AIML Knowledgebase


Notes:

  • a multi- domain model: an Open-Domain knowledge base which is converted from the AIML knowledge base and a Domain-Specific knowledge base which is the epidemic online document extracted by (Automated Knowledge Extraction Agent) AKEA
  • Cyc tags enable the composition of answers that are not present in the traditional AIML knowledge base
  • a geometric representation of knowledge: to get the association capability, the AIML knowledge base of each chat-bot is sub-symbolically coded in a semantic space generated by LSA
  • the chatbot CyberPoty used various elements described in the architecture following:: an AIML interpreter, the MySQL database, the AIML knowledge base, software Haptek, SAPI Windows
  • The AIML knowledge base is enriched with specific tags that allow the execution of CycL/SubL statements and Java modules created in order to enhance the analysis of user sentences and insert his preferences into the ontology
  • The semantic space of the EHeBby chat-bot evocative area has been created using 3835 funny sentences downloaded from internet one-liners repositories as well as the standard categories stored in the AIML knowledge base
  • Software, based on AIML, contains three important functional blocks: the user interface, AIML interpreter, and the AIML knowledge base
  • In 3-tier systems, its operating environments are classified into Front-End (User Interface), Back-End (Server Side) and Database (AIML knowledge base)
  • for each set of question and answer, XML2AIML inserts the elements that are part of the structure of a category to which the chatterbot can recognize and use these new questions and answers
  • FAQ text used to generate the AIML knowledge base
  • a feature is used in our pedagogical agent architecture to get the character to combine a previously compiled AIML knowledge base with a more dynamic representation of specific domain knowledge extracted from texts with the help of the text mining tool
  • the pedagogical agent created here can be adapted for any course since it is possible to increment its AIML knowledge base with information about any theme
  • The architecture is supported by ontologies, AIML knowledge base, agents, and information retrieval techniques

See also:

Artificial Intelligence Markup Language | Meta Guide Data Storage


Automatic update of AIML knowledge base in e-learning environment O De Pietro, M De Rose, G Frontera – Proceedings of Computers and …, 2005 – disced.unisa.it ABSTRACT In this paper, some automatic updating methodologies of the knowledge base present in an e-learning platform are described. In particular, the used knowledge base is managed by an Intelligent Agent called TutorBot, that directly interacts with the learners in … Cited by 10 Related articles Cite Save More

TutorBot: An Application AIML-based for Web-Learning O De Pietro, G Frontera – Advanced Technology for Learning, 2005 – actapress.com … The intelligent virtual tutor is more e?ective than peer-to-peer chatting or a community forum or static FAQ (Frequently Asked Questions) repository, because the com- putation, based on AIML knowledge base and inference rules, implements a semantic analysis of the user’s … Cited by 16 Related articles All 4 versions Cite Save

Building an AIML Chatter Bot Knowledge-Base Starting from a FAQ and a Glossary G De Gasperis – Journal of e-Learning and Knowledge Society, 2010 – je-lks.org … the user feel comfortable during information retrieval. The conversation is carried out by a chatter bot (Wikipedia, 2009) based on AIML knowledge-base and AIML interpreter (AIML, 2005). The knowledge-base (KB) of a chatter … Cited by 3 Related articles All 8 versions Cite Save

An evaluation of the chat and knowledge delivery components of a low-level dialog system: The AZ-ALICE experiment RP Schumaker, M Ginsburg, H Chen, Y Liu – Decision Support Systems, 2007 – Elsevier … how are you today?). The Chat Engine contains the AIML knowledge base and conducts simple pattern-matching from the user’s input to pre-defined AIML categories and then returns the corresponding response. In our AZ-ALICE … Cited by 14 Related articles All 15 versions Cite Save

An embodied conversational agent for intelligent web interaction on pandemic crisis communication OS Goh, CC Fung, KW Wong, A Depickere – … of the 2006 IEEE/WIC/ACM …, 2006 – dl.acm.org … the answer. The objective is to encourage the user to continue with the conversation. On the other hand, ALICE attempts to convince the user by generating randomly answer from AIML knowledge base. ALICE’s response does … Cited by 7 Related articles All 7 versions Cite Save

Domain knowledge model for embodied conversation agent OS Goh, CC Fung, A Depickere, KW Wong… – 2005 – researchrepository.murdoch.edu.au … In our architecture, we have implemented a multi- domain model: an Open-Domain knowledge base which is converted from the AIML knowledge base and a Domain-Specific knowledge base which is the epidemic online document extracted by (Automated Knowledge … Cited by 8 Related articles All 3 versions Cite Save

Maga: A mobile archaeological guide at agrigento A Augello, A Santangelo, S Sorce, G Pilato… – University of Palermo,* …, 2006 – hcilab.uniud.it … the rules inside the AIML categories. Fig. 1. The proposed system architecture The Cyc tags enable the composition of answers that are not present in the traditional AIML knowledge base. This feature allows to enhance the … Cited by 11 Related articles All 8 versions Cite Save More

Using chatbots for network management training through problem-based oriented education MD Leonhardt, L Tarouco, RM Vicari… – … , 2007. ICALT 2007. …, 2007 – ieeexplore.ieee.org … The AIML knowledge base is based on manual authoring and this enables ALICE to be used as the starting point of some projects [1, 5]. 3. The Dorothy ChatBot Figure 1 shows a detailed diagram of Dorothy´s architecture. The ChatBot used as base in this solution is ALICE. … Cited by 10 Related articles All 4 versions Cite Save

Can proactive behavior turn chatterbots into conversational agents? M L’Abbate, U Thiel, T Kamps – Intelligent Agent Technology, …, 2005 – ieeexplore.ieee.org … An AIML knowledge base consists of a set of categories (like the one shown in Figure 3. Every category contains a “pattern” section, defining a possible user input (wildcards such as the star can be used for allowing multiple matches) and a “template” section, containing a … Cited by 12 Related articles All 3 versions Cite Save

Expert chat-bots for cultural heritage. G Pilato, G Vassallo, A Augello, M Vasile… – Intelligenza …, 2005 – afs.enea.it … questions. The system is based on a geometric representation of knowledge: to get the asso- ciation capability, the AIML knowledge base of each chat-bot is sub-symbolically coded in a semantic space generated by LSA. Then … Cited by 7 Related articles All 7 versions Cite Save More

Developing a 3D Conversation Agent Talking About Online Courses M Alencar, J Netto – World Conference on Educational Multimedia, …, 2011 – editlib.org … Prototype The construction of the chatbot CyberPoty used various elements described in the architecture following:: an AIML interpreter, the MySQL database, the AIML knowledge base, software Haptek, SAPI Windows, as shown at Figure 1. … AIML Knowledge Base … Cited by 3 Related articles All 3 versions Cite Save

A virtual shopper customer assistant in pervasive environments A Santangelo, A Augello, S Sorce, G Pilato… – On the Move to …, 2007 – Springer … Interaction between Chat-bot and Ontology. The AIML knowledge base is enriched with specific tags that allow the execution of CycL/SubL statements and Java modules created in order to enhance the analysis of user sentences and insert his preferences into the ontology. … Cited by 6 Related articles All 4 versions Cite Save

Improving cooperation in Virtual Learning Environments using multi-agent systems and AIML M Alencar, JM Netto – Frontiers in Education Conference (FIE), …, 2011 – ieeexplore.ieee.org … The system is composed by intelligent agents, which act in a Moodle discussion forum using an AIML knowledge base. … Figure 1 shows MAS architecture, which is composed of: Moodle forum, MySQL Database, AIML interpreter, the AIML knowledge base, and intelligent agents. … Cited by 3 Related articles All 8 versions Cite Save

Query based intelligent web interaction with real world knowledge OS Goh, CC Fung, KW Wong – New Generation Computing, 2007 – Springer … an- swer. The objective is to encourage the user to continue with the conversation. On the other hand, ALICE attempts to convince the user by generating ran- domly answer from AIML knowledge base. ALICE’s response does … Cited by 5 Related articles All 7 versions Cite Save

EHeBby: An evocative humorist chat-bot G Pilato, A Augello, G Vassallo, S Gaglio – Mobile Information Systems, 2008 – IOS Press … for the evocation of humoristic sentences The semantic space of the EHeBby chat-bot evocative area has been created using 3835 funny sentences downloaded from internet one-liners repositories [28,29] as well as the standard categories stored in the AIML knowledge base. … Cited by 7 Related articles All 2 versions Cite Save

Implementing a Natural Language Conversational Interface for Indian Language Computing R Jindal, R Kumar, R Sahajpal, S Sofat… – IETE Technical …, 2004 – zincers.rohitkumar.net … IV. 1. 1. AIML Knowledge Base: The offline knowledge base of the system comprises of AIML files. The basic element of knowledge in these files is a Category. … IV. 3. Approaches to Build AIML Knowledge Base The first approach to building AIML Knowledge Base is Anticipatory. … Cited by 3 Related articles All 10 versions Cite Save More

Automatically extracting dialog models from conversation transcripts S Negi, S Joshi, A Chalamalla… – Data Mining, 2009. …, 2009 – ieeexplore.ieee.org … We codify the extracted sub-tasks in an AIML knowledge base and build a chatbot using this knowledge base. … This provides us the ability to encode the extracted task structure in an AIML knowledge base with very little supervision. … Cited by 4 Related articles All 6 versions Cite Save

Multimodal human-robot interaction with Chatterbot system: Extending AIML towards supporting embodied interactions JTC Tan, F Duan, T Inamura – Robotics and Biomimetics ( …, 2012 – ieeexplore.ieee.org … Each time when the Agent Controller receives a dialogue input, it can query the AIML Interpreter via cURL POST protocol. The interpreter will then pattern matching the input in the AIML Knowledge Base and returns the best matching response. … Cited by 3 Related articles All 2 versions Cite Save

Development of an Intelligent Answering Machine based on LMS Knowledge S Martín, E Sancristobal, R Gil, G Díaz… – International …, 2007 – icee2007.dei.uc.pt … Thanks to the conclusions obtained from these systems (Wikipedia, AIML, Knowledge Base) we know that if we are looking for a system able to find answers to a question, we will need a huge repository, containing hundreds of thousands answers which is easier to maintain. … Cited by 3 Related articles All 5 versions Cite Save More

A multimodal interaction guide for pervasive services access A Augello, A Santangelo, S Sorce… – Pervasive Services, …, 2007 – ieeexplore.ieee.org … inthe expression, enhancing the naturalness of the dialogue. traditional AIML knowledge base. This feature allows to The grammar has been built using XML Form from a set of enhance the chatbot knowledge in two ways: a … Cited by 4 Related articles All 2 versions Cite Save

A semantic layer on semi-structured data sources for intuitive chatbots A Augello, G Pilato, G Vassallo… – Complex, Intelligent and …, 2009 – ieeexplore.ieee.org … pedia resource. • sparql:select: executes a query into DBpedia. This feature allows, according to the rules of the template, the composition of answers that are not present in the traditional AIML knowledge base. The chatbot … Cited by 3 Related articles All 3 versions Cite Save

Mobile tutoring for situated learning and collaborative learning in AIML application using QR-Code O De Pietro, G Frontera – Complex, Intelligent and Software …, 2012 – ieeexplore.ieee.org … For example, if we wanted to receive information by TutorBot on a painting by Caravaggio in a label must encode information about the QR framework object according to TutorBot keywords used to arrive to a match in its AIML knowledge base. Figure 3. Caravaggio: the cheats. … Cited by 3 Related articles All 5 versions Cite Save

The design of interactive conversation agents OS Goh, CC Fung – WSEAS Transactions on …, 2008 – researchrepository.murdoch.edu.au Page 1. WSEAS TRANSACTIONS on Ong Sing Goh, Chung Che Fung INFORMATION SCIENCE & APPLICATIONS Manuscript received Dec. 5, 2007; revised May 7, 2008 The Design of Interactive Conversation Agents ONG … Cited by 3 Related articles All 5 versions Cite Save

The use of psycholinguistics rules in case of creating an intelligent chatterbot S Wiak, P Kosiorowski – Artifical Intelligence and Soft Computing, 2010 – Springer … One could see exemplary Graphic View (see Figure 1), used for Chatterbot knowledge base creation. Software, based on AIML, contains three important functional blocks: the user interface, AIML interpreter, and the AIML knowledge base. Page 4. … Cited by 1 Related articles All 3 versions Cite Save

When Your Users Are Not Serious R Rzepka, S Higuchi… – Transactions of …, 2010 – arakilab.media.eng.hokudai.ac.jp … 1027-1036, 1990. [De Pietro 05] M. De Pietro, M. De Rose, and G. Frontera(2005) Au- tomatic Update of AIML Knowledge Base in E-Learning Environ- ment, In Proceedings of Computers and Advanced Technology in Education. , Oranjestad, Aruba, August 29-31, 2005. … Cited by 2 Related articles All 6 versions Cite Save

A modular system oriented to the design of versatile knowledge bases for chatbots G Pilato, A Augello, S Gaglio – ISRN Artificial Intelligence, 2012 – hindawi.com … The main drawbacks of this approach are (a) the time-expensive designing process of the AIML Knowledge Base (KB), because it is necessary to consider all the possible user requests and (b) the dialogue management mechanism, which is too rigid. … Cited by 1 Related articles All 8 versions Cite Save More

An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project A Augello, G Pilato, A Machi… – … Computing (ICSC), 2012 …, 2012 – ieeexplore.ieee.org … The main drawbacks of this approach are: the time-expensive designing process of the AIML Knowledge Base (KB), be- cause it is necessary to consider the possible user requests, and the dialogue management mechanism, which is too rigid. … Cited by 1 Related articles All 3 versions Cite Save

Designing an intelligent dialogue system for serious games F Dernoncourt – 2012 – franckdernoncourt.com … (4):289–323. De Pietro, O., De Rose, M. and G. Frontera. 2005. Automatic Update of AIML Knowledge Base in E- Learning Environment. Proceedings of Computers and Advanced Technology in Education, Oranjestad, Aruba, August: 29–31. Charniak, E., McDermott, D. eds. … Cited by 1 Related articles All 9 versions Cite Save More

An Emotional Talking Head for a Humoristic Chatbot A Augello, O Gambino, V Cannella… – Applications of Digital …, 2011 – intechopen.com … 3.1 AIML KB The AIML knowledge base of our humorous conversational agent is composed of four kinds of AIML categories: 1. the standard set of ALICE categories, which are suited to manage a general conversation with the user; 2. a set of categories suited to generate … Cited by 1 Related articles All 7 versions Cite Save More

AIML Knowledge Base Construction from Text Corpora G De Gasperis, I Chiari, N Florio – Artificial Intelligence, Evolutionary …, 2013 – Springer Abstract Text mining (TM) and computational linguistics (CL) are computationally intensive fields where many tools are becoming available to study large text corpora and exploit the use of corpora for various purposes. In this chapter we will address the problem of … Related articles All 4 versions Cite Save

Creating and Implementing Conversational Agents KJ Luterbach – 2007 Annual Proceedings-Anaheim: Volume# 2 – ERIC … com/pandora/talk? botid= be1e1c203e36fe91 This example demonstrates that all conversational transactions in an AIML knowledge base appear within the < category>… pair of tags. Second, note that the asterisk (*) is a wildcard character that matches any input. … Related articles All 2 versions Cite Save More

An Intelligent Virtual Financial Advisor System (IVFAS) GO Sing, S Sahib, R Elangsegaran… – … Conference on Neural …, 2004 – actapress.com … 4. Methodology Basically IVFAS is running in a space so called as 3-tier environment. In 3-tier systems, its operating environments are classified into Front-End (User Interface), Back-End (Server Side) and Database (AIML knowledge base). … Related articles All 3 versions Cite Save

A Modular Framework for Versatile Conversational Agent Building A Augello, M Scriminaci, S Gaglio… – Complex, Intelligent and …, 2011 – ieeexplore.ieee.org … The set of Processors indicates which Processors have to be loaded; the set of support classes indicates which support services have to be loaded inside the core; the AIML rules files and the relative rules syntax are the elements of the AIML knowledge base; the list of service … Related articles All 4 versions Cite Save

Chapter 2: Chatbot Creation Options ML McNeal, D Newyear – Library Technology Reports, 2013 – ALA … One cannot look at an individual AIML category and know what input it will match. Writing code to distinguish between fine shades of meaning can be tricky, and the time required to maintain and debug an AIML knowledge base can be considerable. … Cite Save

Of the Use of Natural Dialogue to Hide MCQs in Serious Games F Dernoncourt – francky.me … DE PIETRO, O., M. DE ROSE et G. FRONTERA. (2005). Automatic Update of AIML Knowledge Base in E-Learning Environment. In Proceedings of Computers and Advanced Technology in Education., Oranjestad, Aruba, August (2005): 29–31. … Related articles All 9 versions Cite Save More

An Experiment with Multi-Agent System in Virtual Learning Environment MAS Alencar, JFM Netto – World Conference on Educational Multimedia, …, 2012 – editlib.org … Multiagent System Architecture Fig. 1. Multiagent System Architecture The architecture of the work (Figure 1) comprises the student, the distance tutor, the Moodle forum, the MySQL Database, the AIML interpreter, the AIML knowledge base and the MAS. … Related articles All 2 versions Cite Save

An Intelligent Robotic Engine Using Digital Repository of the DSpace Platform RL de Macedo, E Fusco – … 2014, The Sixth International Conference on …, 2014 – thinkmind.org … The questions and answers already concatenated with the information on the file are inserted automatically in the new AIML knowledge base; but, for each set of question and answer, XML2AIML inserts the elements that are part of the structure of a category to which the … Cite Save

Supporting problem-solving in Mathematics with a conversational agent capable of representing gifted students’ knowledge EVB Aguiar, LMR Tarouco… – System Sciences (HICSS …, 2014 – ieeexplore.ieee.org … of the right triangle trigonometry problem Therefore, in order for new problems to be solved by students who did not have the knowledge base and experiences of gifted students, a set of cases and respective solutions was coded into Blaze’s AIML knowledge base. … Cite Save

Virtual Laboratory for the Training of Health Workers in Italy A Gorrino, G De Gasperis – Distributed Computing and Artificial …, 2012 – Springer … In this experiment the input data set is referring to the conversational behavior of an elderly person in a typical private home context. In table 1 is reported a portion of the Italian FAQ text used to generate the AIML knowledge base. … Related articles All 4 versions Cite Save

Using synthetic agents in the teaching of algorithms: a behavioral analysis E das Chagas Lemos, AMC Campos… – tise.cl … be happy or sad. The That tag checks, then, which was posted earlier assertion to thereby determine what will be said soon after. The metadata is stored in AIML knowledge base in form:“!@ emotion?%*”. Is output to the end … Related articles Cite Save More

Using tags in an AIML-based chatterbot to improve its knowledge FA Mikic, JC Burguillo, A Peleteiro… – Computer …, 2012 – csci.iisg.agh.edu.pl … In our particular case, being based on AIML, the chatterbot follows the categories pattern previously presented. That is, the AIML knowledge base has the structure of a pattern-matching system and the categories of knowledge are stored there. … Related articles All 5 versions Cite Save More

An Experiment With Multi-Agent System In Virtual Learning Environment MA dos Santos Alencar, JF de Magalhães Netto – researchgate.net … Multiagent System Architecture Fig. 1. Multiagent System Architecture The architecture of the work (Figure 1) comprises the student, the distance tutor, the Moodle forum, the MySQL Database, the AIML interpreter, the AIML knowledge base and the MAS. … Related articles Cite Save More

UPoet: A 3D Agent Able to Compose Short Poems M Lamarca, F Zambetta, G Catucci… – Soft Computing: …, 2005 – Springer … The AIML knowledge base of the bot is composed of several categories. Here is an example of two categories in AIML: * Hello! Page 6. 264 M. Lamarca et al. Web Browser ALICE Server Engine … Related articles All 4 versions Cite Save

Chatbots as Interface to Ontologies A Augello, G Pilato, G Vassallo, S Gaglio – Advances onto the Internet of …, 2014 – Springer … Is possible to arrange all these information together, creating dynamically exhaus- tive answers, not present in the traditional AIML knowledge base. … The former is a rational area, made of the Cyc ontology and the standard AIML knowledge base of the chatbot. … Related articles All 2 versions Cite Save

A pedagogical agent which incorporates a text mining tool to promote collaborative writing I da Costa Pinho, E Reategui, AM Ribeiro, MD Finco – Learning – weblidi.info.unlp.edu.ar … Such a feature is used in our pedagogical agent architecture to get the character to combine a previously compiled AIML knowledge base with a more dynamic representation of specific domain knowledge extracted from texts with the help of the text mining tool. … Related articles All 5 versions Cite Save More

Implementing an online help desk system based on conversational agent A Kongthon, C Sangkeettrakarn, S Kongyoung… – Proceedings of the …, 2009 – dl.acm.org … the ACM, vol. 50, 2007, pp. 74-80. [3] OD Pietro, MD Rose, and G. Frontera, “Automatic Update of AIML Knowledge Base in E-Learning Environment,” Computers and Advanced Technology in Education, 2005. [4] OS Goh and … Related articles Cite Save

The use of text mining to build a pedagogical agent capable of mediating synchronous online discussions in the context of foreign language learning I da Costa Pinho, D Epstein… – Frontiers in …, 2013 – ieeexplore.ieee.org … response. It is worth mentioning that, by using such mechanism, the pedagogical agent created here can be adapted for any course since it is possible to increment its AIML knowledge base with information about any theme. … Related articles All 2 versions Cite Save

Knowledge acquisition, delivery and prediction through text mining RP Schumaker – 2007 – arizona.openrepository.com Page 1. KNOWLEDGE ACQUISITION, DELIVERY AND PREDICTION THROUGH TEXT MINING by Robert P. Schumaker A Dissertation Submitted to the Faculty of the COMMITTEE ON BUSINESS ADMINISTRATION In Partial Fulfillment of the Requirements For the Degree of … Related articles All 3 versions Cite Save

Feasibility report: Delivering case-study based learning using artificial intelligence and gaming technologies S Cresswell, M Prigmore – 2008 – eprints.hud.ac.uk … kinds of knowledge. There is no separation of knowledge about words, grammar, discourse, and the domain. The lack of structured knowledge in the implicit knowledge AIML ‘knowledge base’ is a problem. Many forms of knowledge … Cite Save

On the development of an interactive talking head system M Athanasopoulos, H Ugail… – Cyberworlds (CW), 2010 …, 2010 – ieeexplore.ieee.org … AIML 417 Page 5. contains a class of data objects called AIML objects and describes the behaviour of computer programs that process them. Various Alicebot clones have been created based upon the original implementation of the program and its AIML knowledge base [15]. … Related articles All 4 versions Cite Save

Design Dramaturgy: A Case Study in New Media, Humor and Artificial Intelligence. MM Meany, T Clark – Design Principles & Practice: An …, 2012 – search.ebscohost.com … broadest con- versation topics. The challenge in this project is to create two characters that are sufficiently different, each having a distinctive AIML knowledge base so that they appear as individual characters. However, this is … Cited by 1 Related articles All 2 versions Cite Save

Improve Web Information Quality Using Advance Searching Methodologies and Information Retrieval Techniques V Bhargava – 2011 – 61.16.156.122 … because most AIML interpreters are offered under a free or open source license, many “Alicebot clones” have been created based upon the original implementation of the program and its AIML knowledge base. Free AIML sets … Related articles Cite Save More

Context-based counselor agent for software development ecosystem T Shinozaki, Y Yamamoto, S Tsuruta – Computing, 2013 – Springer Page 1. Computing DOI 10.1007/s00607-013-0352-y Context-based counselor agent for software development ecosystem Tetsuo Shinozaki · Yukiko Yamamoto · Setsuo Tsuruta Received: 6 February 2013 / Accepted: 24 September 2013 © Springer-Verlag Wien 2013 … Cited by 1 Related articles Cite Save

On the development of a talking head system based on the use of PDE-based parametic surfaces M Athanasopoulos, H Ugail, GG Castro – Transactions on computational …, 2011 – Springer … Various Alicebot clones have been created based upon the original im- plementation of the program and its AIML knowledge base [18]. Some of these AIML interpretersare: – RebeccaAIML(C++, Java, .NET/C#, Python) – Program D(Java) – Program R(Ruby) – Program … Related articles All 5 versions Cite Save

Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents M Ptaszynski, P Dybala, S Higuhi, W Shi… – Web Intelligence and … – intechopen.com Page 1. Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents 173 Toward Conver Michal Araki X Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents … Cited by 1 Related articles All 4 versions Cite Save More

Uma Estratégia Híbrida Combinando Sistemas Multiagente e AIML para Apoiar Fóruns de Discussão de Ambientes Virtuais de Aprendizagem MAS Alencar… – Anais do Simpósio …, 2010 – ceie-sbc.tempsite.ws … Abstract. This article describes the use of a multi-agent system using an AIML knowledge base in a virtual learning environment. This system helps students and tutors through a discussion forum, solving doubts about the course and Moodle tools. … Cited by 1 Related articles All 6 versions Cite Save

Um sistema inteligente baseado em ontologia para apoio ao esclarecimento de dúvidas MTCF de Amorim, D Cury, CS Menezes – Anais do Simpósio Brasileiro de …, 2011 – br-ie.org … {martatcfa, dedecury, credine}@gmail.com Abstract. This paper presents an architecture of a system designed to allow questions and answers automatically. The architecture is supported by ontologies, AIML knowledge base, agents, and information retrieval techniques. … Cited by 2 Related articles All 7 versions Cite Save

Tecnologías de búsqueda aplicadas a plataformas de enseñanza: Mejorando la experiencia educativa S Martín, R Gil, A Colmenar, M Castro, J Peire – ribiecol.org … 4. UNIENDO SOLUCIONES: BUSCADORES ACCEDIENDO A LA INFORMACIÓN DISPONIBLE EN OTROS SISTEMAS Gracias a las conclusiones obtenidas de estos sistemas (Wikipedia, AIML, Knowledge Base) sabemos que si estamos buscando un sistema capaz de … Related articles All 5 versions Cite Save More

Les systèmes de dialogues dans les jeux sérieux: une approche de génération de répliques basée sur la reconnaissance des intentions M Miled – Conférence EIAH 2011 (Environnements …, 2011 – halshs.archives-ouvertes.fr … [DE PIETRO et al. 2005] De Pietro, O., M. De Rose, and G. Frontera. “Automatic Update of AIML Knowledge Base in E-Learning Environment.” Proceedings of Computers and Advanced Technology in Education., Oranjestad, Aruba, August (2005): 29–31. [FONTE et al. … Related articles All 3 versions Cite Save

Conception d’un système de dialogue intelligent pour jeux sérieux F Dernoncourt – RJC EIAH’2012 – ai-faq.com … (4):289–323. De Pietro, O., De Rose, M. and G. Frontera. 2005. Automatic Update of AIML Knowledge Base in E- Learning Environment. Proceedings of Computers and Advanced Technology in Education, Oranjestad, Aruba, August: 29–31. Charniak, E., McDermott, D. eds. … Related articles All 9 versions Cite Save More

De l’utilisation du dialogue naturel pour masquer les QCM au sein des jeux sérieux F Dernoncourt – aclweb.org … DE PIETRO, O., M. DE ROSE et G. FRONTERA. (2005). Automatic Update of AIML Knowledge Base in E-Learning Environment. In Proceedings of Computers and Advanced Technology in Education., Oranjestad, Aruba, August (2005): 29–31. … All 16 versions Cite Save More

Believable conversational agents for teaching ancient history and culture in 3D virtual worlds K Ijaz – 2011 – epress.lib.uts.edu.au Page 1. University of Technology Sydney Believable Conversational Agents for Teaching Ancient History and Culture in 3D Virtual Worlds A thesis submitted for the degree of Master of Science in Computing Science by Kiran Ijaz Sydney, Australia 2011 Page 2. … Related articles Cite Save

Une approchecentrée enseignant basée sur les patrons pour la scénarisation pédagogique JP Clayer – RJC EIAH’2012 – eiah.mis.u-picardie.fr Page 146. 4ièmes Rencontres Jeunes Chercheurs en EIAH 21 Résumé Les attentes de la société et les technologies évoluent. Ces évolutions changent l’enseignement en profondeur. Les enseignants et formateurs doivent organiser et formaliser leurs pratiques. … Related articles All 2 versions Cite Save More