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Academic literature on the topic 'Artificial intelligence service agents'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Artificial intelligence service agents"

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Sonntag, Michael. "AGENTS AS WEB SERVICE PROVIDERS: SINGLE AGENTS OR MAS?" Applied Artificial Intelligence 20, no. 2-4 (February 2006): 203–27. http://dx.doi.org/10.1080/08839510500484223.

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BLAKE, M. BRIAN, SIMON PARSONS, and TERRY R. PAYNE. "The synergy of electronic commerce, agents, and semantic Web services." Knowledge Engineering Review 19, no. 2 (June 2004): 175–80. http://dx.doi.org/10.1017/s0269888904000153.

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Advancements in software agents and Semantic Web service technologies are generally enhancing the landscape of electronic commerce. Semantic Web service technologies promise the standardisation and discoverability of software capabilities for network-enabled organisations. Moreover, with the addition of the intelligence and autonomy of software agents, transactions may be equally automated for consumer-to-consumer, business-to-consumer, and business-to-business collaborations. The 2003 Workshop on Electronic Commerce, Agents, and Semantic Web Services was held in conjunction with the International Conference on Electronic Commerce (ICEC2003). The purpose of this workshop was to bring together researchers and practitioners in the areas of electronic commerce, agents, and Semantic Web services to discuss the state-of-art in each individual area in addition to the synergies among the areas. This paper contains a summary of the workshop presentations and a discussion of next steps for Semantic Web services created in the working sessions concluding the workshop.
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PELACHAUD, CATHERINE, and ISABELLA POGGI. "Multimodal embodied agents." Knowledge Engineering Review 17, no. 2 (June 2002): 181–96. http://dx.doi.org/10.1017/s0269888902000218.

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1 Believable interactive embodied agentsAmong the goals of research on autonomous agents one important aim is to build believable interactive embodied agents that are apt to application to friendly interfaces in e-commerce, tourist and service query systems, entertainment (e.g. synthetic actors) and education (pedagogical agents, agents for help and instruction to the hearing impaired).
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HONARI, SINA, BRIGITTE JAUMARD, and JAMAL BENTAHAR. "UNCERTAINTY-BASED TRUST ESTIMATION IN A MULTI-VALUED TRUST ENVIRONMENT." International Journal on Artificial Intelligence Tools 22, no. 05 (October 2013): 1360003. http://dx.doi.org/10.1142/s0218213013600038.

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Despite the widespread usage of the evaluation mediums for online services by the clients, there is a requirement for a trust evaluation tool that provides the clients with the degree of trustworthiness of the service providers. Such a tool can provide increased familiarity with unknown third party entities, e.g. service providers, especially when those entities neither project completely trustworthy nor totally untrustworthy behaviour. Indeed, developing some metrics for trust evaluation under uncertainty can come handy, e.g., for customers interested in evaluating the trustworthiness of an unknown service provider throughout queries to other customers of unknown reliability. In this research, we propose an evaluation metric to estimate the degree of trustworthiness of an unknown agent, say aD, through the information acquired through a group of agents who have interacted with agent aD. This group of agents is assumed to have an unknown degree of reliability. In order to tackle the uncertainty associated with the trust of these set of unknown agents, we suggest to use possibility distributions. Later, we introduce a new certainty metric to measure the degree of agreement in the information reported by the group of agents in A on agent aD. Fusion rules are then used to measure an estimation of the agent aD’s degree of trustworthiness. To the best of our knowledge, this is the first work that estimates trust, out of empirical data, subject to some uncertainty, in a discrete multi-valued trust domain. Finally, numerical experiments are presented to validate the proposed tools and metrics.
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Choi, Key-sun. "Artificial Intelligence and Artificial Language: Agents in Information Architecture for Intelligent Distributed Multilingual Document Retrieval Service." Journal of Universal Language 2, no. 1 (March 31, 2001): 34–50. http://dx.doi.org/10.22425/jul.2001.2.1.34.

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Jonker, Catholijn M., Koen V. Hindriks, Pascal Wiggers, and Joost Broekens. "Negotiating Agents." AI Magazine 33, no. 3 (September 20, 2012): 79. http://dx.doi.org/10.1609/aimag.v33i3.2421.

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Negotiation is a complex emotional decision-making process aiming to reach an agreement to exchange goods or services. From an agent technological perspective creating negotiating agents that can support humans with their negotiations is an interesting challenge. Already more than a decade, negotiating agents can outperform human beings (in terms of deal optimality) if the negotiation space is well-understood. However, the inherent semantic problem and the emotional issues involved make that negotiation cannot be handled by artificial intelligence alone, and a human-machine collaborative system is required. This article presents research goals, challenges, and an approach to create the next generation of negotiation support agents.
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Goltz, Nachshon (Sean), John Zeleznikow, and Tracey Dowdeswell. "From the Tree of Knowledge and the Golem of Prague to Kosher Autonomous Cars: The Ethics of Artificial Intelligence Through Jewish Eyes." Oxford Journal of Law and Religion 9, no. 1 (February 1, 2020): 132–56. http://dx.doi.org/10.1093/ojlr/rwaa015.

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Abstract This article discusses the regulation of artificial intelligence from a Jewish perspective, with an emphasis on the regulation of machine learning and its application to autonomous vehicles and machine learning. Through the Biblical story of Adam and Eve as well as Golem legends from Jewish folklore, we derive several basic principles that underlie a Jewish perspective on the moral and legal personhood of robots and other artificially intelligent agents. We argue that religious ethics in general, and Jewish ethics in particular, show us that the dangers of granting moral personhood to robots and in particular to autonomous vehicles lie not in the fact that they lack a soul—or consciousness or feelings or interests—but because to do so weakens our own ability to develop as fully autonomous legal and moral persons. Instead, we argue that existing legal persons should continue to maintain legal control over artificial agents, while natural persons assume ultimate moral responsibility for choices made by artificial agents they employ in their service. In the final section of the article we discuss the trolley dilemma in the context of governing autonomous vehicles and sketch out an application of Jewish ethics in a case where we are asking Artificial Intelligence to make life and death decisions. Our novel contribution is two-fold; first, we bring a religious approach to the discussion of the ethics of Artificial Intelligence which has hitherto been dominated by secular Western philosophies; second, we raise the idea that artificial entities who are trained through machine learning can be ethically trained in much the same way that human are—through reading and reflecting on core religious texts. This is both a way of ensuring the ethical regulation of artificial intelligence, but also promotes other core values of regulation, such as democratic engagement and user choice.
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Gunasekera, Kutila, Seng Wai Loke, Arkady Zaslavsky, and Shonali Krishnaswamy. "IMPROVING EFFICIENCY OF SERVICE-ORIENTED CONTEXT-DRIVEN SOFTWARE AGENTS." Cybernetics and Systems 42, no. 5 (June 2011): 324–40. http://dx.doi.org/10.1080/01969722.2011.595336.

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SMIRNOV, ALEXANDER, TATIANA LEVASHOVA, NIKOLAY SHILOV, and ALEXEY KASHEVNIK. "HYBRID TECHNOLOGY FOR SELF-ORGANIZATION OF RESOURCES OF PERVASIVE ENVIRONMENT FOR OPERATIONAL DECISION SUPPORT." International Journal on Artificial Intelligence Tools 19, no. 02 (April 2010): 211–29. http://dx.doi.org/10.1142/s0218213010000121.

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The paper addresses the development of a hybrid technology for operational decision support in a pervasive environment. The technology encompasses the idea of implementing a decision support system as a set of Web-services. The Web-services are intended to form an ad-hoc collaborative environment, whose members cooperate with an objective of serving the current needs according to the decision situation. The collaborative environment is made up of resources of a pervasive environment. The technology is focused on three types of resources to be organized: information, problem-solving, and acting, and is supported by a service-based architecture of the decision support system providing types of Web-services needed for this technology implementation. The hybrid technology integrates technologies of ontology management, context management, constraint satisfaction, Web-services, profiling, and intelligent agents. The technology application is illustrated by the decision support for dynamic logistics.
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Al-Araj, Reem, Hossam Haddad, Maha Shehadeh, Elina Hasan, and Mohammad Yousef Nawaiseh. "The Effect of Artificial Intelligence on Service Quality and Customer Satisfaction in Jordanian Banking Sector." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (December 13, 2022): 1929–47. http://dx.doi.org/10.37394/23207.2022.19.173.

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The study emphasizes the importance of Artificial Intelligence (AI) and its applications on the service quality provided by Jordanian banks for their customer satisfaction. This research paper thoroughly reviews the literature on the numerous emergent applications of artificial intelligence and its impact on the banking sector. A rigorous study of the available literature is conducted to examine AI's uses in banking. Artificial intelligence improves the banking experience for millions of clients and employees by providing credit score checking, system failure prediction, emergency alarm systems, fraud detection, phishing website detection, liquidity risk assessment, customer loyalty evaluation and intelligence systems by reducing the employee workload. A questionnaire gathered data from 270 consumers in Jordan's banking sector. The SPSS program used exploratory factor analysis to statistically evaluate the sample data to determine service quality and customer satisfaction. The results show that the updated SERVQUAL Model extracted five subscales instead of the eight in the original model. The extracted subscales were tangibility, assurance, reliability, responsiveness, and empathy. According to this study, artificial intelligence is statistically relevant to service quality and customer satisfaction. The updated SERVQUAL model, according to the authors, helps address customer satisfaction in the banking sector. The research findings suggest that the demand for artificial intelligence in the Jordanian banking sector is equally essential for the customers; thus, there should be an optimal balance between virtual and human agents based on the customers' requirements and preferences. Further, this study found practical implications of using AI in banking, particularly those related to Jordanian customer perception.
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Dissertations / Theses on the topic "Artificial intelligence service agents"

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Dinu, Razvan. "Web Agents : towards online hybrid multi-agent systems." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20126/document.

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Multi-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have the potential of making life much easier for humans. This thesis investigates how this can be changed, and how agents can be brought to the core of the online experience in the sense that we want people to talk and interact with agents instead of "just using yet another application or website". We analyze what makes it hard to develop intelligent agents on the web and we propose a web agent model (WAM) inspired by recent results in multi-agent systems. Nowadays, a simple conceptual model is the key for widespread adoption of new technologies and this is why we have chosen the MASQ meta-model as the basis for our approach, which provides the best compromise in terms of simplicity of concepts, generality and applicability to the web. Since until now the model was introduced only in an informal way, we also provide a clear formalization of the MASQ meta-model.Next, we identify the three main challenges that need to be addressed when building web agents: integration of bodies, web semantics and user friendliness. We focus our attention on the first two and we propose a set of principles to guide the development of what we call strong web agents. Finally, we validate our proposal through the implementation of an award winning platform called Kleenk. Our work is just a step towards fulfilling the vision of having intelligent web agents mediate the interaction with the increasingly complex World Wide Web
Multi-agent systems have been used in a wide range of applications from computer-based simulations and mobile robots to agent-oriented programming and intelligent systems in real environments. However, the largest environment in which software agents can interact is, without any doubt, the World Wide Web and ever since its birth agents have been used in various applications such as search engines, e-commerce, and most recently the semantic web. However, agents have yet to be used on the Web in a way that leverages the full power of artificial intelligence and multi-agent systems, which have the potential of making life much easier for humans. This thesis investigates how this can be changed, and how agents can be brought to the core of the online experience in the sense that we want people to talk and interact with agents instead of "just using yet another application or website". We analyze what makes it hard to develop intelligent agents on the web and we propose a web agent model (WAM) inspired by recent results in multi-agent systems. Nowadays, a simple conceptual model is the key for widespread adoption of new technologies and this is why we have chosen the MASQ meta-model as the basis for our approach, which provides the best compromise in terms of simplicity of concepts, generality and applicability to the web. Since until now the model was introduced only in an informal way, we also provide a clear formalization of the MASQ meta-model.Next, we identify the three main challenges that need to be addressed when building web agents: integration of bodies, web semantics and user friendliness. We focus our attention on the first two and we propose a set of principles to guide the development of what we call strong web agents. Finally, we validate our proposal through the implementation of an award winning platform called Kleenk. Our work is just a step towards fulfilling the vision of having intelligent web agents mediate the interaction with the increasingly complex World Wide Web
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Huhtinen, J. (Jouni). "Utilization of neural network and agent technology combination for distributed intelligent applications and services." Doctoral thesis, University of Oulu, 2005. http://urn.fi/urn:isbn:9514278550.

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Abstract The use of agent systems has increased enormously, especially in the field of mobile services. Intelligent services have also increased rapidly in the web. In this thesis, the utilization of software agent technology in mobile services and decentralized intelligent services in the multimedia business is introduced and described. Both Genie Agent Architecture (GAA) and Decentralized International and Intelligent Software Architecture (DIISA) are described. The common problems in decentralized software systems are lack of intelligence, communication of software modules and system learning. Another problem is the personalization of users and services. A third problem is the matching of users and service characteristics in web application level in a non-linear way. In this case it means that web services follow human steps and are capable of learning from human inputs and their characteristics in an intelligent way. This third problem is addressed in this thesis and solutions are presented with two intelligent software architectures and services. The solutions of the thesis are based on a combination of neural network and agent technology. To be more specific, solutions are based on an intelligent agent which uses certain black box information like Self-Organized Map (SOM). This process is as follows; information agents collect information from different sources like the web, databases, users, other software agents and the environment. Information is filtered and adapted for input vectors. Maps are created from a data entry of an SOM. Using maps is very simple, input forms are completed by users (automatically or manually) or user agents. Input vectors are formed again and sent to a certain map. The map gives several outputs which are passed through specific algorithms. This information is passed to an intelligent agent. The needs for web intelligence and knowledge representation serving users is a current issue in many business solutions. The main goal is to enable this by means of autonomous agents which communicate with each other using an agent communication language and with users using their native languages via several communication channels.
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Bladh, Oskar, Hedvig Henrekson, and Ida Modée. "The Impact of Virtual Agents on Customer Loyalty in Major Swedish Banks." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39856.

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Abstract Background Since the emergence of digital banking, the financial sector has experienced a significant transformation in both how business is conducted and how services are provided to customers. Previous literature has examined how new technologies and the digitalization of banks' customer service affect customer loyalty. Although, since virtual agents acting as service providers in the banking sector is a relatively new phenomenon, there is limited research concerning the implications it will have on the bank-customer relationship. Hence, the novelty and relevance of the topic makes it interesting for further research.    Purpose Through the identified underlying factors affecting customer loyalty, the purpose of this study is to examine how customer loyalty will be affected by the implementation of virtual agents as service providers in major Swedish banks.   Method This is a qualitative study, and the empirical data were collected from semi-structured in-depth interviews with bankers at four major Swedish banks, as well as with ten highly-educated customers who are frequent users of bank services.   Findings The findings showed that virtual agents must affect customer service to a large extent to have a profound impact on customer loyalty. Virtual agents will be able to replace human bankers regarding simpler inquiries satisfyingly. On the other hand, the demand for personal interactions regarding more complex matters is found to be important.
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Xu, Duo. "An agent-based tool for China's express delivery SMEs." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987784.

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Xu, Duo, and 徐鐸. "An agent-based tool for China's express delivery SMEs." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987784.

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Szarowicz, Adam. "Artificial intelligence for animated autonomous agents." Thesis, Kingston University, 2004. http://eprints.kingston.ac.uk/20735/.

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Automatic creation of animated crowd scenes involving multiple interacting characters is currently a field of extensive research. This is because automatic generation of animation finds immediate applications in film post-production and special effects, computer games or event simulation in crowded areas. The work presented here addresses the problem of inadequate application of AI techniques in current animation research. The thesis presents a survey of different industrial and academic approaches and a number of lacking features are identified. After extensive research in existing systems an agent-based system and an animation framework are chosen for extension and the cognitive architecture FreeWill is proposed. The architecture further extends its underlying principles and combines software agent solutions with typical animation elements. It also allows for easy integration with existing tools. Another important contribution of FreeWill is a proposal of an algorithm for automatic generation of high-level actions using reinforcement learning. The chosen learning technique lends itself well to the animation task, as reinforcement learning allows for easy definition of the learning task - only the ultimate goal of the learning agent must be defined. The process of defining and conducting the learning task is explained in detail. The learning module allows for further automation of the process of animation generation, shortens the task of creating crowd scenes and also reduces the production costs. Newly learnt actions can be applied to increase the quality of the generated sequences. The learning module can be used in both deterministic and non-deterministic environments. Experiments in both modes are presented, and conclusions are drawn. Two modes of control - inverse and forward kinematics are also compared and a number of experiments are demonstrated. Learning with inverse kinematics control was found to converge faster for the same task. A working prototype of the architecture is presented and the learnt motion is compared with human motion. The results of the comparison demonstrate that the learning scheme could be used to imitate human motion in crowd scenes. Finally a number of metrics are defined which allow for easy selection of most relevant actions from the learnt set, again helping to automate the process. The work concludes with pointing out further directions of research based on this work and suggests possible extensions and applications.
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Hilton, Erwin. "Visual datasets for artificial intelligence agents." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119553.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 41).
In this thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is Spatial IQ Generative Dataset (SIQGD). This tool generates images based on the Raven's Progressive Matrices spatial IQ examination metric. The second tool is a collection of 3D models along with a Blender3D extension that renders images of the models from multiple viewpoints along with their depth maps.
by Erwin Hilton.
M. Eng.
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Nilsson, Linus. "Explainable Artificial Intelligence for Reinforcement Learning Agents." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-294162.

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Following the success that machine learning has enjoyed over the last decade, reinforcement learning has become a prime research area for automation and solving complex tasks. Ranging from playing video games at a professional level to robots collaborating in picking goods in warehouses, the applications of reinforcement learning are numerous. The systems are however, very complex and the understanding of why the reinforcement learning agents solve the tasks given to them in certain ways are still largely unknown to the human observer. This makes the actual use of the agents limited to non-critical tasks and the information that could be learnt by them hidden. To this end, explainable artificial intelligence (XAI) has been a topic that has received more attention in the last couple of years, in an attempt to be able to explain the machine learning systems to the human operators. In this thesis we propose to use model-agnostic XAI techniques combined with clustering techniques on simple Atari games, as well as proposing an automated evaluation for how well the explanations explain the behavior of the agents. This in an effort to uncover to what extent model-agnostic XAI can be used to gain insight into the behavior of reinforcement learning agents. The tested methods were RISE, t-SNE and Deletion. The methods were evaluated on several different agents trained on playing the Atari-breakout game and the results show that they can be used to explain the behavior of the agents on a local level (one individual frame of a game sequence), global (behavior over the entire game sequence) as well as uncovering different strategies used by the agents and as training time differs between agents.
Efter framgångarna inom maskininlärning de senaste årtiondet har förstärkningsinlärning blivit ett primärt forskningsämne för att lösa komplexa uppgifter och inom automation. Tillämpningarna är många, allt från att spela datorspel på en professionell nivå till robotar som samarbetar för att plocka varor i ett lager. Dock så är systemen väldigt komplexa och förståelsen kring varför en agent väljer att lösa en uppgift på ett specifikt sätt är okända för en mänsklig observatör. Detta gör att de praktiska tillämpningarna av dessa agenter är begränsade till icke-kritiska system och den information som kan användas för att lära ut nya sätt att lösa olika uppgifter är dolda. Utifrån detta så har förklarbar artificiell intelligens (XAI) blivit ett område inom forskning som fått allt mer uppmärksamhet de senaste åren. Detta för att kunna förklara maskininlärningssystem för den mänskliga användaren. I denna examensrapport föreslår vi att använda modelloberoende XAI tekniker kombinerat klustringstekniker på enkla Atarispel, vi föreslår även ett sätt att automatisera hur man kan utvärdera hur väl en förklaring förklarar beteendet hos agenterna. Detta i ett försök att upptäcka till vilken grad modelloberoende XAI tekniker kan användas för att förklara beteenden hos förstärkningsinlärningsagenter. De testade metoderna var RISE, t-SNE och Deletion. Metoderna utvärderades på flera olika agenter, tränade att spelaAtari-breakout. Resultatet visar att de kan användas för att förklara beteendet hos agenterna på en lokal nivå (en individuell bild ur ett spel), globalt beteende (över den totala spelsekvensen) samt även att metoderna kan hitta olika strategier användna av de olika agenterna där mängden träning de fått skiljer sig.
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Badr, Benmammar. "La gestion dynamique de la qualité de service dans les réseaux IP mobiles." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2006. http://tel.archives-ouvertes.fr/tel-00657640.

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Notre contribution dans le cadre de cette thèse est la proposition d'une nouvelle procédure de réservation de ressources à l'avance dans les réseaux IP mobiles et sans fil. Cette procédure fait appel à un nouvel objet nommé MSpec (Mobility Specification) qui représente les futures localisations du terminal mobile. Nous avons proposé un format pour cet objet ainsi qu'un profil de mobilité pour les utilisateurs mobiles qui inclut l'objet MSpec. Ce profil de mobilité découle de l'analyse du comportement de l'utilisateur durant une phase d'observation. Nous avons proposé, également, une extension de ce profil afin de pouvoir gérer le handover vertical (passage d'une technologie d'accès à une autre). Durant la phase d'observation, l'utilisateur est nouveau et le système ne peut donc pas réserver de ressources à l'avance car il ne connaît pas le profil de mobilité de l'utilisateur, et par conséquent le contenu de l'objet MSpec. Sans réservation de ressources à l'avance, nous utilisons la technologie Agent afin d'améliorer la qualité de service demandée par l'utilisateur mobile. Le rôle des agents, dans cette phase, est d'adapter le handover horizontal (passage d'une cellule à une autre en utilisant la même technologie d'accès) et le handover vertical aux besoins de qualité de service de l'utilisateur.
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Bulos, Remedios de dios. "Goal formulation in intelligence agents." Thesis, University of Sussex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285077.

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The development of the research "Goal Formulation in Intelligent Agents" is anchored on the rationale that to be truly called "intelligent", an agent must not only be capable of knowing how to achieve its given goals; preferably, it must also have the capability to formulate its own goals. It must be able to detect its own goals, assess their feasibility, prioritize them, evaluate their validity as to whether they have to be acted upon, terminated, or suspended. This research has developed and implemented an intelligent system that is capable for formulating its own goals. Goal formulation refers to the intelligent behavior that an agent exhibits when reasoning about what goals to pursue and when to pursue them. It is an integrated reasoning mechanism that identifies the relevant goals that an agent needs to accomplish to affect the external world (Goal detection); constantly updates the qualitative and quantitative information attributed to the active goals as events unfold (Active goal status evaluation); assesses whether a goal is attainable through the application of the agent's own actions (Goal achievability assessment); and dynamically evaluates the relative merits of an agent's tasks, provides the agent with a sound basis to make a rational choice among a set of competing alternatives and then decides what to do next based on the choice made (Next action selection). In the development of the goal formulator, the types and structure of the required knowledge are identified; architectures for the various goal formulation components have been designed; and algorithms for the various goal formulation reasoning mechanisms (e.g. application of NPV economic decision criterion) have been developed and implemented in Prolog. To prove the applicability of the goal formulation concepts that this research had developed, the system was applied in the housekeeping domain. Simulations of some housekeeping cases are provided.
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Books on the topic "Artificial intelligence service agents"

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Borangiu, Theodor. Service Orientation in Holonic and Multi-Agent Manufacturing Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Borangiu, Theodor. Service Orientation in Holonic and Multi Agent Manufacturing and Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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1957-, Lu Jie, Ruan Da, and Zhang Guangquan 1954-, eds. E-service intelligence: Methodologies, technologies, and applications. Berlin: Springer, 2007.

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International Conference on Intelligence in Services and Networks (6th 1999 Barcelona, Spain). Intelligence in services and networks: Paving the way for an open service market : 6th International Conference on Intelligence in Services and Networks, IS&N'99, Barcelona, Spain, April 27-29, 1999 : proceedings. Berlin: Springer, 1999.

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Jain, L. C. Intelligent Agents in the Evolution of Web and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Eladhari, Mirjam Palosaari. Characterising action potential in virtual game worlds applied with the mind module. Visby: Gotland University Press, 2011.

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Ryszard, Kowalczyk, and International Joint Conference on Autonomous Agents and Multiagent Systems (7th : 2008 : Estoril, Portugal), eds. Service-oriented computing: Agents, semantics, and engineering : AAMAS 2008 International Workshop, SOCASE 2008, Estoril, Portugal, May 12, 2008 : proceedings. Berlin: Springer, 2008.

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Kowalczyk, Ryszard. Service-Oriented Computing: Agents, Semantics, and Engineering: AAMAS 2009 International Workshop SOCASE 2009, Budapest, Hungary, May 11, 2009. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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Sugumaran, Vijayan. Intelligent, adaptive and reasoning technologies: New developments and applications. Hershey, PA: Information Science Reference, 2011.

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Rocha, Ana Paula, Luc Steels, and Jaap van den Herik, eds. Agents and Artificial Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71158-0.

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Book chapters on the topic "Artificial intelligence service agents"

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Zhang, Zili, and Chengqi Zhang. "A Serving Agent for Integrating Soft Computing and Software Agents." In Advanced Topics in Artificial Intelligence, 476–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46695-9_44.

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Wang, Minhong, and Huaiqing Wang. "Agents and Web Services Supported Business Exception Management." In PRICAI 2004: Trends in Artificial Intelligence, 615–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28633-2_65.

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Rault, Raphaël, and Damien Trentesaux. "Artificial Intelligence, Autonomous Systems and Robotics: Legal Innovations." In Service Orientation in Holonic and Multi-Agent Manufacturing, 1–9. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73751-5_1.

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Lin, Aizhong, and Piyush Maheshwari. "Agent-Based Middleware for Web Service Dynamic Integration on Peer-to-Peer Networks." In AI 2005: Advances in Artificial Intelligence, 405–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11589990_43.

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Romero, Oscar J. "Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing." In Artificial Intelligence and Mobile Services – AIMS 2019, 101–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23367-9_8.

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Chen, Beiran, Yi Zhang, and George Iosifidis. "Resource Sharing in Public Cloud System with Evolutionary Multi-agent Artificial Swarm Intelligence." In Service-Oriented Computing – ICSOC 2020 Workshops, 240–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76352-7_25.

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Pils, Carsten, and Jens Hartmann. "The User Agent: An Approach for Service and Profile Management in Wireless Access Systems." In Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader, 279–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45408-x_28.

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Wang, Yunzhe, Nikolos Gurney, Jincheng Zhou, David V. Pynadath, and Volkan Ustun. "Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent." In Computational Theory of Mind for Human-Machine Teams, 220–28. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21671-8_14.

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Burnett, Donna, Nicole El-Haber, Damminda Alahakoon, Stamatis Karnouskos, and Daswin De Silva. "Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation." In Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future, 363–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99108-1_26.

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McCreadie, Richard, Konstantinos Perakis, Maanasa Srikrishna, Nikolaos Droukas, Stamatis Pitsios, Georgia Prokopaki, Eleni Perdikouri, Craig Macdonald, and Iadh Ounis. "Next-Generation Personalized Investment Recommendations." In Big Data and Artificial Intelligence in Digital Finance, 171–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-94590-9_10.

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AbstractRecent advances in Big Data and Artificial Intelligence have created new opportunities for AI-based agents, referred to as Robo-Advisors, to provide financial advice and recommendations to investors. In this chapter, we will introduce the concept of investment recommendation and describe how automated services for this task can be developed and tested. In particular, this chapter covers the following core topics: (1) the legal landscape for investment recommendation systems, (2) what financial asset recommendation is and what data it needs to function, (3) how to clean and curate that data, (4) approaches to build/train asset recommendation models and (5) how to evaluate such systems prior to putting them into production.
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Conference papers on the topic "Artificial intelligence service agents"

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Lesca, Julien, and Taiki Todo. "Service Exchange Problem." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/49.

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In this paper, we study the service exchange problem where each agent is willing to provide her service in order to receive in exchange the service of someone else. We assume that agent's preference depends both on the service that she receives and the person who receives her service. This framework is an extension of the housing market problem to preferences including a degree of externalities. We investigate the complexity of computing an individually rational and Pareto efficient allocation of services to agents for ordinal preferences, and the complexity of computing an allocation which maximizes either the utility sum or the utility of the least served agent for cardinal preferences.
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"COMPONENT & SERVICE-BASED AGENT SYSTEMS: SELF-OSGI." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003890302000210.

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Chitic, Stefan-Gabriel, Julien Ponge, and Olivier Simonin. "SDfR - Service Discovery for Robots." In 8th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005755202360243.

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Kondo, Yuya, and Ahmed Moustafa. "Service Selection for Service-Oriented Architecture using Off-line Reinforcement Learning in Dynamic Environments." In 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010872400003116.

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"FLEXIBLE COMMAND INTERPRETATION ON AN INTERACTIVE DOMESTIC SERVICE ROBOT." In International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003707300260035.

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Facchini, Sante Dino. "Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/828.

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The Ph.D research project aims to explore the potential of the Decentralized Autonomous Organization paradigm in conjunction with classic software architectures for Artificial Intelligence applications. The intended goal is to investigate and formalize a possible integration path between Multi-agent System architectures and Decentralized Autonomous Organizations. Starting from the Foundation for Intelligent Physical Agents standards, we will extend basic primitives to integrate Multi-agent Systems on Distributed Ledger Technology networks. Possible deployment of services and applications in the Internet-of-Things, Artificial Intelligence and Distributed Machine Learning areas will be tested. Application of Data Analysis techniques on datasets built on such a framework will be also addressed.
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Gattuta, Laura, Alessio Langiu, Luca Sabatucci, Vincenzo Suraci, and Mario Sprovieri. "Affordable Remote Terminal for Sensor Observation Service." In 12th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009149802720278.

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"AUTOMATIC CONFIGURATION OF SERVICE DIRECTORIES IN MULTIAGENT SYSTEMS." In 1st International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001791105580563.

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"DYNAMIC SERVICE DISCRIMINATION STRATEGY DEVELOPMENT USING GAME THEORY." In 2nd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002714902820286.

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"MICROSERVICES - Lightweight Service Descriptions for REST Architectural Style." In 2nd International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002720105760579.

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Reports on the topic "Artificial intelligence service agents"

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Bergsen, Pepijn, Carolina Caeiro, Harriet Moynihan, Marianne Schneider-Petsinger, and Isabella Wilkinson. Digital trade and digital technical standards. Royal Institute of International Affairs, January 2022. http://dx.doi.org/10.55317/9781784135133.

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There is increasing impetus for stronger cooperation between the US, EU and UK on digital technology governance. Drivers of this trend include the economic incentives arising from opportunities for digital trade; the ambition for digital technology governance to be underpinned by shared values, including support for a democratic, open and global internet; and the need to respond to geopolitical competition, especially from China. Two specific areas of governance in which there is concrete potential to collaborate, and in which policymakers have indicated significant ambitions to do so, are digital trade and digital technical standards. - To leverage strategic opportunities for digital trade, the US, EU and UK need to continue identifying and promoting principles based on shared values and agendas, and demonstrate joint leadership at the global level, including in the World Trade Organization (WTO) on e-commerce. - Policy actors in the US, EU and UK should work individually and collectively to build on the latest generation of digital trade agreements. This will help to promote closer alignment on digital rules and standards, and support the establishment of more up-to-date models for innovation and governance. - Collaborating on digital technical standards, particularly those underlying internet governance and emerging technologies, offers the US, EU and UK strategic opportunities to build a vision of digital technology governance rooted in multi-stakeholder participation and democratic values. This can provide a strong alternative to standards proposals such as China’s ‘New IP’ system. - Policy actors should seek to expand strategic cooperation on standards development among the US, EU and UK, among like-minded countries, and among states that are undecided on the direction of their technology governance, including in the Global South. They should also take practical steps to incorporate the views and expertise of the technology industry, the broader private sector, academia and civil society. By promoting best-practice governance models that are anticipatory, dynamic and flexible, transatlantic efforts for cooperation on digital regulation can better account for the rapid pace of technological change. Early evidence of this more forward-looking approach is emerging through the EU’s proposed regulation of digital services and artificial intelligence (AI), and in the UK’s proposed legislation to tackle online harms. The recently launched EU-US Trade and Technology Council is a particularly valuable platform for strengthening cooperation in this arena. But transatlantic efforts to promote a model of digital governance predicated on democratic values would stand an even greater chance of success if the council’s work were more connected to efforts by the UK and other leading democracies
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