’s role, and (c) teacher’s role. All agents are conversation-bots designed to support learner–computer interactions. The bully agent defends the notion that bullying behaviors are acceptable whereas the victim agent argues that bullying behavior cannot be tolerated. The teacher agent teaches students the types of bullying and its negative aspects. The participants completed an anti-bullying attitude test at pre- and posttest, which included students’ anti-bully, intention, pro-victim, behavior, and self-efficacy factors. The results show that students’ attitudes toward bullying problems changed to more positive responses after the implementation that used the conversation-bot. In addition, the results revealed that the agent’s role had an impact on the students’ attitudes toward the anti-bully factor. Implications and future research regarding the use of conversation-bots in education are discussed.

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Wilkerson, Michelle Hoda. "Agents with Attitude: Exploring Coombs Unfolding Technique with Agent-Based Models." International Journal of Computers for Mathematical Learning 14, no. 1 (January 29, 2009): 51–60. http://dx.doi.org/10.1007/s10758-008-9142-6.

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Ioannidis, Evangelos, Nikos Varsakelis, and Ioannis Antoniou. "Promoters versus Adversaries of Change: Agent-Based Modeling of Organizational Conflict in Co-Evolving Networks." Mathematics 8, no. 12 (December 17, 2020): 2235. http://dx.doi.org/10.3390/math8122235.

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Анотація:

The social adoption of change is usually hard because in reality, forces opposing the social adoption of change manifest. This situation of organizational conflict corresponds to the case where two competing groups of influential agents (“promoters” versus “adversaries” of change) operate concurrently within the same organizational network. We model and explore the co-evolution of interpersonal ties and attitudes in the presence of conflict, taking into account explicitly the microscopic “agent-to-agent” interactions. In this perspective, we propose a new ties-attitudes co-evolution model where the diffusion of attitudes depends on the weights and the evolution of weights is formulated as a “learning mechanism” (weight updates depend on the previous values of both weights and attitudes). As a result, the co-evolution is intrinsic/endogenous. We simulate representative scenarios of conflict in 4 real organizational networks. In order to formulate structural balance in directed networks, we extended Heider’s definition of balance considering directed triangles. The evolution of balance involves two stages: first, negative links pop up disorderly and destroy balance, but after some time, as new negative links are formed, a “new” balance is re-established. This “new” balance is emerging concurrently with the polarization of attitudes or domination of one attitude. Moreover, same-minded agents are positively linked and different-minded agents are negatively-linked. This macroscopic self-organization of the system is due only to agent-to-agent interactions, involving feedbacks on weight updates at the local microscopic level.

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Das, S., ME Haque, M. Rokonuzzaman, S. Saha, and SR Saha. "Attitude of Haor Farmers’ Towards Extension Services." Annals of Bangladesh Agriculture 25, no. 2 (December 4, 2022): 61–75. http://dx.doi.org/10.3329/aba.v25i2.62413.

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Анотація:

The study was to determine haor farmers’ attitude towards extension services provided by extension agents in haor area. The study was conducted in Austagram upazila under Kishoregonj district during June to August 2018. Data were collected randomly from 150 haor farmers through face to face interview using an interview schedule. Majority (62%) of the respondents had moderately favorable attitude towards extension service provided by extension agent followed by 26 percent had slightly favorable attitude and only 12 percent showed highly favorable attitude. Extension agents provided enough motivational tour, rice production based training and demonstration effectively. Majority (78%) of the respondents strongly agreed with that ‘Teaching tools (Leaflet, Poster, Demonstration) used by extension agent are very effective.’ The farmers were acutely aware of the benefits and profitability of the extension services. However, 46 percent of the respondents strongly agreed with that ‘Resource-rich farmers get more benefit of extension services than others’. The selected characteristics like, annual income (χ2 value=11.61*), training exposure (χ2 value=15.65*), education level (χ2 value=12.97*) and living distance from upazila headquarter (χ2 value=10.64*) had significant associations with their attitude towards extension services provided by extension agent. The further extension services suggested by the farmer were i) set up local extension office in their union, ii) arranging training based on their problem, iii) make available low cost combine harvester, seed sowing machine and other necessary agricultural equipment’s, iv) extending communication equally for all categories of farmers’ and v) increase number of demonstrations on new high yielding rice varieties. Ann. Bangladesh Agric. (2021) 25 (2) : 61-75

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Більше джерел

Дисертації з теми "Agent attitude"

Ravenet, Brian. "Modélisation de comportements non-verbaux et d'attitudes sociales dans la simulation de groupes conversationnels." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0075/document.

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Анотація:

Les Agents Conversationnels Animés sont des personnages virtuels dont la fonction principale est d'interagir avec l'utilisateur. Ils sont utilisés dans différents domaines tels que l'assistance personnelle, l'entrainement social ou les jeux vidéo et afin d'améliorer leur potentiel, il est possible de leur donner la capacité d'exprimer des comportements similaires à ceux des humains. Les utilisateurs, conscient d'interagir avec une machine, sont tout de même capable d'analyser et d'identifier des comportements sociaux à travers les signaux émis par les agents. La recherche en ACA s'est longtemps intéressée aux mécanismes de reproduction et de reconnaissance des émotions au sein de ces personnages virtuels et maintenant l'intérêt se porte sur la capacité d'exprimer différentes attitudes sociales. Ces attitudes reflètent un style comportemental et s'expriment à travers différentes modalités du corps comme les expressions faciales, les regards ou les gestes par exemple. Nous avons proposé un modèle permettant à un agent de produire différents comportements non-verbaux traduisant l'expression d'attitudes sociales dans une conversation. L'ensemble des comportements générés par notre modèle permettent à un groupe d'agents animés par celui-ci de simuler une conversation, sans tenir compte du contenu verbal. Deux évaluations du modèle ont été conduites, l'une sur Internet et l'autre dans un environnement de réalité virtuelle, afin de vérifier que les attitudes étaient bien reconnues
Embodied Conversational Agents are virtual characters which main purpose is to interact with a human user. They are used in various domains such as personal assistance, social training or video games for instance. In order to improve their capabilities, it is possible to give them the ability to produce human-like behaviors. The users, even if they are aware that they interact with a machine, are still capable of analyzing and identifying social behaviors through the signals produced by these virtual characters. The research in Embodied Conversational Agents has focused for a long time on the reproduction and recognition of emotions by virtual characters and now the focus is on the ability to express different social attitudes. These attitudes show a behavioral style and are expressed through different modalities of the body, like the facial expressions, the gestures or the gazes for instance. We proposed a model that allows an agent to produce different nonverbal behaviors expressing different social attitudes in a conversation. The whole set of behaviors produced by our model allows a goup of agents animated by it to simulate a conversation, without any verbal content. Two evaluations of the model were conducted, one on the Internet and one in a Virtual Reality environment, to verify that the attitudes produced are well recognized

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Thunberg, Johan. "Consensus and Pursuit-Evasion in Nonlinear Multi-Agent Systems." Doctoral thesis, KTH, Optimeringslära och systemteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143658.

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Анотація:

Within the field of multi-agent systems theory, we study the problems of consensus and pursuit-evasion. In our study of the consensus problem, we first provide some theoretical results and then consider the problem of consensus on SO(3) or attitude synchronization. In Chapter 2, for agents with states in R^m, we present two theorems along the lines of Lyapunov’s second method that, under different conditions, guarantee asymptotic state consensus in multi-agent systems where the interconnection topologies are switching. The first theorem is formulated by using the states of the agents in the multi-agent system, whereas the second theorem is formulated by using the pairwise states for pairs of agents in the multi-agent system. In Chapter 3, the problem of consensus on SO(3) for a multi-agent system with directed and switching interconnection topologies is addressed. We provide two different types of kinematic control laws for a broad class of local representations of SO(3). The first control law consists of a weighted sum of pairwise differences between positions of neighboring agents, expressed as coordinates in a local representation. The structure of the control law is well known in the consensus community for being used in systems of agents in the Euclidean space, and here we show that the same type of control law can be used in the context of consensus on SO(3). In a later part of this chapter, based on the kinematic control laws, we introduce torque control laws for a system of rigid bodies in space and show that the system reaches consensus when these control laws are used. Chapter 4 addresses the problem of consensus on SO(3) for networks of uncalibrated cameras. Under the assumption that each agent uses a camera in order to measure its rotation, we prove convergence to the consensus set for two types of kinematic control laws, where only conjugate rotation matrices are available for the agents. In these conjugate rotations, the rotation matrix can be seen as distorted by the (unknown) intrinsic parameters of the camera. For the conjugate rotations we introduce distorted versions of well known local parameterizations of SO(3) and show consensus by using control laws that are similar to the ones in Chapter 3, with the difference that the distorted local representations are used instead. In Chapter 5, we study the output consensus problem for homogeneous systems of agents with linear continuous time-invariant dynamics. We derive control laws that solve the problem, while minimizing a cost functional of the control signal. Instead of considering a fixed communication topology for the system, we derive the optimal control law without any restrictions on the topology. We show that for all linear output controllable homogeneous systems, the optimal control law uses only relative information but requires the connectivity graph to be complete and in general requires measurements of the state errors. We identify cases where the optimal control law is only based on output errors. In Chapter 6, we address the multi-pursuer version of the visibility pursuit-evasion problem in polygonal environments. By discretizing the problem and applying a Mixed Integer Linear Programming (MILP) framework, we are able to address problems requiring so called recontamination and also impose additional constraints, such as connectivity between the pursuers. The proposed MILP formulation is less conservative than solutions based on graph discretizations of the environment, but still somewhat more conservative than the original underlying problem. It is well known that MILPs, as well as multi-pursuer pursuit-evasion problems, are NP-hard. Therefore we apply an iterative Receding Horizon Control (RHC) scheme, where a number of smaller MILPs are solved over shorter planning horizons. The proposed approach is illustrated by a number of solved examples.

QC 20140327

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Dermouche, Soumia. "Leveraging the dynamics of non-verbal behaviors : modeling social attitude and engagement in human-agent interaction." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS271.pdf.

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Анотація:

Dans le contexte de l'interaction humain-agent, notre objectif était d'améliorer la qualité de l'interaction en: (1) dotant l'agent de la capacité d'exprimer des attitudes sociales telles que la dominance ou l'amicalité ce qui renforcent ses compétences sociales; (2) adaptant le comportement de l'agent selon le comportement de l'utilisateur, par conséquent l'agent et l'utilisateur s'influencent mutuellement par le biais d'une boucle interactive; (3) prédisant le niveau d'engagement de l'utilisateur et adaptant en conséquence le comportement de l'agent, ce qui contribue à maintenir l'intérêt et la motivation de l'utilisateur. Nous nous basons sur les progrès récents dans le domaine de l'apprentissage automatique, plus particulièrement de l'extraction de séquences temporelles et des réseaux de neurones. Le premier est utilisé pour apprendre des séquences pertinentes de signaux non-verbaux qui représentent au mieux les variations d'attitude, puis les reproduire par l'agent. Le seconde est utilisé pour englober la dynamique des signaux non verbaux. Deux cas d'utilisation ont été explorés à l'aide du modèle LSTM : l'adaptation du comportement de l'agent en fonction de l’historique de comportement de l'agent et de l'utilisateur; et la prédiction de l'engagement de l'utilisateur basée sur son propre historique de comportement. La pertinence des modèles et des algorithmes implémentés a été validée au moyen de nombreuses études approfondies et d'une évaluation quantitative rigoureuse des résultats obtenus. De plus, les travaux réalisés ont été intégrés dans une plateforme d'agents virtuels
Social interaction implies exchange between two or more persons, where they adapt their behaviors to each others. With the growing interest in human-agent interactions, it is desirable to make these interactions natural and human like. In this context, we aimed at enhancing the quality of the interaction between users and Embodied Conversational Agents ECAs by (1) endowing the ECA with the capacity to express social attitudes, such as being friendly or dominant depending its role or relationship with its interaction partners; (2) adapting the agent's behavior according to the user's behavior, hence, the conversation partners influence each others through an interaction loop, thus, enhancing the interaction quality; (3) predicting the user's engagement level and adapting the agent's behavior accordingly. We take advantage of the recent advances in machine learning, more specifically, temporal sequence mining and neural networks to model these capacities in the ECA. The first model is used to learn relevant patterns (sequences) of non-verbal signals that best represent attitude variations, and then reproduce them on the agent. The latter is used to encompass the dynamics of non-verbal signals. Two use cases have been explored using the well-known LSTM model: agent's behavior adaptation based on both agent's and user's behavior history, and user's engagement prediction based on his/her own behavior history. The implemented models and algorithms have been validated through a number of perceptive studies as well as through rigorous quantitative analysis of the obtained results. In addition, the realized models have been integrated into a virtual-agent platform

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Brousmiche, Kei-Léo. "Modélisation et simulation multi-agent de la formation et de la dynamique d’attitudes basées sur les croyances." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066623/document.

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Анотація:

Nous étudions dans cette thèse la formation et la dynamique des attitudes sociales à l'aide de la simulation multi agent. L'attitude peut se définir comme une évaluation globale d'un objet social sur la base d'informations cognitives ou affectives. Nos travaux s'inscrivent dans le cadre de la simulation sociale qui tente de reproduire informatiquement des phénomènes sociaux complexes à une échelle macroscopique, sur la base de la représentation des individus et de leurs interactions au niveau microscopique. Tandis que les approches existantes dans cette discipline font généralement abstraction des travaux en sciences humaines sur le sujet de l'attitude, nous proposons de suivre une approche psychomimétique en micro-fondant le modèle cognitif de nos agents sur des théories issues de psychologie sociale et des sciences cognitives. Ainsi, nous proposons un modèle de dynamique d'attitude combinant des théories issues de travaux en sciences humaines et sociales de la perception des individus, la communication inter-personnelle et médiatique, la révision de croyances, la réponse émotionnelle ainsi que le sentiment de surprise. Ce modèle a pour objectif de reproduire au niveau microscopique la dynamique des attitudes vis-à-vis d'acteurs qui effectuent des actions observées par la population. Nous avons procédé à une analyse fonctionnelle des différents composants du modèle sur des scénarii abstraits afin d'étudier les capacités de notre modèle, en particulier les phénomènes descriptibles tels que la diffusion de l'information, la résistance à la désinformation ou le processus de conformité. Le modèle a été appliqué dans le contexte des opérations militaires françaises de stabilisation en Afghanistan. L'objectif de cette expérience consiste à reproduire les sondages d'opinions vis-à-vis des Forces en présence, récoltés durant l'intervention, à partir d'un scénario militaire qui a été reconstitué en partenariat avec les officiers en charge des opérations de 2011 à 2012. Les résultats de simulations qui suivent un processus de calibration du modèle affichent une erreur inférieure à 3 points d'écart par rapport aux données réelles. Enfin, nous proposons une analyse microscopique des résultats en appliquant des techniques de classifications automatiques sur les individus afin d'expliquer les différentes tendances d'attitudes au sein de la population
We study in this thesis the problem of social attitude formation and dynamics using multi agent simulation. The concept of attitude could be defined as a global evaluation of a social object, based on cognitive or affective information. Our works belongs to the field of social simulation which aims to reproduce in a virtual environment complex social phenomenon at a macroscopic level based on microscopic representations of individuals and their interactions. While existing approaches in this field rarely consider the results of studies in human sciences on the topic of attitude, we propose to follow a psychomimtic approach by micro-founding the cognitive model of our agents on human and social sciences' theories on individual's perception, inter-personal and media communication, belief revision, affective responses and the sentiment of unexpectedness. This model aims to reproduce at a microscopic level attitude dynamics toward actors who perpetuate actions witnessed by the individuals. We have proceeded to a functional analysis of the model's various components based on abstracts scenarios in order to study the capabilities of our model, and more precisely the describable phenomenon such as information diffusion, resistance to disinformation or the conformity process. The model has been applied in the context of French military operations of stabilisation in Afghanistan. The goal of this experience consists in reproducing opinion polls results of the locals toward the present Forces, collected during the intervention, based on a military scenario which has been recreated in partnership with officers who were in charge of operations between 2011 and 2012. Simulation results that follow a model calibration process show an error below 3 points of disparity compared to the real data. Finally, we propose a microscopic analysis of the results by applying automatic classification techniques on the simulated individuals in order to explain the multiple attitudes tendencies in the population

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Pecune, Florian. "Modélisation de la prise de décision d'un agent conversationnel animé en fonction de son attitude sociale." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0054.

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Анотація:

Afin d’être considérés comme des partenaires crédibles lors d’une interaction, les agents virtuels doivent transmettre une attitude sociale adéquate. Cette attitude sociale exprimée par l’agent doit refléter la situation dans laquelle il se trouve. L’agent doit donc prendre en compte son rôle et sa relation sociale vis à vis de son interlocuteur lorsqu’il choisit comment réagir au cours de l’interaction. Afin de construire un tel agent capable de raisonner en fonction de son rôle et de sa relation, et capable d’adapter son attitude sociale, nous avons construit un modèle de prise de décision sociale. Dans un premier temps, nous formalisons la dynamique de la relation sociale à travers une combinaison de buts et de croyances. Puis, nous définissons un modèle de prise de décision basé sur les buts sociaux et situationnels de l’agent. Pour finir, nous avons réalisé une étude perceptive dans un contexte d’interaction tuteur/enfant virtuels au cours de laquelle les participants évaluaient l’attitude sociale du tuteur envers l’enfant. La relation sociale et le rôle social du tuteur étaient manipulés par notre modèle. Les résultats montrent qu’à la fois le rôle et la relation du tuteur ont une influence sur son attitude sociale perçue
To be perceived as believable partners in human-machine interactions, virtual agents have to express adequate social attitudes. The social attitude expressed by an agent should reflect the social situation of the interaction. The agent ought to take into account its role and its social relation toward its interactants when deciding how to react in the interaction. To build such an agent able to reason about its role and relation and to adapt its social attitude, we built a model of social decision making. First, we formalized the dynamics of the social relation through a combination of goals and beliefs. Then, we designed a decision making model based on the social goals and the situational goals of the agent. Finally, we conducted an empirical study in the context of virtual tutor-child interaction where participants evaluated the tutor’s perceived social attitude towards the child while the tutor’s social role and relation were manipulated by our model. Results showed that both role and social relation have an influence on the agent’s perceived social attitude

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Davis, Jacob Foster. "Application of a Genetic Algorithm and Multi Agent System to explore emergent patterns of social rationality and a distress-based model for deceit in the workplace." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483642.

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Анотація:

Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 2008.
Thesis Advisor(s): Hiles, John ; Iatrou, Steven. "June 2008." Description based on title screen as viewed on August 25, 2008. Includes bibliographical references (p. 103-104). Also available in print.

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Michieletto, Giulia. "Multi-Agent Systems in Smart Environments - from sensor networks to aerial platform formations." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3427273.

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In the last twenty years, the advancements in pervasive computing and ambient intelligence have lead to a fast development of smart environments, where various cyber-physical systems are required to interact for the purpose of improving human life. The effectiveness of a smart environment rests thus upon the cooperation of multiple entities under the constraints of real-time high-level performance. In this perspective the role of multi-agent systems is evident due to capability of these architectures involving large sets of interactive devices to solve complex tasks by exploiting local computation and communication. Although all the multi-agent systems arise for scalability, robustness and autonomicity, these networked architectures can be distinguished according to the characteristics of the composing elements. In this thesis, three kinds of multi-agent systems are taken into account and for each of them innovative distributed solutions are proposed to solve typical issues related to smart environments. Wireless Sensor Networks - The first part of the thesis is focused on the development of effective clustering strategies for wireless sensor network deployed in industrial envi- ronment. Accounting for both data clustering and network decomposition, a centralized and a distributed algorithms are proposed for grouping nodes into local non-overlapping clusters in order to enhance the network self-organization capabilities. Multi-Camera Systems - The second part of the thesis deals with the surveillance task for networks of interoperating smart visual sensors. First, the attitude estimation step is handled facing the determination of the orientation of each device in the group with respect to a global inertial frame. Afterwards, the perimeter patrolling problem is addressed, within the border of a certain area is required to be repeatedly monitored by a set of planar cameras. Both issues are recast in the distributed optimization framework and solved through the iterative minimization of a suitable cost function. Aerial Platform Formations - The third part of the thesis is devoted to the autonomous aerial platforms. Focusing on a single vehicle, two desirable properties are investigated, namely the possibility to independently control the position and the attitude and the robustness to the loss of a motor. Two non-linear controllers are then designed to maintain a platform in static hovering keeping constant reference position with constant attitude. Finally, the interest is moved to swarms of aerial platforms aiming at both stabilizing a given formation and steering it along pre-definite directions. For this purpose, the bearing rigidity theory is studied for frameworks embedded in the three-dimensional Special Euclidean space. The thesis thus evolves from fixed to fully actuated multi-agent systems accounting for smart environments applications dealing with an increasing number of DoFs.
Nell’ultimo ventennio, i progressi nel campo della computazione pervasiva e dell’intelligenza ambientale hanno portato ad un rapido sviluppo di ambienti smart, dove più sistemi cyber-fisici sono chiamati ad interagire al fine di migliorare la vita umana. L’efficacia di un ambiente smart si basa pertanto sulla collaborazione di diverse entità vincolate a fornire prestazioni di alto livello in tempo reale. In quest’ottica, il ruolo dei sistemi multi-agente è evidente grazie alla capacità di queste architetture, che coinvolgono gruppi di dispositivi capaci di interagire tra loro, di risolvere compiti complessi sfruttando calcoli e comunicazioni locali. Sebbene tutti i sistemi multi-agenti si caratterizzino per scalabilità, robustezza e autonomia, queste architetture possono essere distinte in base alle proprietà degli elementi che le compongono. In questa tesi si considerano tre tipi di sistemi multi-agenti e per ciascuno di questi sono proposte soluzioni distribuite e innovative volte a risolvere problemi tipici per gli ambienti smart. Reti di Sensori Wireless - La prima parte della tesi è incentrata sullo sviluppo di efficaci strategie di clustering per le reti di sensori wireless impiegate in ambito industriale. Tenendo conto sia dei dati acquisiti che della topologia di rete, sono proposti due algoritmi (uno centralizzato e uno distribuito) volti a raggruppare i nodi in clusters locali non sovrapposti per migliorare le capacità di auto-organizzazione del sistema. Sistemi Multi-Camera - La seconda parte della tesi affronta il problema di videosorveglianza nel contesto di reti di sensori visivi intelligenti. In primo luogo, è considerata la stima di assetto che prevede la ricostruzione dell’orientamento di ogni agente appartenente al sistema rispetto ad un sistema globale inerziale. In seguito, è affrontato il problema di pattugliamento perimetrale, secondo il quale i confini di una certa area devono essere ripetutamente monitorati da un insieme di videocamere. Entrambe le problematiche sono trattate nell’ambito dell’ottimizzazione distribuita e risolte attraverso la minimizzazione iterativa di un’adeguata funzione costo. Formazioni di Piattaforme Aeree - La terza parte della tesi è dedicata alle piattaforme aeree autonome. Concentrandosi sul singolo veicolo, sono valutate due proprietà, ovvero la capacità di controllare indipendentemente la posizione e l’assetto e la robustezza rispetto alla perdita di un motore. Sono quindi descritti due controllori non lineari che mirano a mantenere una data piattaforma in hovering statico in posizione fissa con orien- tamento costante. Infine, l’attenzione è volta agli stormi di piattaforme aeree, studiando sia la stabilizzazione di una determinata formazione che il controllo del movimento lungo direzioni prefissate. A tal fine viene studiata la teoria della bearing rigidità per i sistemi che evolvono nello spazio speciale euclideo tri-dimensionale. La tesi evolve dunque dallo studio di sistemi multi-agenti fissi a totalmente attuati usati in applicazioni per ambienti smart in cui il numero di gradi di libertà da gestire è incrementale.

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Huerta, Jose Manuel. "Attitudes of county Extension agents toward agent specialization in Ohio /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846354481973.

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Huerta, Jose M. "Attitudes of county extension agents toward agent specialization in Ohio." Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1202155098.

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Chapuis, Kevin. "Happywork : modélisation multi-agents de la satisfaction au travail." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066152/document.

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Nous étudions dans cette thèse l'élaboration subjective de la satisfaction et l'impact de l'organisation du travail sur celle-ci. Nous traitons successivement le problème de la modélisation des processus psychologiques de la satisfaction, définie comme une attitude au travail, et celui de la modélisation de l'impact de l'organisation sur l'activité de travail. Nous nous inscrivons dans une démarche de modélisation sociale inédite dans l'étude de la satisfaction au travail: nous nous proposons de partir des théories et modèles en psychologie du travail et économie du bonheur pour représenter dans un modèle multi-agents les processus cognitifs qui amènent les individus à évaluer leur travail comme satisfaisant ou insatisfaisant. L'objectif est de fournir un modèle crédible de satisfaction qui permet de mieux comprendre l'impact de l'organisation du travail sur la satisfaction de ses employés. Pour ce faire nous avons confronté notre modèle à un scénario idéal de politique d'amélioration des conditions de travail initialisées sur des données réelles. Cette analyse a révélé que l'amélioration des conditions de travail ne conduit pas systématiquement à l'augmentation de la satisfaction: les profils cognitifs, qui représentent les manières typiques d'évaluer son attitude au travail, ont un impact considérable sur les conséquences de la politique. Dans un second temps nous avons appliqué notre modèle à un scénario d'évolution des conditions de travail représentant des données de panel. Nous avons été capables de reproduire en simulation les niveaux de satisfaction déclarée des individus à 9 et 7 mois d'intervalle. Par ailleurs, afin de proposer une représentation plus réaliste des scénarii de changement des conditions de travail, nous avons également développé un modèle d'activité en organisation. Nous avons d'abord analysé l'impact de diverses organisations du travail sur les performances des organisations, puis nous avons conduit une analyse de l'impact de l'activité en organisation sur la formation d'épisodes d'épuisement professionnel. Cette dernière étude a permis de faire apparaître l'importance de l'activité de travail sur le vécu des travailleurs; l'objectif étant de proposer à terme un modèle couplé d'activité et de satisfaction au travail
We study in this thesis the subjective formation of job satisfaction and the impact of organization on employees satisfaction. First, we work on the modeling of psychological process of job satisfaction, defined as an attitude at work. Then, we propose a model to study the impact of work organization on work activity. Our research aims to study job satisfaction using an innovative methodological and theoretical approach in the domain of social simulation: based on major theories in the fields of organizational psychology and economy of well-being, our goal is to produce an agent-based model of the cognitive aspects of job satisfaction. Our purpose is to provide a theoretically as well as empirically grounded model of job satisfaction that fosters the understanding of organizational impact on employees' satisfaction. To do so, we tested our model on an ideal scenario of work conditions improvement policy. The results revealed that this policy do not systematically causes a global improvement on job satisfaction: agent's cognitive profil, that is a typical way to evaluate job satisfaction, have a great impact on policy outcomes. Next, we tested our model using a scenario based on a panel survey of work conditions conducted in a big french organization during 2013/14. We were able to reproduce declared individual levels of job satisfaction. Furthemore, in order to provide a more realistic representation of work improvement policy, we have also developed a work activity model. Firstly, we analyzed the impact of various work organizations on organizational performance, then we conducted an analysis of the impact of work activity on the formation of burnout episodes. This last study helped us to bring up the importance of work activity and organization on employees' well-being; the aim being eventually to propose a coupled model of work activity and job satisfaction

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Larivière, Michel A. S. Attitudes des agents de correction fédéraux à l'égard des délinquants. [Ottawa]: Correctional Service Canada, Correctional Research and Development, 1996.

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Garicano, Luis. Favoritism under social pressure. Cambridge, MA: National Bureau of Economic Research, 2001.

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Christiana, Coggins, ed. A study of women's preferences regarding the formulation of over-the-counter vaginal spermicides. New York, NY (One Dag Hammarsjold Plaza, New York 10017 USA): Population Council, Robert H. Ebert Program on Critical Issues in Reproductive Health, 1998.

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David, Giauque, ed. Motivations et valeurs des agents publics à l'épreuve des réformes. [Québec]: Presses de l'Université Laval, 2012.

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M, Farr Robert, and Marková Ivana, eds. Representations of health, illness and handicap. Chur, Switzerland: Harwood Academic Publishers, 1995.

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Vellakkal, Sukumar. Adverse selection and private health insurance coverage in India: A rational behaviour model of insurance agents under asymmetric information. New Delhi: Indian Council for Research on International Economic Relations, 2009.

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1944-, McInerney Peter, ed. From silent witnesses to active agents: Student voice in re-engaging with learning. New York: P. Lang, 2012.

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Ravenet, Brian, Angelo Cafaro, Magalie Ochs, and Catherine Pelachaud. "Interpersonal Attitude of a Speaking Agent in Simulated Group Conversations." In Intelligent Virtual Agents, 345–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09767-1_45.

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Chen, Shiuann-Shuoh, Yu-Wei Chuang, and Pei-Yi Chen. "The Effects of Knowledge Management System Quality and Self-efficacy on Intention to Knowledge Sharing: The Mediate Role of Attitude." In Agent and Multi-Agent Systems: Technologies and Applications, 640–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22000-5_66.

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Yue, Dong, Huaipin Zhang, and Shengxuan Weng. "Distributed Robust Attitude Containment Control for Multiple Rigid Body Sysems." In Distributed Cooperative Control and Communication for Multi-agent Systems, 127–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_7.

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Yue, Dong, Huaipin Zhang, and Shengxuan Weng. "Distributed Event-Triggered Attitude Cooperative Control of Multiple Rigid Body Systems." In Distributed Cooperative Control and Communication for Multi-agent Systems, 109–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_6.

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van Linder, B., W. van der Hoek, and J. J. Ch Meyer. "Formalising motivational attitudes of agents." In Intelligent Agents II Agent Theories, Architectures, and Languages, 17–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3540608052_56.

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Cristani, Matteo, and Elisa Burato. "Modelling Social Attitudes of Agents." In Agent and Multi-Agent Systems: Technologies and Applications, 63–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72830-6_7.

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Boella, Guido, Rossana Damiano, Joris Hulstijn, and Leendert van der Torre. "ACL Semantics Between Social Commitments and Mental Attitudes." In Agent Communication II, 30–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-68143-4_3.

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Errico, Bruno. "Agents’ Dynamic Mental Attitudes." In Formal Models of Agents, 157–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46581-2_11.

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Davis, Kristin E., Lindie von Maltitz, Melanie de Bruyn, Johan van Niekerk, and Tsakani Ngomane, eds. South African extension agent competencies and attitudes for the future: Results of a survey. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134855.

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Cavill, Sue, Chelsea Huggett, and Jose Mott. Engaging Men and Boys for Gender-Transformative WASH: Part 2, Frontiers of Sanitation. The Sanitation Learning Hub, Institute of Development Studies, July 2022. http://dx.doi.org/10.19088/slh.2022.004.

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This issue of Frontiers of Sanitation explores the extent to which engaging men and boys in WASH processes is leading to transformative change in gender roles, attitudes, and sustainable change in reducing gender inequalities across households, communities, organisations, and policy. This document is an update to Frontiers Part 1 produced in 2018. In Part 1, the differing roles of men and boys were reviewed in terms of objects to change (i.e. to change sanitation or hygiene behaviours), agents of change (in promoting improved practices), and partners for change in gender-transformative WASH processes. This update reviews progress and provides practical examples of the opportunities and challenges with this endeavour. It also includes recommendations for those thinking about why and how to include engaging men and boys as part of their WASH programmes.

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van Wagenberg, Coen, Diti Oudendag, Youri Dijkxhoorn, Christine Plaisier, Jim Groot, and Melanie Kok. How do trust, social norms and risk attitudes influence sustained adoption of interventions to reduce post-harvest losses?: application of an Agent-Based Model to the tomato value chain in Nigeria. Wageningen: Wageningen Economic Research, 2019. http://dx.doi.org/10.18174/477626.

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