Gotowe bibliografie tematyczne / Conversation Agent

Gotowa bibliografia na temat „Conversation Agent”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 1 lutego 2022

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Artykuły w czasopismach na temat "Conversation Agent"

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Belainine, Billal, Fatiha Sadat i Hakim Lounis. "Modelling a Conversational Agent with Complex Emotional Intelligence". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 10 (3.04.2020): 13710–11. http://dx.doi.org/10.1609/aaai.v34i10.7127.

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Chatbots or conversational agents have enjoyed great popularity in recent years. They surprisingly perform sensitive tasks in modern societies. However, despite the fact that they offer help, support, and fellowship, there is a task that is not yet mastered: dealing with complex emotions and simulating human sensations. This research aims to design an architecture for an emotional conversation agent for long-text conversations (multi-turns). This agent is intended to work in areas where the analysis of users feelings plays a leading role. This work refers to natural language understanding and response generation.
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Goh, Ong Sing, Chun Che Fung, Kok Wai Wong i Arnold Depickere. "Embodied Conversational Agents for H5N1 Pandemic Crisis". Journal of Advanced Computational Intelligence and Intelligent Informatics 11, nr 3 (20.03.2007): 282–88. http://dx.doi.org/10.20965/jaciii.2007.p0282.

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This paper presents a novel framework for modeling embodied conversational agent for crisis communication focusing on the H5N1 pandemic crisis. Our system aims to cope with the most challenging issue on the maintenance of an engaging while convincing conversation. What primarily distinguishes our system from other conversational agent systems is that the human-computer conversation takes place within the context of H5N1 pandemic crisis. A Crisis Communication Network, called CCNet, is established based on a novel algorithm incorporating natural language query and embodied conversation agent simultaneously. Another significant contribution of our work is the development of a Automated Knowledge Extraction Agent (AKEA) to capitalize on the tremendous amount of data that is now available online to support our experiments. What makes our system differs from typical conversational agents is the attempt to move away from strictly task-oriented dialogue.
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Watkinson, Neftali, Fedor Zaitsev, Aniket Shivam, Michael Demirev, Mike Heddes, Tony Givargis, Alexandru Nicolau i Alexander Veidenbaum. "EdgeAvatar: An Edge Computing System for Building Virtual Beings". Electronics 10, nr 3 (20.01.2021): 229. http://dx.doi.org/10.3390/electronics10030229.

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Dialogue systems, also known as conversational agents, are computing systems that use algorithms for speech and language processing to engage in conversation with humans or other conversation-capable systems. A chatbot is a conversational agent that has, as its primary goal, to maximize the length of the conversation without any specific targeted task. When a chatbot is embellished with an artistic approach that is meant to evoke an emotional response, then it is called a virtual being. On the other hand, conversational agents that interact with the physical world require the use of specialized hardware to sense and process captured information. In this article we describe EdgeAvatar, a system based on Edge Computing principles for the creation of virtual beings. The objective of the EdgeAvatar system is to provide a streamlined and modular framework for virtual being applications that are to be deployed in public settings. We also present two implementations that use EdgeAvatar and are inspired by historical figures to interact with visitors of the Venice Biennale 2019. EdgeAvatar can adapt to fit different approaches for AI powered conversations.
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Pilato, Giovanni, Agnese Augello i Salvatore Gaglio. "A Modular System Oriented to the Design of Versatile Knowledge Bases for Chatbots". ISRN Artificial Intelligence 2012 (5.03.2012): 1–10. http://dx.doi.org/10.5402/2012/363840.

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The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base for a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations. The modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According to this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into account particular features of the dialogue or the user behavior. We illustrate the implementation of a proof-of-concept prototype: a set of modules exploiting different knowledge representation methodologies and capable of managing different conversation features has been developed. Each module is automatically triggered through a component, named corpus callosum, that selects in real time the most adequate chatbot knowledge module to activate.
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Young Oh, Eun, Donggil Song i 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, nr 1 (10.04.2019): 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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Lin, Phoebe, Jessica Van Brummelen, Galit Lukin, Randi Williams i Cynthia Breazeal. "Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 09 (3.04.2020): 13381–88. http://dx.doi.org/10.1609/aaai.v34i09.7061.

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Understanding how machines learn is critical for children to develop useful mental models for exploring artificial intelligence (AI) and smart devices that they now frequently interact with. Although children are very familiar with having conversations with conversational agents like Siri and Alexa, children often have limited knowledge about AI and machine learning. We leverage their existing familiarity and present Zhorai, a conversational platform and curriculum designed to help young children understand how machines learn. Children ages eight to eleven train an agent through conversation and understand how the knowledge is represented using visualizations. This paper describes how we designed the curriculum and evaluated its effectiveness with 14 children in small groups. We found that the conversational aspect of the platform increased engagement during learning and the novel visualizations helped make machine knowledge understandable. As a result, we make recommendations for future iterations of Zhorai and approaches for teaching AI to children.
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Oktarini, Kadek Ratih Dwi. "Are You Flirting, Objectifying or What? a Conversation Analysis of “you’re very sexy” Conversational Turn". SOSHUM : Jurnal Sosial dan Humaniora 10, nr 3 (28.11.2020): 294–308. http://dx.doi.org/10.31940/soshum.v10i3.1972.

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Intent identification is one of the most critical components in conversational agent design. Conversational agent “is any dialogue system that not only conducts natural language processing but also responds automatically using human language.” (Conversational Agent, 2019). The crux of designing human-like conversational agent is to mimic how human understands another human and then responds “naturally”. The current study attempts to answer the fundamental question: how to model human processes of understanding another human? In order to answer that question, it starts from exploring some basic concepts relevant to intent identification from Conversation Analysis (CA). CA is a mature field that studies authentic human interaction. The basic concepts from CA are then synthesised into a model that potentially fit to existing framework and paradigm in conversational agent design, i.e. Natural Conversation Framework (NCF) and Intent-Entity-Context-Response (IECR) paradigm. Instead of using a made-up sentence, the model is then tested to an authentic conversational turn seksi sekali dirimu ‘you’re very sexy’. The test shows that the model is able to detect several possible intents contain in this authentic conversational turn. The model is also able to handle Conversational Indonesian and multi-modality. Considering the versatility of Conversation Analysis, in all likelihood the model will be able to handle any language and all kinds of modalities. Future study can be done to analyse more Conversational Indonesian data (to develop library of intent for Conversational Indonesian Language), as well as conversational data from different languages and conversational data containing diverse modalities.
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Rodríguez, John Ibañez, Santiago Rocha Durán, Daniel Díaz-López, Javier Pastor-Galindo i Félix Gómez Mármol. "C3-Sex: A Conversational Agent to Detect Online Sex Offenders". Electronics 9, nr 11 (27.10.2020): 1779. http://dx.doi.org/10.3390/electronics9111779.

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Prevention of cybercrime is one of the missions of Law Enforcement Agencies (LEA) aiming to protect and guarantee sovereignty in the cyberspace. In this regard, online sex crimes are among the principal ones to prevent, especially those where a child is abused. The paper at hand proposes C3-Sex, a smart chatbot that uses Natural Language Processing (NLP) to interact with suspects in order to profile their interest regarding online child sexual abuse. This solution is based on our Artificial Conversational Entity (ACE) that connects to different online chat services to start a conversation. The ACE is designed using generative and rule-based models in charge of generating the posts and replies that constitute the conversation from the chatbot side. The proposed solution also includes a module to analyze the conversations performed by the chatbot and calculate a set of 25 features that describes the suspect’s behavior. After 50 days of experiments, the chatbot generated a dataset with 7199 profiling vectors with the features associated to each suspect. Afterward, we applied an unsupervised method to describe the results that differentiate three groups, which we categorize as indifferent, interested, and pervert. Exhaustive analysis is conducted to validate the applicability and advantages of our solution.
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Roberts, Seán G., i Stephen C. Levinson. "Conversation, cognition and cultural evolution". Interaction Studies 18, nr 3 (8.12.2017): 402–42. http://dx.doi.org/10.1075/is.18.3.06rob.

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This paper outlines a first attempt to model the special constraints that arise in language processing in conversation, and to explore the implications such functional considerations may have on language typology and language change. In particular, we focus on processing pressures imposed by conversational turn-taking and their consequences for the cultural evolution of the structural properties of language. We present an agent-based model of cultural evolution where agents take turns at talk in conversation. When the start of planning for the next turn is constrained by the position of the verb, the stable distribution of dominant word orders across languages evolves to match the actual distribution reasonably well. We suggest that the interface of cognition and interaction should be a more central part of the story of language evolution.
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Arsovski, Sasa, Adrian David Cheok, Kirthana Govindarajoo, Nurizzaty Salehuddin i Somaiyeh Vedadi. "Artificial intelligence snapchat: Visual conversation agent". Applied Intelligence 50, nr 7 (26.02.2020): 2040–49. http://dx.doi.org/10.1007/s10489-019-01621-2.

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Rozprawy doktorskie na temat "Conversation Agent"

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Ishii, Ryo. "Designing Conversational Interfaces for Facilitating Conversation using User's Gaze Behaviors". 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180472.

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au, os goh@murdoch edu, i Ong Sing Goh. "A framework and evaluation of conversation agents". Murdoch University, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20081020.134601.

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This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multiple channels. The CA developed in this project is termed “Artificial Intelligence Natural-language Identity” (AINI) and AINI is used to illustrate the implementation and testing carried out in this project. Up to now, most CAs have been developed with a short term objective to serve as tools to convince users that they are talking with real humans as in the case of the Turing Test. The traditional designs have mainly relied on ad-hoc approach and hand-crafted domain knowledge. Such approaches make it difficult for a fully integrated system to be developed and modified for other domain applications and tasks. The proposed framework in this thesis addresses such limitations. Overcoming the weaknesses of previous systems have been the key challenges in this study. The research in this study has provided a better understanding of the system requirements and the development of a systematic approach for the construction of intelligent CAs based on agent architecture using a modular N-tiered approach. This study demonstrates an effective implementation and exploration of the new paradigm of Computer Mediated Conversation (CMC) through CAs. The most significant aspect of the proposed framework is its ability to re-use and encapsulate expertise such as domain knowledge, natural language query and human-computer interface through plug-in components. As a result, the developer does not need to change the framework implementation for different applications. This proposed system provides interoperability among heterogeneous systems and it has the flexibility to be adapted for other languages, interface designs and domain applications. A modular design of knowledge representation facilitates the creation of the CA knowledge bases. This enables easier integration of open-domain and domain-specific knowledge with the ability to provide answers for broader queries. In order to build the knowledge base for the CAs, this study has also proposed a mechanism to gather information from commonsense collaborative knowledge and online web documents. The proposed Automated Knowledge Extraction Agent (AKEA) has been used for the extraction of unstructured knowledge from the Web. On the other hand, it is also realised that it is important to establish the trustworthiness of the sources of information. This thesis introduces a Web Knowledge Trust Model (WKTM) to establish the trustworthiness of the sources. In order to assess the proposed framework, relevant tools and application modules have been developed and an evaluation of their effectiveness has been carried out to validate the performance and accuracy of the system. Both laboratory and public experiments with online users in real-time have been carried out. The results have shown that the proposed system is effective. In addition, it has been demonstrated that the CA could be implemented on the Web, mobile services and Instant Messaging (IM). In the real-time human-machine conversation experiment, it was shown that AINI is able to carry out conversations with human users by providing spontaneous interaction in an unconstrained setting. The study observed that AINI and humans share common properties in linguistic features and paralinguistic cues. These human-computer interactions have been analysed and contributed to the understanding of how the users interact with CAs. Such knowledge is also useful for the development of conversation systems utilising the commonalities found in these interactions. While AINI is found having difficulties in responding to some forms of paralinguistic cues, this could lead to research directions for further work to improve the CA performance in the future.
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Bowden, MaryZoe. "Teaching as a Moral Act: Simone Weil's Liminality as an Addition to the Moral Conversation in Education". Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3592.

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We are facing a crisis in education: there is a vacuum where there once was an exhortation in terms of how teachers serve as moral models for their students. This reality becomes even more complex when the particular educator facing the dilemma has a specific religious perspective herself. The problem confronted in this philosophical study is how does today's educator, working in the public sector and having a particular religious background, best serve her students in her role as a moral agent, given an environment that is either vacuous of or even hostile toward the moral vector implicit in education. The following questions are considered: 1) Does education today have a moral end? 2) What should that moral end be? 3) What should the educator's role be in said education? 4) Has education historically served as a moral endeavor? 5) And finally, how much should a teacher with a specific religious basis for her morals allow that to affect her role as moral agent in a secular setting? In order to respond to these questions, an historical review of how teachers were traditionally expected to serve as moral agents was undertaken, as were a review of contemporary research on moral education and a consideration of numerous philosophers' perspectives. Simone Weil, a French philosopher and teacher, is looked to as an example of a woman who lived her life with a core set of beliefs that led her to both push boundaries and yet remain in a liminal space that allowed her to remain open to others' values and needs. Weil's liminal approach to life is explored in combination with MacIntyre's call to found a morality on virtues based on a teleological view of man. Ultimately it is suggested that the educator with a deep sense of faith must both strive to function in the liminality Weil represented, and to root herself deeply in her own faith, from which she will gain the strength to live within the necessary tension evoked by teaching in a secular institution.
Ed.D.
Other
Education
Education EdD
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Jääskeläinen, Petra Pauliina. "Conversation Analysis as a Design Research Method for Designing Socioculturally Contextual Conversational Agents". Thesis, Uppsala universitet, Människa-datorinteraktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414120.

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This research paper presents a study exploring if using the Conversational Analysis (CA) method in design research could result in designing more socioculturally contextual conversational agents. The research specifically focused on understanding the 1) effect on the design outcome and 2) the role in the design process. This was studied through practice-based design research, participant evaluation of the design outcome, and expert interviews on the design method. The findings were analysed both qualitatively and quantitatively and showed, that socioculturally contextual design could potentially be a data-rich field of study with connections to design concepts such as inclusive design, affective design, design ethics, increased user experience, and further studies are therefore recommended. Furthermore, the study provided an understanding of the contexts in which the CA method may be useful in design, how it can potentially impact the design, and how to apply it to the design process and showed a positive effect on the design outcome in terms of socioculturally contextual design.
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VELMOVITSKY, PEDRO ELKIND. "IBOT: AN AGENT-BASED SOFTWARE FRAMEWORK FOR CREATING DOMAIN CONVERSATIONAL AGENTS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35430@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Chatbots são programas de computador que interagem com usuários utilizando linguagem natural. Desde sua origem, a tecnologia avançou significantemente e aplicações baseadas na nuvem de grandes empresas permitiram que desenvolvedores criassem chatbots inteligentes e eficientes. No entanto, não há muitas abordagens de desenvolvimento aos principais módulos de um chatbot que são flexíveis o suficiente para permitir a criação de chatbots diferentes para cada domínio, mantendo um robusto controle de diálogo na aplicação. Existem trabalhos que tentam desenvolver uma abordagem mais flexível, cada um com suas vantagens e desvantagens. Uma das vantagens mais notáveis é o uso de sistemas multiagentes para distribuir e realizar tarefas feitas por chatbots. Nesse contexto, este trabalho propõe um framework geral e flexível baseado em sistemas multiagentes para construir chatbots em um domínio escolhido pelo desenvolvedor, com controle de diálogo na aplicação. Esta solução usa uma adaptação da abordagem de estado da informação, e agentes de software, para gestão do diálogo. Para validar a arquitetura proposta, um cenário de uso com 4 chatbots de prova de conceito são analisados e discutidos.
Chatbots are computer programs that interact with users using natural language. Since its inception, the technology has advanced greatly and cloud-based platforms from big companies allow developers to create intelligent and efficient chatbots. However, there are not many development approaches to the main modules of a chatbot that are flexible enough to allow the creation of different chatbots for each domain, while maintaining a robust dialogue control in the application. There have been some works that try to develop a more flexible approach, each of them with their own advantages and disadvantages. One of the most notable advantages is the use of multi-agent systems to distribute and perform the tasks performed by the chatbot. In this context, this work proposes a general and flexible architecture based on multi-agent systems for building chatbots in any domain chosen by the developer, with dialogue control in the application. This architecture uses an adaptation of the information state approach, also using software agents, to perform dialogue management. To validate the proposed architecture, an user scenario involving the implementation of 4 proof of concept chatbots is analyzed discussed.
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Lee, John Ray. "Conversations with an intelligent agent-- modeling and integrating patterns in communications among humans and agents". Diss., University of Iowa, 2006. http://ir.uiowa.edu/etd/61.

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Hijjawi, Moh'd Hatim Husni. "ArabChat : an Arabic conversational agent". Thesis, Manchester Metropolitan University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547403.

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This thesis details the development of a novel and practical Conversational Agent for the Arabic language called ArabChat. A conversational Agent is a computer program that attempts to simulate conversations between machine and human. In this thesis, the term 'conversation' or 'utterance' refers to real-time chat exchange between machine and human. The proposed framework for developing the Arabic Conversational Agent (ArabChat) is based on Pattern Matching approach to handle users' conversations. The Pattern Matching approach is based on the matching process between a user's utterance and pre-scripted patterns that represents different topics organised through novel scripting structure. ArabChat classifies users' utterances as either question or nonquestion utterances in order to response to an utterance depending on its type (question or non-question). In addition, ArabChat has the ability to reply to an utterance targets many topics at the same time. Moreover, this thesis proposes to use the stemming technique (a process to return a word to its original root) as a pre-processing stage in ArabChat in order to convert the processed utterance's words to stemmed words and then match them with stemmed pre-scripted patterns. This proposal might decrease the number of needed patterns to script a domain to the minimum as discussed in this thesis. Furthermore, two new Arabic stemmers have been proposed, developed and discussed in this thesis In order to assess ArabChat, different techniques have been developed and used to validate its performance. Three experiments with online users have been carried out. The results have shown that ArabChat is effective.
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Ly, Eric Thich Vi. "Chatter--a conversational telephone agent". Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/29067.

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Rystedt, Beata, i Mia Zdybek. "Conversational agent as kitchen assistant". Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230904.

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Chatbots, also called conversational agents, with speech interfaces are being used to a greater and greater extent, but there are still many areas that are not completely explored. The idea of this project was born out of the belief that there is a need for an assistant in the kitchen that is able to search for recipes, answer questions regarding them and guide and assist the user throughout the cooking process, all through conversation since the hands are busy. This paper begins with an introduction in the subject of conversational agents and the related technology, then similar, already existing studies and methods are presented with their pros and cons. After follows an in-depth explanation on how the program was constructed into a working kitchen assistant. Lastly, the users’ experiences of the performance and usability of the program was evaluated through tests and discussed. It turns out that conversational agents definitely can be integrated in the kitchen, and according to several sources, in a few years they will be implemented in all possible areas and change the technology of our time.
Konversationsrobotar med talgränssnitt används i allt större och större utsträckning men det finns fortfarande många områden som inte är helt utforskade. Idén till det här arbetet föddes ur uppfattningen att det existerar ett behov av en hjälpreda till köket som kan söka recept, svara på frågor kring receptet och vägleda och hjälpa användaren genom hela matlagningsprocessen i muntligt form eftersom händerna är upptagna med annat. Det här arbetet börjar med en introduktion i ämnet kring konversationsrobotar och tekniken bakom, sedan presenteras liknande arbeten och metoder som redan existerar inom området. Sedan följer en djupdykning i hur det framtagna programmet i detta arbete utvecklats fram till en fungerande matlagningsassisten. Till slut presenteras och diskuteras upplevelsen och användbarheten av konversationsroboten hos människor baserat på tester som gjorts. Det visar sig att konversationsrobotar mycket väl kan vara av användning i köket, och enligt flera källor kommer de att inom en snar framtid lavinartat implementeras i alla möjliga områden och förändra tekniken i vårt samhälle.
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Chaabi, Youness. "Apport des Systèmes Multi-Agent et de la logique floue pour l'assistance au tuteur dans une communauté d'apprentissage en ligne". Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0293/document.

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La place importante du tutorat dans la réussite d'un dispositif de formation en ligne a ouvert un nouvel axe de recherche dans le domaine des EIAH (Environnements Informatiques pour l'Apprentissage Humain). Nos travaux se situent plus particulièrement dans le champ de recherches des ACAO. Dans un contexte collaboratif, le tutorat et les outils « d'awareness » constituent des solutions admises pour faire face à l'isolement qui très souvent, mène à l'abandon de l'apprenant. Ainsi, du fait des difficultés rencontrées par le tuteur pour assurer un encadrement et un suivi appropriés à partir des traces de communication (en quantités conséquentes) laissées par les apprenants, nous proposons une approche multi-agents pour analyser les conversations textuelles asynchrones entre apprenants. Ces interactions sont révélatrices de comportements sociaux-animateur, indépendant, etc... qu'il nous paraît important de pouvoir repérer lors d'une pédagogie de projet pour permettre aux apprenants de situer leurs travaux par rapport aux autres apprenants et situer leur groupe par rapport aux autres groupes d'une part, et d'autre part permettre au tuteur d'accompagner les apprenants dans leur processus d'apprentissage, repérer et soutenir les individus en difficulté pour leur éviter l'abandon. Ces indicateurs seront déduits à partir des grands volumes d'échanges textuels entre apprenants.L'approche a été ensuite testée sur une situation réelle, qui a montré une parfaite concordance entre les résultatsobservés par des tuteurs humains et ceux déterminés automatiquement par notre système
The growing importance of online training has put emphasis on the role of remote tutoring. A whole new area of research, dedicated to environment for human learning (EHL), is emerging. We are concerned with this field. More specifically, we will focus on the monitoring of learners.The instrumentation and observation of learners activities by exploiting interaction traces in the EHL and the development of indicators can help tutors to monitor activities of learners and support them in their collaborative learning process. Indeed, in a learning situation, the teacher needs to observe the behavior of learners in order to build an idea about their involvement, preferences and learning styles so that he can adapt the proposed activities. As part of the automatic analysis of collaborative learner¿s activities, we describe a multi agent approach for supporting learning activities in a Virtual Learning Environment context. In order to assist teachers who monitor learning processes, viewed as a specific type of collaboration, the proposed system estimates a behavioral (sociological) profile for each student. This estimation is based on automatic analysis of students textual asynchronous conversations. The determined profiles are proposed to the teacher and may provide assistance toteacher during tutoring tasks. The system was experimented with students of the master "software quality" of the Ibn Tofail University. The results obtained show that the proposed approach is effective and gives satisfactory results
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Książki na temat "Conversation Agent"

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Conversations with my agent. New York: Dutton, 1997.

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Long, Rob. Conversations with my agent. London: Faber and Faber, 1996.

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Perez-Marin, Diana. Conversational agents and natural language interaction: Techniques and effective practices. Hershey, PA: Information Science Reference, 2011.

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Agents secrets: Le public dans la construction interactive de la représentation théâtrale. Uppsala, Sweden: Uppsala Universitet, 2002.

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Stivers, Tanya. Prescribing under pressure: Patient-physician conversations and antibiotics. New York, NY: Oxford University Press, 2007.

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Perfect phrases for real estate agents & brokers. New York: McGraw-Hill, 2009.

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Archer, Margaret S. Structure, Agency and the Internal Conversation. Cambridge University Press, 2003.

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Archer, Margaret S. Structure, Agency and the Internal Conversation. Cambridge University Press, 2003.

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Conversational Informatics: An Engineering Approach (Wiley Series in Agent Technology). Wiley, 2008.

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Communication in Multiagent Systems: Agent Communication Languages and Conversation Policies (Lecture Notes in Computer Science). Springer, 2003.

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Części książek na temat "Conversation Agent"

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Martin, Francisco J., Enric Plaza i Juan A. Rodríguez-Aguilar. "Conversation Protocols: Modeling and Implementing Conversations in Agent-Based Systems". W Issues in Agent Communication, 249–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_17.

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Phillips, Laurence R., i Hamilton E. Link. "The Role of Conversation Policy in Carrying Out Agent Conversations". W Issues in Agent Communication, 132–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_9.

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Oudeyer, Pierre-Yves, i Jean-Luc Koning. "Modeling Soccer-Robots Strategies through Conversation Policies". W Agent Systems, Mobile Agents, and Applications, 249–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-45347-5_20.

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Greaves, Mark, Heather Holmback i Jeffrey Bradshaw. "What Is a Conversation Policy?" W Issues in Agent Communication, 118–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_8.

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Jones, Andrew J. I., i Xavier Parent. "Conventional Signalling Acts and Conversation". W Advances in Agent Communication, 1–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24608-4_1.

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Barbuceanu, Mihai, i Wai-Kau Lo. "Conversation Oriented Programming for Agent Interaction". W Issues in Agent Communication, 220–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_15.

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Elio, Renée, i Afsaneh Haddadi. "On Abstract Models and Conversation Policies". W Issues in Agent Communication, 301–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_20.

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Cost, R. Scott, Ye Chen, Tim Finin, Yannis Labrou i Yun Peng. "Using Colored Petri Nets for Conversation Modeling". W Issues in Agent Communication, 178–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_12.

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Paurobally, Shamimabi, i Michael Wooldridge. "Joint Conversation Specification and Compliance". W Declarative Agent Languages and Technologies V, 18–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77564-5_2.

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Kuwabara, Kazuhiro, Yuya Shimode i Shohei Miyamoto. "Agent-Based Remote Conversation Support for People with Aphasia". W Agent and Multi-Agent Systems: Technologies and Applications, 371–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13480-7_39.

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Streszczenia konferencji na temat "Conversation Agent"

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Divekar, Rahul R., Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra i Hui Su. "Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/940.

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Streszczenie:
In a setting where two AI agents embodied as animated humanoid avatars are engaged in a conversation with one human and each other, we see two challenges. One, determination by the AI agents about which one of them is being addressed. Two, determination by the AI agents if they may/could/should speak at the end of a turn. In this work we bring these two challenges together and explore the participation of AI agents in multi-party conversations. Particularly, we show two embodied AI shopkeeper agents who sell similar items aiming to get the business of a user by competing with each other on the price. In this scenario, we solve the first challenge by using headpose (estimated by deep learning techniques) to determine who the user is talking to. For the second challenge we use deontic logic to model rules of a negotiation conversation.
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Fadnis, Kshitij, Nathaniel Mills, Jatin Ganhotra, Haggai Roitman, Gaurav Pandey, Doron Cohen, Yosi Mass i in. "Agent Assist through Conversation Analysis". W Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-demos.20.

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Zou, Shuai, Kento Kuzushima, Hironori Mitake i Shoichi Hasegawa. "Conversational Agent Learning Natural Gaze and Motion of Multi-Party Conversation from Example". W HAI '17: The Fifth International Conference on Human-Agent Interaction. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3125739.3132607.

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Karatas, Nihan, Shintaro Tamura, Momoko Fushiki i Michio Okada. "Multi-party Conversation of Driving Agents". W HAI '18: 6th International Conference on Human-Agent Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3284432.3284466.

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Stergiou, Christos, i Geert Arys. "Policy based agent management using conversation patterns". W the fifth international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375735.376290.

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Guo, Zixuan, i Tomoo Inoue. "Using a Conversational Agent to Facilitate Non-native Speaker's Active Participation in Conversation". W CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3313075.

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Kajio, Takuya, Ivan Tanev i Katsunori Shimohara. "Agent Mediated Communication for Creating Conversation-Based Community". W 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE). IEEE, 2011. http://dx.doi.org/10.1109/icbake.2011.57.

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Fischer, Felix, Michael Rovatsos i Gerhard Weiss. "Acquiring and adapting probabilistic models of agent conversation". W the fourth international joint conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1082473.1082490.

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El Haddad, Kevin. "Nonverbal conversation expressions processing for human-agent interactions". W 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2017. http://dx.doi.org/10.1109/acii.2017.8273663.

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Shiang, Cheah Wai, i Narayanan Kulaturamaiyer. "C-Selection: A mechanism for structuring software agent conversation". W Informatics (ICOCI). IEEE, 2006. http://dx.doi.org/10.1109/icoci.2006.5276491.

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Raporty organizacyjne na temat "Conversation Agent"

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Murray, William R., Michelle Sams, William H. DeSmedt i Donald Loritz. Mentor: Dialog Agent System for Mentoring and Conversational Role-Playing. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2001. http://dx.doi.org/10.21236/ada395194.

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Johnson, W. L. Dramatic Expression in Opera, and Its Implications for Conversational Agents. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2003. http://dx.doi.org/10.21236/ada462170.

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