Architecture of a Framework for Generic Assisting Conversational Agents

Sansonnet, Jean-Paul; Leray, David; Martin, Jean‐Claude

doi:10.1007/11821830_12

Cited by 39 publications

(18 citation statements)

References 14 publications

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“…Ly Pichponreay et al [20] descri development of information and communication technology, people are very diverse in education, learning style, and knowledge improvement methods. This paper presents an approach of converting documents into knowledge of Chatbot system th enables users to make more benefits of it by asking and answering questions through the use of electronic documents integrated with simulate system.…”

Section: Aug 2018mentioning

confidence: 99%

Namah Subjective and Objective Aspects of Conversational Agent

Sharma¹,

Sharma²,

Rana³

2018

IJTSRD

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Namah subjective and objective aspects of conversational agents focuses on the design and evaluation of Chatbot, a conversational agent for Natural Language Processing in An Android Application featuring a high number of different, unique characteristics: context dependent information, an support for different kind of dialogue chat, specific and general question answering, task oriented dialogues. The agent has currently implementations: as mobile phone application. ChatBot is an application that helps users and agents communicate easily with each other. It helps in maintaining a direct connection between users and agents. However, before this application, users get so many problems in getting their answers from the agent. The market is a communicative agent. There is no proper work done either. The user has to give name and email address so that they can get the answer to their question and then the user gets the answer of their query after 24 hour via mail. And the information users want are either given from Google or given a link to it. so this conversationa easy to use. The query that the user put it will be given the correct answer to the same time or at a time. No matter how many people are logged into the questions, they will automatically get all the answers at the same time. We have set up a data set. Currently built for a one domain, we can work on this Multiplayer domain. The paper describes the modules and resources required for running the agent on both interfaces, as well as the evaluation results obtained from two assessment studies conc interaction design of these two agent interfaces. The feedback gathered from the studies will enable us to improve the applications in terms of service, performance and usability. @ IJTSRD | Available Online @ www.ijtsrd.com | Volume -2 | Issue -5 |

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Section: Aug 2018mentioning

confidence: 99%

Namah Subjective and Objective Aspects of Conversational Agent

Sharma¹,

Sharma²,

Rana³

2018

IJTSRD

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“…With this objective in mind, from previous work on assistant agents [6,52,57], we have come to propose a conceptual framework dedicated to the computational study of the nature of the relationships between the rational and the psychological capacities of an agent [53]: namely, the R&B architecture (standing for rational and behavioral, 1 where behavioral refers exclusively to psychological behaviors). R&B is a generic framework enabling the computational definition and experimentation of various hypotheses that researchers may bring forth about the relationships between rational reasoning and psychological reasoning.…”

Section: Contextmentioning

confidence: 99%

Influence of FFM/NEO PI-R personality traits on the rational process of autonomous agents

Bouchet

Sansonnet

2013

Web Intelligence and Agent Systems: An International Journal

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In this paper, we present an approach based on the principle that psychological capacities, especially personality traits, influence the decision making process of rational agents. Using a three-level (trait, facet, scheme) extension of the FFM/NEO PI-R taxonomy facilitating its computational implementation, we propose a model for the expression of personality traits in terms of so-called influence operators that add meta control rules to the cycle of rational BDI agents. We distinguish eight different classes of influence operators, depending on the step of the deliberation cycle that they influence and on the operand to which they are applied (goals, actions, plans or functions). Concrete examples are provided through a complete definition of the operators necessary to express one of the personality traits of the Five Factor Model, Conscientiousness, resulting in a set of 30 operators. Finally, we discuss the way to design a specific character through the use of an activation matrix, providing values for each scheme and operator.Keywords: Agent cognitive modeling, computational personality, personality traits, rational and psychological agents 1

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“…After many decades, much improvement has been made over ELIZA to augment the realism and complexity of chatting agents. Sansonnet et al [12] propose a conversation agent architecture that emphasizes the requirement for domain-independent operation to maintain genericity. Galvão, et al [13] present Persona-AIML, which gives personality to agents based on the Artificial Intelligence Markup Language [14].…”

Section: Dialog System Designmentioning

confidence: 99%