Filters








383 Hits in 3.5 sec

How to Win Arguments

Klaus Weber, Niklas Rach, Wolfgang Minker, Elisabeth André
2020 Datenbank-Spektrum  
People make decisions every day or form an opinion based on persuasion processes, whether through advertising, planning leisure activities with friends or public speeches.  ...  The agents are able to adapt their emotions based on explicit feedback of the users to increase their perceived persuasiveness during interaction using Reinforcement Learning.  ...  Acknowledgements This work has been funded by the Deutsche Forschungsgemeinschaft (DFG) within the project "How to Win Arguments -Empowering Virtual Agents to Improve their Persuasiveness", Grant Number  ... 
doi:10.1007/s13222-020-00345-9 fatcat:27l4fbeyl5eqbopma5zfknl7em

Towards an Argumentative Dialogue System

Niklas Rach, Wolfgang Minker, Stefan Ultes
2017 International Conference on Artificial Intelligence and Law  
In this work we propose a scheme for an Argumentative Dialogue System that allows a user to discuss a certain topic with a virtual agent using natural language.  ...  CCS CONCEPTS • Computing methodologies → Natural language processing; Discourse, dialogue and pragmatics; Machine learning approaches; Stochastic games;  ...  We proposed an approach for optimizing the agent policy by employing the formalism of Stochastic Games.  ... 
dblp:conf/icail/RachMU17 fatcat:afh2drb4yfaincjnocvoe6ytqa

Towards a framework for computational persuasion with applications in behaviour change1

Anthony Hunter
2018 Argument & Computation  
Computational persuasion is the study of formal models of dialogues involving arguments and counterarguments, of user models, and strategies, for APSs.  ...  The aim of persuasion is for the persuader to change the mind of the persuadee.  ...  Acknowledgements I am grateful to the anonymous reviewers for helpful feedback for improving the paper. This research is part-funded by EPSRC grant EP/N008294/1 Framework for Computational Persuasion.  ... 
doi:10.3233/aac-170032 fatcat:zkqtnvlp65f5ve4z4w3cvcgkvi

Team Persuasion [chapter]

David Kohan Marzagão, Josh Murphy, Anthony P. Young, Marcelo Matheus Gauy, Michael Luck, Peter McBurney, Elizabeth Black
2018 Lecture Notes in Computer Science  
The dynamics are based on flag coordination games: in each round, each agent decides whether to assert its argument based on local knowledge.  ...  We derive an analytical expression for the probability of either team winning given the initially asserted arguments, where in each round, each agent probabilistically decides whether to assert or withdraw  ...  Introduction Argument-based persuasion dialogues provide an effective mechanism for agents to communicate their beliefs and reasoning in order to convince other agents of some central topic argument [  ... 
doi:10.1007/978-3-319-75553-3_12 fatcat:kg6yo4vdgjavtiaxgi3xeargom

Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System [chapter]

Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
2015 Natural Language Dialog Systems and Intelligent Assistants  
In our previous works, we created a dialogue management module for cooperative persuasive dialogue [1] , but only evaluated it in a wizard-of-Oz setting, as we did not have the capacity for natural language  ...  This tendency is almost the same as our previous evaluation using a wizard-of-Oz framework [1] demonstrating that the proposed NLU and NLG modules are effective for cooperative persuasive dialogue.  ...  Persuasive dialogue corpus The cooperative persuasive dialogue corpus [8] consists of dialogues between a salesperson (persuader) and customer (persuadee) as a typical example of persuasive dialogue.  ... 
doi:10.1007/978-3-319-19291-8_15 fatcat:adzjgw5zzvfcjlmpm5hsgjglqi

Applying Psychology of Persuasion to Conversational Agents through Reinforcement Learning: an Exploratory Study

Francesca Di Massimo, Valentina Carfora, Patrizia Catellani, Marco Piastra
2019 Italian Conference on Computational Linguistics  
Such integration is expected to accelerate the training phase and improve the quality of the dialogue obtained.  ...  The aim is to explore the possibility to overcome the typical end-to-end training approach through the integration of a quantitative model developed in the field of persuasion psychology.  ...  Acknowledgments The authors are grateful to Cristiano Chesi of IUSS Pavia for his revision of an earlier version of the paper and his precious remarks.  ... 
dblp:conf/clic-it/MassimoCCP19 fatcat:wmvmtbnskfaozgn525gleq627u

Persuasive Teachable Agent for Intergenerational Learning [article]

Su Fang Lim
2016 arXiv   pre-print
In this book, we have proposed the Persuasive Teachable Agent (PTA), a teachable agent based on the theoretical framework of persuasion, computational and goal-oriented agent modelling.  ...  We argue that the PTA, an autonomous agent, capable of encouraging attitude and behavioural change can offer a more meaningful and engaging learning experiences for learners from different age groups.  ...  These dialogue events are created in the dialogue system in the Unity 3D game engine using the SequencerCommand script. Both learner player and the NPCs dialogues can be setup in the dialogue system.  ... 
arXiv:1601.07264v1 fatcat:uqgqwbvhbja63fgxi3zz5daori

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing

Xuanchen Xiang, Simon Foo
2021 Machine Learning and Knowledge Extraction  
In this overview, we introduce Markov Decision Processes (MDP) problems and Reinforcement Learning and applications of DRL for solving POMDP problems in games, robotics, and natural language processing  ...  The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems  ...  To evaluate persuasion strategies and negotiation dialogue, Keizer et al. [189] presented a comparative evaluation of various negotiation strategies on the game "Settlers of Catan" online.  ... 
doi:10.3390/make3030029 fatcat:u3y7bqkoljac5not2eq5konnnm

Empirical Methods for Modelling Persuadees in Dialogical Argumentation

Anthony Hunter, Sylwia Polberg
2017 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)  
For a participant to play persuasive arguments in a dialogue, s/he may create a model of the other participants.  ...  In this paper, we consider how we can crowd-source opinions on the believability, convincingness, and appeal of arguments, and how we can use this information to predict opinions for specific participants  ...  A dialogue is a sequence of moves where the possible moves at each step of the dialogue This research is funded by EPSRC Project EP/N008294/1 "Framework for Computational Persuasion". depend on a protocol  ... 
doi:10.1109/ictai.2017.00066 dblp:conf/ictai/HunterP17 fatcat:khamj7jm55faferlypk2efy5ca

Automatic Discovery of Speech Act Categories in Educational Games

Vasile Rus, Arthur C. Graesser, Cristian Moldovan, Nobal B. Niraula
2012 Educational Data Mining  
In this paper we address the important task of automated discovery of speech act categories in dialogue-based, multi-party educational games.  ...  Experiments were conducted on three datasets from three online educational games.  ...  This research was supported in part by Institute for Education Sciences under awards R305A100875 and by the National Science Foundation awards #0904909 and NSF#0918409.  ... 
dblp:conf/edm/RusGMN12 fatcat:d2r2v4ofzzclvb7vmds7ajigzy

A Survey of Available Corpora for Building Data-Driven Dialogue Systems [article]

Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau
2017 arXiv   pre-print
To facilitate research in this area, we have carried out a wide survey of publicly available datasets suitable for data-driven learning of dialogue systems.  ...  We also examine methods for transfer learning between datasets and the use of external knowledge. Finally, we discuss appropriate choice of evaluation metrics for the learning objective.  ...  The authors also thank Nissan Pow, Michael Noseworthy, Chia-Wei Liu, Gabriel Forgues, Alessandro Sordoni, Yoshua Bengio and Aaron Courville for helpful discussions.  ... 
arXiv:1512.05742v3 fatcat:lh34cnbvefcfxp2qwxfyiuuwhm

Changing Environmental Behaviors through Smartphone-Based Augmented Experiences [chapter]

Bruno Santos, Teresa Romão, A. Eduardo Dias, Pedro Centieiro, Bárbara Teixeira
2012 Lecture Notes in Computer Science  
Abstract The use of persuasive technologies can induce changes in attitudes or behaviours, even in individuals that other strategies of persuasion can not reach effectively.  ...  For the support showed on my college journey, I owe my thanks to my parents who stood by my side even in the worst moments, and also to my better half (Marlene Vieira) for always being there getting me  ...  The hidden Markov model is used to separate target vehicles from the background and track them probabilistically.  ... 
doi:10.1007/978-3-642-34292-9_57 fatcat:nwbhc4q62rc2vdhqb4q323c6py

Intelligent Tutoring System Authoring Tools

Carol Luckhardt Redfield
1998 The AI Magazine  
partner in software games and service robotics.  ...  The extensions included accounts of dialogue phenomena other than classical illocutionary acts, such as turn taking, feedback, problem solving, and persuasion as well as the importance of social phenomena  ... 
dblp:journals/aim/Redfield98 fatcat:ktszv4wzufcljiiyzaaoap5ogi

Data-Driven Dialogue Systems for Social Agents [chapter]

Kevin K. Bowden, Shereen Oraby, Amita Misra, Jiaqi Wu, Stephanie Lukin, Marilyn Walker
2018 Lecture Notes in Electrical Engineering  
To facilitate research in this area, we have carried out a wide survey of publicly available datasets suitable for data-driven learning of dialogue systems.  ...  We also examine methods for transfer learning between datasets and the use of external knowledge. Finally, we discuss appropriate choices of evaluation metrics for the learning objective.  ...  The authors also thank Nissan Pow, Michael Noseworthy, Chia-Wei Liu, Gabriel Forgues, Alessandro Sordoni, Yoshua Bengio and Aaron Courville for helpful discussions.  ... 
doi:10.1007/978-3-319-92108-2_6 fatcat:nrqzpujukreojdkkusbzy4uniy

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents [article]

Shrimai Prabhumoye and Margaret Li and Jack Urbanek and Emily Dinan and Douwe Kiela and Jason Weston and Arthur Szlam
2020 arXiv   pre-print
Humans effortlessly combine the two, for example engaging in chit-chat with the goal of exchanging information or eliciting a specific response.  ...  Dialogue research tends to distinguish between chit-chat and goal-oriented tasks.  ...  .), see Appendix B for a full list of game actions.  ... 
arXiv:2002.02878v2 fatcat:vety7yqiffhgzpiftj6xfmb6eq
« Previous Showing results 1 — 15 out of 383 results