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Academic literature on the topic 'Agency'

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Published: 4 June 2021
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Journal articles on the topic "Agency"

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Oliver, Pamela E. "Black Agency, White Agency." Contemporary Sociology: A Journal of Reviews 45, no. 5 (September 2016): 543–46. http://dx.doi.org/10.1177/0094306116664522.

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MASSA, RUBENS MUSSOLIN, RAUL BEAL PARTYKA, and JEFERSON LANA. "Pesquisa e teoria da agência comportamental: uma revisão e agenda de pesquisa." Cadernos EBAPE.BR 18, no. 2 (June 2020): 220–36. http://dx.doi.org/10.1590/1679-395177017.

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Abstract The behavioral agency theory verifies the relationship between company executives, CEOs, and managers, and their decision-making within the firm. The mechanisms of governance and the forms of remuneration are instruments that monitor internal members avoiding risks that potentially harm the organization’s valuation. This article highlights the importance of the behavioral agency theory both for firms that trust their decision-making process to an agent and for the behavior of this agent. Both aspects are subject to concerns that usually lead to recommendations to establish or improve the executives’ compensation plans. Through bibliometric research analyzing 107 articles, it was possible to verify that executives’ performance compensation, according to agency theory, is the most used mechanism to stimulate executives to make decisions toward the company’s growth and best performance. This study’s theoretical and empirical contribution point to the need for future research on this topic since understanding the agent’s behavior is strategic for companies to help the agent to act on its benefit while reducing the possibilities of inadequate and harmful behavior.
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Steward, Helen. "Agency Incompatibilism and Divine Agency." European Journal for Philosophy of Religion 7, no. 3 (September 23, 2015): 67–78. http://dx.doi.org/10.24204/ejpr.v7i3.105.

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In this paper, I consider whether an argument for compatibilism about free will and determinism might be developed from the thought that God’s agency seems consistent with the rational determination of at least some divine actions by the True and the Good. I attempt to develop such an argument and then consider how to respond to it from the point of view of my own position, which I call Agency Incompatibilism. I argue that a crucial premise in the argument is ambiguous and offer responses to the argument on behalf of the Agency Incompatibilist, on each of the two disambiguations.
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Herr, Ranjoo Seodu. "Agency without autonomy: valuational agency." Journal of Global Ethics 6, no. 3 (December 2010): 239–54. http://dx.doi.org/10.1080/17449626.2010.524797.

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Hacker, Hanna. "agency@?" Figurationen 8, no. 2 (July 2007): 122–24. http://dx.doi.org/10.7788/figurationen.2007.8.2.122.

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Simester, A. P. "Agency." Law and Philosophy 15, no. 2 (1996): 159. http://dx.doi.org/10.2307/3504828.

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Kockelman, Paul. "Agency." Current Anthropology 48, no. 3 (June 2007): 375–401. http://dx.doi.org/10.1086/512998.

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Wise, M. Norton. "Agency." Isis 107, no. 4 (December 2016): 781–84. http://dx.doi.org/10.1086/689765.

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Miller, Margaret A. "Agency." Change: The Magazine of Higher Learning 42, no. 1 (January 2010): 4–5. http://dx.doi.org/10.1080/00091380903479323.

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Ahearn, Laura M. "Agency." Journal of Linguistic Anthropology 9, no. 1-2 (June 1999): 12–15. http://dx.doi.org/10.1525/jlin.1999.9.1-2.12.

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Dissertations / Theses on the topic "Agency"

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d'Inverno, Mark. "Agents, agency and autonomy : a formal computational model." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.586863.

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In recent years, there has been an explosion of interest in agents and multi-agent systems in a variety of areas including artificial intelligence, and software engineering. Agent technology, however, is still relatively young, and there is much debate and discussion over many important concepts and the relevant terminology. In particular, in a great deal of agent research, agents themselves are defined in wildly different ways, if at all, and this makes it extremely difficult to be explicit about their nature and functionality. These problems have arisen in part due to the lack of a common structure and language for describing and reasoning about both single agents and multi-agent systems, which might facilitate a rigorous organisation of the field. In response to this, a four-tiered theoretical formal framework for agent systems is proposed, which we use as a base from which to develop a detailed model of agents and their dimensions, the properties required by agents for effective operation, and the social organisation of multi-agent systems. This framework essentially comprises entities, objects, agents and autonomous agents, and specifies the relationships between them to provide a rigorous and detailed analysis of the structures underlying all such systems. Key to the understanding of this work is our overarching concern as computer scientists, of building computational systems. The development of formal theories and systems as proposed above is inadequate if they are irrelevant to the needs of practitioners. While the construction of any theory or model is unavoidably somewhat removed from the realities of software development, we address this concern by ensuring that the tools used are standard software engineering ones that are accessible and support practical development. In illustration of these ideas, and as a demonstration of the validity of the arguments made, we show how the framework and models developed can both provide a theoretical foundation and be applied directly to existing agent systems and theories: in particular, the Contract Net Protocol, AgentS- peak(L) and Social Dependence Networks.
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Campbell, Peter G. "Rational agency." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28592.

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It is claimed that action discourse provides us with a criterion of adequacy for a theory of action; that with action discourse we have a family of concepts which a theory of action must accommodate. After an exegesis of Davidson's essay "Agency", it is argued that his semantics of action is incompatible with our concepts of motivation and responsibility for action and of attributions of action and agency, and must, therefore, be rejected. A theory of rational agency is presented within which are to be found accounts of intention, coming to intend, intentional action, and an alternative semantics of action which connects the action essentially to agency. The theory of rational agency is then used to illuminate the concepts of trying, compulsion, autonomy and involuntariness, mistake, accident, and the so-called active-passive distinction.
Arts, Faculty of
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Pulman, C. G. "Manifest agency." Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542274.

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Gibb, Alexander James. "Peer agency." Thesis, University of Birmingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423623.

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Santos, Elder Rizzon. "Creative agency." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/28359.

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A presente tese de doutorado descreve uma pesquisa interdisciplinar nas áreas de criatividade computacional e agentes cognitivos. A motivação para a integração dessas áreas é o estudo da habilidade humana de utilizar suas experiências prévias e conhecimento geral para resolver problemas e lidar com situações a partir do momento em que as mesmas são apresentadas. Imbuídos dessa motivação, nosso propósito é ampliar a utilização do conhecimento de agentes, inspirado na forma como, nós, humanos entendemos e vivenciamos o mundo. Nossa abordagem para concretizar essa visão de pesquisa é adotar teorias e resultados das ciências cognitivas e neurociências como fundamentação para um modelo computacional de agentes capazes de atuar criativamente. Assim sendo, adotamos a teoria do concept blending (fusão conceitual – tradução do autor) (FAUCONNIER; TURNER, 1998), advinda da lingüística cognitiva e teoria da mente como a fundação de nosso modelo. O modelo de agentes criativos proposto integra uma implementação da fusão conceitual em uma estrutura BDI. Concretamente, utilizamos a implementação da linguagem AgentSpeak fornecida pelo framework Jason, para manipular o raciocínio teórico (crenças) e prático (desejos, planos e intenções) do agente. Logo, o objeto principal de estudo desta tese é a utilização da fusão conceitual em uma estrutura de agentes inteligentes visando contribuições em criatividade computacional e agentes. Considerando a área da criatividade computacional, especificamos um modelo da fusão conceitual que define explicitamente as regras necessárias para representar uma tipologia da fusão. Ademais, a integração de uma estrutura de agentes BDI ao modelo possibilita a construção automatizada das entradas e de informações de domínio para utilizar o processo de fusão. Focando na área de agentes, nossa contribuição é caracterizada pela aplicação do processo de raciocínio criativo para fornecer alternativas de uso do conhecimento prático e teórico. Dada a especificação da fusão aqui apresentada, é possível integrar diferentes estratégias de adaptação para lidar com a falha de intenções ou outras situações que requerem adaptação. Outra funcionalidade é a capacidade de utilizar diferentes representações de conhecimento, assumindo a disponibilidade de uma definição descritiva (na linguagem OWL) da representação. O modelo de fusão conceitual também é aplicado na modelagem do raciocínio de um sistema de recomendação educacional. Finalmente, nosso modelo de fusão representa um trabalho inicial em direção a um modelo cognitivo no qual fusão, agência e outras funções cognitivas (e.g. aprendizagem) interagem para simular diferentes funcionalidades do pensamento humano.
This PhD thesis describes an interdisciplinary research on computational creativity and cognitive agents. Our motivation to integrate these two areas is to study the human skill that uses previous experiences and knowledge to solve unpredicted problems and situations. Imbued by that motivation, our purpose is to improve the applicability of the agent’s knowledge, inspired in the way that we humans understand and experience the world. Our approach towards that research view is to adopt theories and results from cognitive and neural sciences as the grounding to a computational model of agents capable of acting creatively. Thus, we adopt the concept blending theory (FAUCONNIER; TURNER, 1998) – that originated from cognitive linguistics and theory of the mind – as the grounding of our model. Therefore, our proposal of creative agents integrates an implementation of concept blending into a BDI structure. In concrete terms, we use Jason’s implementation of AgentSpeak to manipulate the agent’s theoretical (beliefs) and practical (desires and intentions) reasoning. Hence, the main topic of study of this research is the utilization of concept blending in a structure of intelligent agents. Consequently, we observe our contributions under two perspectives. Regarding computational creativity, we specify a model for concept blending that explicitly defines rules to represent a blending typology. Furthermore, integrating a BDI structure to the model allows the automated construction of inputs and domain information to feed the blending process. Focusing on agents, our contribution is on the process of creative reasoning applied to supply alternative ways to use practical and theoretical knowledge. Given the blending specification defined here, it is possible to integrate different adaptation strategies to handle intention failure or other adaptation scenarios. Another feature is the possibility to work with different knowledge representations given its descriptive logics (using the OWL language) definition. The blending specification is also applied to model the reasoning of an educational recommender system. Finally, the defined model represents an initial work towards a cognition model where blending, agency and other cognitive operations (e.g. learning) interact together to simulate different features of the human thinking.
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Evans, Zack. "Intentional agency." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/88724/.

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There are two central arguments in this project. The first is a kind of ‘second-order’ argument, that is, an argument about the dialectical situation of an existing argument (namely, about the ‘free will problem’). The second is a straightforward argument about agency, but one which can be better addressed—I claim—once the second-order argument has been made. The ‘free will problem’ is widely claimed to be one of the perennial philosophical problems. But it is not one that has any widely accepted solution. The reason for this, as others have acknowledged, is due in large part to the wide range of problems that have historically been considered under the rubric of ‘the free will problem’. My proposal is straightforward: stop talking about ‘free will’ altogether! More precisely, my claim is that we could—in principle— eliminate the term. However, it may be more difficult in practise to actually cease using the term, and so my prescription is to define the term operationally, as a philosophers’ technical term. As I will go on to explain, ‘free will’ means something like: ‘whatever it is, if anything, in virtue of which people are appropriate subjects of moral responsibility’. The second argument then becomes apparent: setting aside the question of moral responsibility, we can see that there are a number of putative ‘free will’ issues that don’t go away. While most things can be sectioned off into the moral responsibility debate, as explained above, several of these issues actually turn out to depend on the concept of agency. This has not previously been recognised because of the structure of the ‘free will debate’, and especially because of its fixation on the notions of determinism and indeterminism. I then go on to sketch the outlines of a positive account of agency that can independently address those concerns which were previously thought to be about ‘free will’.
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Morton, Julien. "Against Agency." Thesis, University of Sussex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508971.

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Dias, St?phane Rodrigues. "Agency via dialogue : a pragmatic, dialogue-based approach to agents." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/6589.

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This work addresses human communicative agency. The competence to instantiate a set of communicative procedures is taken as a component of human rationality that meets a key role of regulating our cognitive environment (a set of mental states, centrally assumptions and emotions), in order to maximize practical goals and sociability. The linguistic-inferential approach offered here for such scope of rationality covers two levels: cognitive and practical, treated hierarchically, according to the assumed regulations. We consider that the cognitive apparatus (the inferential, representational and metarepresentational basis), along with the linguistic apparatus (computation plus interpretable expressions), allows us to operate from the most basic levels of linguistic processing to higher levels (where agents consider assumptions about other minds). In the practical domain, we consider that the linguistic and communicative behavior is used by agents to affect mental states and others? courses of action, thus being in the basis of our social cognition. In this scenario, we not only interact with agents, but we also create a social agency via language. We, therefore, consider a communicative agency framework in which acts are performed within a dialogical structure. The general thesis is that communication requires the use of skills that incorporate practical rationality parameters. This regulation would be dependent on a cognitive and practical structure of agency in which human cognition represents three types of agents: individuals, group members and groups (collectives or representatives). Each of these levels presents characteristic features of communicative agency. In all of them, however, there is the possibility of disagreement among agents, cognitive or practical, in dialogue situations. We illustrate this aspect with a scenario of conflict between agents that are supposed to reach a peace agreement. The illustrative analysis focuses on real negotiation dialogues between group members and representatives of the State of Israel and of Palestine. We observe how practical goals of agents of these types regulate their cognitive and dialogical goals. As a result, we present an alternative proposal to the standard scenario of negotiation, or conflict mediation. As a theoretical benefit, ad hoc pragmatic issues (relevance to the individual qua agent, conflicts between agents) are given prominence and effective treatment. As a practical benefit, the model can be applied to the area of conflict mediation, given the downsizing of a biosocial disposition: our cognitive states are particularly affected by stimuli from a class of agents (artists), with potential effect on individual and collective agencies.
Este trabalho tem como tema ag?ncia comunicativa humana. A compet?ncia para instanciar um conjunto de procedimentos comunicativos ? tomada como um componente da racionalidade humana que cumpre a fun??o central de regula??o de nosso ambiente cognitivo (um conjunto de estados mentais, destacadamente suposi??es e emo??es) tendo em vista maximizar metas pr?ticas e sociabilidade. A abordagem lingu?stico-inferencial desse escopo de racionalidade que oferecemos abarca dois n?veis: cognitivo e pr?tico, tratados hierarquicamente em fun??o das regula??es supostas. Primeiramente, consideramos que o aparato cognitivo (base inferencial, representacional e matarrepresentacional), junto com o aparato lingu?stico (computa??o mais express?es interpret?veis), nos permite operar do n?vel mais b?sico de processamento lingu?stico a n?veis mais altos (em que se consideram suposi??es sobre outras mentes). No dom?nio pr?tico, por sua vez, consideramos que o comportamento lingu?stico-comunicativo ? usado por agentes para agir sobre estados mentais e/ou cursos de a??o de outros, estando na base de nossa cogni??o social. Nesse dom?nio, n?o apenas interagimos com agentes como tamb?m criamos uma ag?ncia social via linguagem. Consideramos, assim, um quadro de ag?ncia comunicativa em que atos s?o performados dentro de uma estrutura dial?gica. A tese geral ? a de que a comunica??o exige o uso de habilidades que incorporam par?metros de racionalidade pr?tica. Essa regula??o estaria dependente de uma estrutura cognitiva e pr?tica de ag?ncia, segundo a qual a cogni??o humana representaria agentes de tr?s tipos: indiv?duos, membros de grupos (integrantes) e grupos (agentes coletivos ou representantes). Cada um desses n?veis apresenta tra?os de ag?ncia comunicativa caracter?sticos. Em todos eles, por?m, h? a possibilidade do desacordo, cognitivo ou pr?tico, em situa??es de di?logo. Ilustramos esse quadro com um cen?rio de conflito entre agentes que supostamente visam a chegar a um acordo de paz. A an?lise ilustrativa se foca em di?logos reais de negocia??o entre membros de grupos e representantes do Estado de Israel e da Palestina que est?o encarregados do processo de paz. Observamos como os objetivos pr?ticos de agentes desses tipos regulam seus objetivos cognitivos e dial?gicos. Como consequ?ncia, apresentamos uma proposta alternativa ao cen?rio padr?o de negocia??o, ou media??o de conflito. Como benef?cio te?rico, quest?es pragm?ticas ad hoc (relev?ncia para indiv?duo qua agente, conflitos entre agentes) recebem tratamento e destaque. Como benef?cio pr?tico, o modelo pode ser aplicado na ?rea de media??o de conflitos, dado o redimensionamento de uma disposi??o biossocial: nossos estados cognitivos s?o particularmente afetados por est?mulos de agentes de uma categoria (artistas), com potencial efeito sobre ag?ncias individuais e coletivas.
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Dias, Stéphane Rodrigues. "Agency via dialogue: a pragmatic, dialogue-based approach to agents." Pontifícia Universidade Católica do Rio Grande do Sul, 2016. http://hdl.handle.net/10923/8042.

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This work addresses human communicative agency. The competence to instantiate a set of communicative procedures is taken as a component of human rationality that meets a key role of regulating our cognitive environment (a set of mental states, centrally assumptions and emotions), in order to maximize practical goals and sociability. The linguistic-inferential approach offered here for such scope of rationality covers two levels: cognitive and practical, treated hierarchically, according to the assumed regulations. We consider that the cognitive apparatus (the inferential, representational and metarepresentational basis), along with the linguistic apparatus (computation plus interpretable expressions), allows us to operate from the most basic levels of linguistic processing to higher levels (where agents consider assumptions about other minds). In the practical domain, we consider that the linguistic and communicative behavior is used by agents to affect mental states and others’ courses of action, thus being in the basis of our social cognition. In this scenario, we not only interact with agents, but we also create a social agency via language. We, therefore, consider a communicative agency framework in which acts are performed within a dialogical structure. The general thesis is that communication requires the use of skills that incorporate practical rationality parameters. This regulation would be dependent on a cognitive and practical structure of agency in which human cognition represents three types of agents: individuals, group members and groups (collectives or representatives).Each of these levels presents characteristic features of communicative agency. In all of them, however, there is the possibility of disagreement among agents, cognitive or practical, in dialogue situations. We illustrate this aspect with a scenario of conflict between agents that are supposed to reach a peace agreement. The illustrative analysis focuses on real negotiation dialogues between group members and representatives of the State of Israel and of Palestine. We observe how practical goals of agents of these types regulate their cognitive and dialogical goals. As a result, we present an alternative proposal to the standard scenario of negotiation, or conflict mediation. As a theoretical benefit, ad hoc pragmatic issues (relevance to the individual qua agent, conflicts between agents) are given prominence and effective treatment. As a practical benefit, the model can be applied to the area of conflict mediation, given the downsizing of a biosocial disposition: our cognitive states are particularly affected by stimuli from a class of agents (artists), with potential effect on individual and collective agencies.
Este trabalho tem como tema agência comunicativa humana. A competência para instanciar um conjunto de procedimentos comunicativos é tomada como um componente da racionalidade humana que cumpre a função central de regulação de nosso ambiente cognitivo (um conjunto de estados mentais, destacadamente suposições e emoções) tendo em vista maximizar metas práticas e sociabilidade. A abordagem linguístico-inferencial desse escopo de racionalidade que oferecemos abarca dois níveis: cognitivo e prático, tratados hierarquicamente em função das regulações supostas. Primeiramente, consideramos que o aparato cognitivo (base inferencial, representacional e matarrepresentacional), junto com o aparato linguístico (computação mais expressões interpretáveis), nos permite operar do nível mais básico de processamento linguístico a níveis mais altos (em que se consideram suposições sobre outras mentes). No domínio prático, por sua vez, consideramos que o comportamento linguístico-comunicativo é usado por agentes para agir sobre estados mentais e/ou cursos de ação de outros, estando na base de nossa cognição social. Nesse domínio, não apenas interagimos com agentes como também criamos uma agência social via linguagem. Consideramos, assim, um quadro de agência comunicativa em que atos são performados dentro de uma estrutura dialógica. A tese geral é a de que a comunicação exige o uso de habilidades que incorporam parâmetros de racionalidade prática. Essa regulação estaria dependente de uma estrutura cognitiva e prática de agência, segundo a qual a cognição humana representaria agentes de três tipos: indivíduos, membros de grupos (integrantes) e grupos (agentes coletivos ou representantes).Cada um desses níveis apresenta traços de agência comunicativa característicos. Em todos eles, porém, há a possibilidade do desacordo, cognitivo ou prático, em situações de diálogo. Ilustramos esse quadro com um cenário de conflito entre agentes que supostamente visam a chegar a um acordo de paz. A análise ilustrativa se foca em diálogos reais de negociação entre membros de grupos e representantes do Estado de Israel e da Palestina que estão encarregados do processo de paz. Observamos como os objetivos práticos de agentes desses tipos regulam seus objetivos cognitivos e dialógicos. Como consequência, apresentamos uma proposta alternativa ao cenário padrão de negociação, ou mediação de conflito. Como benefício teórico, questões pragmáticas ad hoc (relevância para indivíduo qua agente, conflitos entre agentes) recebem tratamento e destaque. Como benefício prático, o modelo pode ser aplicado na área de mediação de conflitos, dado o redimensionamento de uma disposição biossocial: nossos estados cognitivos são particularmente afetados por estímulos de agentes de uma categoria (artistas), com potencial efeito sobre agências individuais e coletivas.
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Aguilar, Jesús H. "Agency and control." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82814.

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The main objective of this thesis is to defend an account of the control that agents possess over their actions from the perspective of the causal theory of action, that is, a theory that sees actions as events caused by internal states of their agents. The explanatory strategy that is employed for this purpose consists in addressing three interdependent and fundamental problems concerning the possibility of this type of control. The first problem arises from the possibility of controlling an action that is itself transitively caused by previous events. The answer given to this problem is grounded on a careful description of basic actions and on an identification of the internal states that function as the sources of control. The second problem emerges from a variety of causal deviance, namely, a conceptually possible scenario that satisfies the requirements for a bodily movement to be under the control of its agent without this movement being intuitively under the control of its agent. The answer given to this problem comes from the examination of the sources of the intuitions associated with causal deviance and from the recognition of the causal contribution of epistemic features present in the antecedents of an action. The third problem results from the possibility of producing an action that can only be partially controlled. This is problematic if one accepts that producing an action entails controlling it, as is suggested in this thesis. The reply given to this problem adapts an intention-based account of action guidance to the needs of an account of degrees of control, while remaining compatible with the proposal that producing an action is sufficient to control it.
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Books on the topic "Agency"

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Webb, Rick. Agency. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6.

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McNamara, Jay. Agency. Sebastian, Fla: Possibilities Press, 1995.

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Alex, Roney, ed. Appointing commercial agents in Europe: The essential facts. Chichester: Wiley, 1996.

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Campaign, ed. Choosing an agency: Finding an agency. London: [Haymarket Campaign], 1993.

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Pollack, Rachel. Temporary agency. London: Orbit, 1995.

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Kalim, Mazhar. Crown agency. Multan: Yusuf Brothers, 1990.

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Harris, Dan. Creative Agency. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77434-9.

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Sharov, Alexei, and Morten Tønnessen. Semiotic Agency. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89484-9.

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Knappett, Carl, and Lambros Malafouris, eds. Material Agency. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74711-8.

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Powers, John E. Agency adjudications. College Station: Texas Engineering Extension Service, Texas A&M University System, 1990.

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Book chapters on the topic "Agency"

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Roberts, John. "Agency without Agents." In Belief and Organization, 144–62. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137263100_9.

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Webb, Rick. "Introduction." In Agency, 1–3. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_1.

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Webb, Rick. "Working for Other Agencies." In Agency, 75–85. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_10.

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Webb, Rick. "Pro Bono Work." In Agency, 87–92. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_11.

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Webb, Rick. "The Basics." In Agency, 95–101. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_12.

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Webb, Rick. "The Emotional." In Agency, 103–9. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_13.

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Webb, Rick. "The Pitch." In Agency, 111–34. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_14.

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Webb, Rick. "The Rational." In Agency, 135–54. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_15.

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Webb, Rick. "On Partners and Partnership." In Agency, 157–60. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_16.

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Webb, Rick. "The Team." In Agency, 161–69. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1007/978-1-137-50122-6_17.

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Conference papers on the topic "Agency"

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Garcia, Alessandro F., Viviane T. da Silva, Carlos J. P. de Lucena, and Ruy L. Milidiú. "An Aspect-Based Approach for Developing Multi-Agent Object-Oriented Systems." In Simpósio Brasileiro de Engenharia de Software. Sociedade Brasileira de Computação, 2001. http://dx.doi.org/10.5753/sbes.2001.23988.

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Agent technology has been revisited as a complementary approach to the object paradigm in order to design and implement complex distributed software. Objects and agents have many similarities, but agents are also driven by beliefs, goals, capabilities, plans, and a number of agency properties such as autonomy, adaptation, interaction, learning and mobility. Moreover, cooperating software agents must incorporate different collaborative capabilities in order to work together in heterogeneous contexts. In practice, a complex application is composed of objects and multiple types of agents, each of them having distinct agency properties and capabilities. An additional difficulty is that these capabilities and properties typically overlap and interact with each other, and a disciplined scheme to composition is required. This paper discusses software engineering approaches for multi-agent systems, and presents a new approach for building multi-agent object-oriented software from early stage of design. This approach (i) describes structured integration of agents into the object model, (ii) incorporates flexible facilities to build different types of software agents, (iii) encourages the separate handling of each property and capability of an agent, (iv) provides explicit support for disciplined and transparent composition of agency properties and capabilities in complex software agents, and (v) allows the production of agent-based software so that it is easy to understand, maintain and reuse. The proposed approach explores the benefits of aspect-based design and programming for the incorporation of agents in object-oriented systems. We also demonstrate our multi-agent approach through the Portalware system, a web-based environment for the development of e-commerce portals.
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Van Lier, Maud. "Understanding Large Language Models through the Lens of Artificial Agency." In 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp199008.

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This paper is motivated by Floridi’s recent claim that Large Language Models like ChatGPT can be seen as ‘intelligence-free’ agents. Where I do not agree with Floridi that such systems are intelligence-free, my paper does question whether they can be called agents, and if so, what kind. I argue for the adoption of a more restricted understanding of agent in AI-research, one that comes closer in its meaning to how the term is used in the philosophies of mind, action, and agency. I propose such a more narrowing understanding of agent, suggesting that an agent can be seen as entity or system that things can be ‘up to’, that can act autonomously in a way that is best understood on the basis of Husserl’s notion of indeterminate determinability.
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Jia, Haiyan, Mu Wu, Eunhwa Jung, Alice Shapiro, and S. Shyam Sundar. "Balancing human agency and object agency." In the 2012 ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2370216.2370470.

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Jahn, Gwyllim, Thomas Morgan, and Stanislav Roudavski. "Mesh Agency." In ACADIA 2014: Design Agency. ACADIA, 2014. http://dx.doi.org/10.52842/conf.acadia.2014.135.

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Babaioff, Moshe, Michal Feldman, and Noam Nisan. "Combinatorial agency." In the 7th ACM conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1134707.1134710.

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DeVasto, Danielle. "Agency Visualized." In SIGDOC '18: The 36th ACM International Conference on the Design of Communication. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3233756.3233936.

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Osawa, Hirotaka, and Michita Imai. "Morphing agency." In CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2468356.2468745.

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Pantic, Igor, and Soomeen Hahm. "Isomorphic Agency." In CAADRIA 2015: Emerging Experience in Past, Present and Future of Digital Architecture. CAADRIA, 2015. http://dx.doi.org/10.52842/conf.caadria.2015.179.

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Pantic, Igor, and Soomeen Hahm. "Isomorphic Agency." In CAADRIA 2015: Emerging Experience in Past, Present and Future of Digital Architecture. CAADRIA, 2015. http://dx.doi.org/10.52842/conf.caadria.2015.179.

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Ballestas, Caseysimone, Euiyoung Kim, Jesuël Lanoy, and Jules Janssens. "Design-Engineers’ Selection of Agency: Harm Mitigation in Ambient Intelligent Environments." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91063.

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Abstract The computing paradigm where sensor and actuator technology work in tandem to track and act on events in real Euclidean space, known as ambient intelligence (AmI), is likely to become increasingly common due to the rapid maturation of computing technology. Installing AmI in the built environment creates ambient intelligent environments (AmIE), which strive to make the places we inhabit (invisibly) sensitive and responsive to our presence, needs, wants, and preferences. Given that built environments and the goings-on therein are complicated in an of them selves, implementing AmI for (increasingly) complicated tasks in (increasingly) complicated scenarios, increases the difficulty of managing the outcomes in AmIEs. Our previous research indicates that industry practitioners attribute the agency of AmI artifacts as responsible for these outcomes; especially when harm perpetuation is (one of) the outcome(s), which we codified as the Agency/Intelligence Axis [1]. Due to the nascence of AmI, research on best practices for the design-engineering of AmI is still emerging. This research seeks to add to this literature by evaluating our formerly identified Agency/Intelligence Axis in the context of AmIE through a case study of VyZee, a retail company working on transitioning their retail stores to “smart” stores. Our findings highlight that while VyZee seems largely unaware of any relationship between agency and perpetuating un-anticipated/-desired outcomes, they do implement an array of levels of AmI agency in their retail stores, and their justifications for their choices are presented in the discussion. Finally, coding the data revealed more nuance then previously documented in the Agency/Intelligence Axis, and a new Ambient Intelligent Agent Model, which suggests that AmI agents have six properties, is proposed.
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Reports on the topic "Agency"

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Speagle, Donald, Shaun Goldfinch, and Rory Dufficy. Developing agency capability: a new agency capability review framework. Australia and New Zealand School of Government, May 2021. http://dx.doi.org/10.54810/gmku5867.

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This paper, based on a report commissioned from ANZSOG by the WA Public Service Commission looks at the process for developing agency capability reviews and provides a recommended capability review framework for Australian jurisdictions, for use in developing the capability of individual departments and other large agencies.
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Family, Jill E. No Agency Adjudication? Center for Migration Studies, December 2018. http://dx.doi.org/10.14240/cmsesy121818.

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Golosov, Mikhail, and Guido Menzio. Agency Business Cycles. Cambridge, MA: National Bureau of Economic Research, November 2015. http://dx.doi.org/10.3386/w21743.

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Morck, Randall. Generalized Agency Problems. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15051.

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Warner, Eugene. NATO Agency Reform. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada543730.

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Engebretsen, Sarah. Data Brief—Agency. Population Council, July 2023. http://dx.doi.org/10.31899/sbsr2023.1014.

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Prendergast, Canice. Consumers and Agency Problems. Cambridge, MA: National Bureau of Economic Research, August 2001. http://dx.doi.org/10.3386/w8445.

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Gorton, Gary, and Ping He. Agency-Based Asset Pricing. Cambridge, MA: National Bureau of Economic Research, March 2006. http://dx.doi.org/10.3386/w12084.

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Edlin, Aaron, and Benjamin Hermalin. Contract Renegotiation in Agency Problems. Cambridge, MA: National Bureau of Economic Research, July 1997. http://dx.doi.org/10.3386/w6086.

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DEPARTMENT OF DEFENSE WASHINGTON DC. Department of Defense Agency Plan. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada512950.

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