The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
FAtiMA Modular: Towards an Agent Architecture with a Generic Appraisal Framework
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Based on this theory, the FAtiMA architecture offers a generic appraisal framework where a set of different basic emotions and the coping behaviors can be generated according to a set of goals, preferences and action tendencies predefined for a virtual agent.”
From Usability and acceptability assessment of an empathic virtual agent to prevent major depression (2016) · cites this paper as Dias, et al., 2014
Citations
Cites
The Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (1988) · doi:10.1017/cbo9780511571299 · Cited by 6,208
Appraisal Processes in Emotion: Theory, Methods, Research
(2001) · doi:10.1093/oso/9780195130072.001.0001 · Cited by 2,384
Appraisal processes in emotion: Theory, methods, research.
Scherer, K. R., Schorr, A., & Johnstone, T. (2001) · Cited by 1,896
Appraisals of emotion-eliciting events: Testing a theory of discrete emotions.
Roseman, I. J., Spindel, M. S., & Jose, P. E. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.59.5.899 · Cited by 827
EMA: A process model of appraisal dynamics
Marsella, S. C., & Gratch, J. (2009) · Cognitive Systems Research · doi:10.1016/j.cogsys.2008.03.005 · Cited by 452 · cited 6×
“To do so, EMA uses a representation built on the causal representations created by decision-theoretic planning, which are capable of easily capturing concepts such as utility and probability that can be directly translated to appraisal variables such as desirability and likelihood.”
MethodInfluentialThe Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108934053 · Cited by 376
Computational models of emotion
Marsella, Gratch, & Petta (2010) · Cited by 264
Feeling and Reasoning: A Computational Model for Emotional Characters
Dias, J., & Paiva, A. (2005) · Lecture notes in computer science · doi:10.1007/11595014_13 · Cited by 220
Self-citationLEARNING BY FEELING: EVOKING EMPATHY WITH SYNTHETIC CHARACTERS
Paiva, A., Dias, J., Sobral, D., Aylett, R. S., Woods, S. N., Hall, L. E., & Zoll, C. (2005) · Applied Artificial Intelligence · doi:10.1080/08839510590910165 · Cited by 196
Self-citationBut that was in another country: agents and intercultural empathy
Aylett, R. S., Vannini, N., Andre, E., Paiva, A., Enz, S., & Hall, L. E. (2009) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/sydr1524 · Cited by 106
Self-citation
Research works printed but not linked: 1
- Lazarus, R.S.: Psychological Stress and the Coping Processes. McGraw Hill, New York (1966)
Cited by
Sorted by citations
Items 101–200 of 210
Mind as a Service: Building Socially Intelligent Agents
Dignum, V. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-42691-4_7 · Cited by 5
Adaptation of a model of emotion regulation to modulate the negative emotions based on persistency
Bouazza, H., & Bendella, F. (2017) · Multiagent and Grid Systems · doi:10.3233/mgs-170259 · Cited by 5
Eliciting Positive Emotional Impact in Dialogue Response Selection
Lubis, N., Sakti, S., Yoshino, K., & Nakamura, S. (2018) · Lecture notes in electrical engineering · doi:10.1007/978-3-319-92108-2_15 · Cited by 4
For The Record - A Public Goods Game For Exploring Human-Robot Collaboration
(2019) · Adaptive Agents and Multi-Agents Systems · Cited by 4
The Design and Development of a Goal-Oriented Framework for Emotional Virtual Humans
Roohi, S., & Skarbez, R. (2022) · IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) · doi:10.1109/aivr56993.2022.00027 · Cited by 4
López, L., & Giovanini, L. (2025) · Physica D Nonlinear Phenomena · doi:10.1016/j.physd.2025.134530 · Cited by 4
Lie to Me: Lying Virtual Agents
Inform, E. (2012) · Cited by 4
Emotional sharing behavior for a social robot in a competitive setting
Petisca, S., Dias, J., Alves‐Oliveira, P., & Paiva, A. (2016) · IEEE RO-MAN · doi:10.1109/roman.2016.7745200 · Cited by 4
Self-citationLeveraging Adaptive Sessions Based on Therapeutic Empathy Through a Virtual Agent
Bresó, A., Martı́nez-Miranda, J., & Garcia-Gomez, J. M. (2016) · Cited by 5
Gaudl, S. E., & Bryson, J. J. (2018) · Cognitive Systems Research · doi:10.1016/j.cogsys.2018.02.001 · Cited by 4
Computational Models of Consciousness-Emotion Interactions in Social Robotics: Conceptual Framework
Szczepanowski, R., Gakis, M., Arent, K., & Sobecki, J. F. (2018) · InTech eBooks · doi:10.5772/intechopen.72369 · Cited by 4
Ranjbartabar, H., Richards, D., Kutay, C., & Mascarenhas, S. F. (2018) · Journal of the Association for Information Systems · Cited by 4
Self-citationPersonality-Based Cognitive Design of Characters in Virtual Environments
Saberi, M. (2016) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-5225-0454-2.ch005 · Cited by 4
Delamarre, A., Buche, C., & Lisetti, C. (2019) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3308532.3329419 · Cited by 4
Towards Social Identity in Socio-Cognitive Agents
Rato, D., & Prada, R. (2021) · Sustainability · doi:10.3390/su132011390 · Cited by 4
Mascarenhas, S. F., Guimarães, M., Santos, P. A., Dias, J., Prada, R., & Paiva, A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.03020 · Cited by 4
Self-citationCulturally Appropriate Behavior in Virtual Agents: A Review
AlSaleh, M., & Romano, D. M. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · doi:10.1609/aiide.v11i4.12843 · Cited by 3
Correia, F., Chandra, S., Mascarenhas, S. F., Charles-Nicolas, J., Gally, J., Lopes, D., Santos, F. C., Santos, F. C., Melo, F. S., & Paiva, A. (2019) · IEEE RO-MAN · doi:10.1109/ro-man46459.2019.8956324 · Cited by 5
Self-citationA behaviorist agent model for the simulation of the human behavior
Chaher, H., Rejeb, L., & Saïd, L. B. (2020) · International Multi-Conference on Organization of Knowledge and Advanced Technologies (OCTA) · doi:10.1109/octa49274.2020.9151655 · Cited by 3
ExpReal: a Writing Language and System for Authoring Texts in Interactive Narrative
Szilas, N., de Jong, R., & Theune, M. (2020) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3402942.3402949 · Cited by 3
Aplib: Tactical Agents for Testing Computer Games
Prasetya, I. S. W. B., Dastani, M. M., Prada, R., Vos, T. E. J., Dignum, F. P. M., & Kifetew, F. M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-66534-0_2 · Cited by 3
On the Pertinence of Social Practices for Social Robotics
Clodic, A., Vázquez-Salceda, J., Dignum, F. P. M., Samuel, M., Dignum, V., Augello, A., Gentile, M., & Alami, R. (2018) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-61499-931-7-63 · Cited by 3
Social Value Orientation and Integral Emotions in Multi-Agent Systems
Collins, D. E., Houghton, C. J., & Ajmeri, N. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-49133-7_7 · Cited by 3
A virtual suspect agent’s response model
Bruijnes, M., Wapperom, S., den Akker, H. J. A. O., & Heylen, D. (2014) · University of Twente Research Information · Cited by 3
Automatic Annotation of Characters’ Emotions in Stories
Lombardo, V., Damiano, R., Cristina Battaglino, A., & Pizzo, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-27036-4_11 · Cited by 3
Guimarães, M., Santos, P. A., & Jhala, A. H. (2017) · Adaptive Agents and Multi-Agents Systems · doi:10.5555/3091125.3091441 · Cited by 3
Teaching an Australian Aboriginal Knowledge Sharing Process
Kutay, C. (2017) · Intelligent systems reference library · doi:10.1007/978-3-319-67024-9_4 · Cited by 3
Moral Values in Narrative Characters: An Experiment in the Generation of Moral Emotions
Cristina Battaglino, A., Damiano, R., & Lombardo, V. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-12337-0_23 · Cited by 3
Gaudl, S. E. (2016) · The University of Bath Online Publications Store (The University of Bath) · Cited by 4
EEGS: A Transparent Model of EmotionsPreprint
Ojha, S., Vitale, J., & Williams, M.-A. (2020) · arXiv.org · doi:10.48550/arxiv.2011.02573 · Cited by 4
Pérez, J., Cerezo, E., & Arbeloa, F. J. S. (2016) · doi:10.1145/3005338.3005340 · Cited by 2
Schiffer, S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · doi:10.1609/aiide.v15i1.5252 · Cited by 2
Green, C. P., Holmquist, L. E., & Gibson, S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-62516-0_8 · Cited by 2
Gamkrelidze, T., Chaumon, M.-É. B., & Cuvillier, B. (2020) · Pratiques Psychologiques · doi:10.1016/j.prps.2020.11.001 · Cited by 2
Pico, A., Taverner, J., Vivancos, E., Botti, V. J., & García‐Fornes, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-37616-0_22 · Cited by 2
Fayaz, F. A., Malik, A., Batra, I., & Ansarullah, S. I. (2024) · SN Computer Science · doi:10.1007/s42979-024-02762-z · Cited by 2
Integrating Personality and Mood with Agent Emotions
Ojha, S., Vitale, J., Raza, S. A., Billingsley, R., & Williams, M. (2019) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/szli4724 · Cited by 2
A model for socially intelligent merchants
Oliveira, M., & Santos, P. A. (2019) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3337722.3337729 · Cited by 2
A behavior model for improving realism in a VR team sport
Jain, N., Mishra, N., & Magnenat‐Thalmann, N. (2021) · IEEE RO-MAN · doi:10.1109/ro-man50785.2021.9515443 · Cited by 2
Cristina Battaglino, A., Damiano, R., & Dias, J. (2016) · Cited by 2
Self-citationPerception simulation in social planning for emergent storytelling
Carvalho, D. B., Clua, E., & Paes, A. (2015) · IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2015.7317922 · Cited by 2
One Person's Culture is Another One's Entertainment
Kutay, C. (2014) · Australasian Conference On Interactive Entertainment · doi:10.1145/2677758.2677793 · Cited by 2
Traveller: An Intercultural Training System with Intelligent Agents (Demonstration)
Mascarenhas, S. F., Silva, A., Paiva, A., Aylett, R. S., Kistler, F., André, E., Degens, N., Hofstede, G. J., & Kappas, A. (2013) · Cited by 2
Self-citationAn Interdisciplinary Approach for a Holistic and Embodied Emotion Model in Humanoid Agents.
Schaat, S., Huber, M., Doblhammer, K., & Dietrich, D. (2014) · Cited by 2
How Avatars in Care Context Should Show Affect
Fagel, S., Moussa, M. B., & Cereghetti, D. M. (2016) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/eai.16-5-2016.2264514 · Cited by 2
Prom week meets Skyrim: Developing a social agent architecture in a commercial game
Guimarães, M., Santos, P. A., & Jhala, A. H. (2017) · DSpace (Open University in the Netherlands) · Cited by 2
How RU? Finding Out When to Help Students
Ranjbartabar, H., Richards, D., & Kutay, C. (2017) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-319-69835-9_53 · Cited by 2
Emotional Dynamics and Coping Mechanisms to Generate Human-Like Agent Behaviors
Belhaj, M., Kebair, F., & Saïd, L. B. (2017) · Applied Artificial Intelligence · doi:10.1080/08839514.2017.1378166 · Cited by 2
Mood and Personality Influence on Emotion
Djara, T., Ousmane, A. M., & Vianou, A. C. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-05198-3_15 · Cited by 2
Representing Game Dialogue as Expressions in First-Order Logic
Wheeler, K. F. (2013) · Scholarship@Western (Western University) · Cited by 2
Non-Player Characters and Artificial Intelligence
Pereira, G., Brisson, A., Dias, J., Carvalho, A. L. D. C., Dimas, J., Mascarenhas, S. F., Campos, J., Vala, M., Leite, I., Martinho, C., et al. (2013) · Advances in game-based learning book series · doi:10.4018/978-1-4666-4773-2.ch007 · Cited by 2
Self-citationSarah the Virtual Advisor to Reduce Study Stress
Ranjbartabar, H., Richards, D., Kutay, C., & Mascarenhas, S. F. (2018) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/jgra5243 · Cited by 2
Self-citationAplib: Tactical Programming of Intelligent AgentsPreprint
Prasetya, I. S. W. B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.04710 · Cited by 2
An Ethically-Guided Domain-Independent Model of Computational Emotions
Ojha, S. (2020) · UTS ePRESS (University of Technology Sydney) · Cited by 2
Felix: A Model for Affective Multi-agent Simulations
Vincenti, G., & Braman, J. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-80624-8_9 · Cited by 1
Bastos, H., & Correia, L. M. P. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05176-9_31 · Cited by 1
Tan, Z., & Shen, H. (2026) · Information Sciences · doi:10.1016/j.ins.2026.123172 · Cited by 1
An Emotional BDI Framework for Affective Decision Making Based on Action Tendency
황중규, Park, S.-K., & Hwang, E. (2026) · Electronics · doi:10.3390/electronics15081691 · Cited by 1
Full Body Interaction with Virtual Characters in an Interactive Storytelling Scenario
Kistler, F., Endraß, B., & André, E. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09767-1_30 · Cited by 1
Towards formal modeling of affective agents in a BDI architecture
Alfonso, B., Vivancos, E., & Botti, V. J. (2015) · Cited by 1
Ritter, C., & Aylett, R. S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-21996-7_52 · Cited by 1
Modeling emotional effects on decision-making by agents in game-based simulations
Zyda, M., & Spraragen, M. (2013) · Cited by 1
A Cognitive Architecture for Agent-Based Artificial Life Simulation
Vieira, R. E. S., Dembogurski, B. J., Alvim, L. G. M., & Braida, F. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-95162-1_14 · Cited by 1
User-Models to Drive an Adaptive Virtual Advisor: Demonstration
Ranjbartabar, H., Richards, D., BILGIN, A. A. B., Kutay, C., & Mascarenhas, S. F. (2020) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/sltc8274 · Cited by 1
Self-citationRanjbartabar, H., Richards, D., BILGIN, A. A. B., & Kutay, C. (2021) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3472306.3478357 · Cited by 1
Non-Player Characters and Artificial Intelligence
Pereira, G., Brisson, A., Dias, J., Carvalho, A. L. D. C., Dimas, J., Mascarenhas, S. F., Campos, J., Vala, M., Leite, I., Martinho, C., et al. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8200-9.ch024 · Cited by 1
Self-citationOsuna, E., Padilla, E. L., & Rodríguez, L.-F. (2022) · Cognitive Systems Research · doi:10.1016/j.cogsys.2022.12.003 · Cited by 1
Exploring the Union Between Procedural Narrative and Procedural Content Generation
Sandhu, A., & McCoy, J. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-47658-7_24 · Cited by 1
Service Composition with PDDL Representations and Visualization over Videogame Engines (Short Paper)
Giacomo, G. D., Ntouskos, V., Patrizi, F., Vassos, S., & Aversa, D. (2015) · IEEE International Conference on Service-Oriented Computing and Applications (SOCA) · doi:10.1109/soca.2015.46 · Cited by 1
Modeling and Simulation of Coping Mechanisms and Emotional Behavior During Emergency Situations
Belhaj, M., Kebair, F., & Saïd, L. B. (2016) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-39883-9_13 · Cited by 1
Modeling Emotion Understanding in Stories: Insights from Traumatic Brain Injured Patients.
Ceccaldi, E., Cristina Battaglino, A., Damiano, R., Galetto, V., & Zettin, M. (2016) · Cited by 1
Transfer of Social Human-Human Interaction to Social Human-Agent Interaction
Schneeberger, T. (2018) · Adaptive Agents and Multi-Agents Systems · doi:10.65109/injb5282 · Cited by 1
Evaluating an ECA with a Cognitive-Affective Architecture
Pérez, J., Cerezo, E., Gallardo, J., & Arbeloa, F. J. S. (2018) · International Conference on Human Computer Interaction (Interacción) · doi:10.1145/3233824.3233829 · Cited by 1
Agile Social Simulations for Resilience
Jensen, M., Dignum, F. P. M., Vanhée, L., Păstrăv, C., & Verhagen, H. (2021) · Computational social sciences · doi:10.1007/978-3-030-76397-8_14 · Cited by 2
Generating Variations in a Virtual Storyteller
Lukin, S. M. (2017) · eScholarship (California Digital Library) · Cited by 1
Towards a Cognitive Architecture for Socially Adaptive Human-Robot Interaction
Tanevska, A. (2020) · CINECA IRIS Institutial Research Information System (University of Genoa) · doi:10.15167/tanevska-ana_phd2020-03-03 · Cited by 1
Clockwork: A Discrete Event and Agent-Based Social Simulation FrameworkPreprint
Azad, S., Beymer, D., Pillai, A., Zimmerman, T., Seabolt, E., Bulu, H., Potts, C. M., Burrowes, V. J., Mukherjee, V. V., & Jhala, A. H. (2023) · Research Square · doi:10.21203/rs.3.rs-3740215/v1 · Cited by 1
Social Deliberation for Organizations
Dignum, F. P. M., Dignum, V., Prada, R., & Jonker, C. M. (2014) · doi:10.1145/2655985.2655987
A Reactive Competitive Emotion Selection System
Angel-Fernandez, J. M., Bonarini, A., & Cañamero, L. D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25554-5_4
Representing Game Dialogue as Expressions in
Wheeler, K. F., & Katchabaw, M. J. (2013)
Rule based appraisal of emotions in drama
Lombardo, V., Cristina Battaglino, A., Damiano, R., & Pizzo, A. (2015) · Institutional Research Information System University of Turin (University of Turin)
Salvador, N., Dias, J., Mascarenhas, S. F., & Paiva, A. (2016) · Adaptive Agents and Multi-Agents Systems · doi:10.5555/2936924.2937187
Self-citationModeling Culture in Intelligent Virtual Agents - From Theory to Implementation (Extended Abstract)
Mascarenhas, S. F., Degens, N., Paiva, A., Prada, R., Hofstede, G. J., Beulens, A., & Aylett, R. S. (2016) · Adaptive Agents and Multi-Agents Systems · doi:10.5555/2936924.2937057
Self-citationSaberi, M. (2016) · Summit (Simon Fraser University)
RESEARCH ARTICLE A Reinforcement Learning Model of Joy, Distress, Hope and Fear
Broekens, J., Jacobs, E., & Jonker, C. M. (2015)
Towards Realtime Adaptation: Uncovering User Models from Experimental Data
Richards, D., BILGIN, A. A. B., Ranjbartabar, H., & Makhija, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-97289-3_4
More May Be Less: Emotional Sharing in an Autonomous Social Robot.
Petisca, S., Dias, J., & Paiva, A. (2015) · National Conference on Artificial Intelligence
Self-citationResearch on the Comment Emotion Based Program Satisfaction Model
Yin, F., Ji, M., Xu, R., & Xia, X. (2019) · International Symposium on Signal Processing Systems (SSPS) · doi:10.1145/3364908.3365301
Modulation Scheme for Biasing the Emotional Process of Autonomous Agents
Castellanos, S., Rodríguez, L.-F., & Gutiérrez-García, J. O. (2020) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-3038-2.ch016
Multi-Disciplinary Paths to Actor-Centric Non-Player Character Emotion Models
Schiffer, S. (2020) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-7998-4864-6.ch002
BEN : Une architecture pour des agents cognitifs, affectifs et sociaux dans la simulation
Bourgais, M., Taillandier, P., & Vercouter, L. (2022) · Revue Ouverte d Intelligence Artificielle · doi:10.5802/roia.41
Tecnologías y Aprendizaje: Investigación y Práctica
Campos, S. J. P. (2018)
An Architecture for Believable Socially Aware Agents
Dorgoly, A. (2013) · Scholarship@Western (Western University)
Multi-Disciplinary Paths to Actor-Centric Non-Player Character Emotion Models
Schiffer, S. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-7589-8.ch019
Vicarious Evaluation of a Decision Model for Human-Agent Social Touch Interactions
Boucaud, F., Pélachaud, C., & Thouvenin, I. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3433009
Guimarães, M., Campos, J., Santos, P. A., Dias, J., & Prada, R. (2025) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3711672
Self-citationPalomares, N., Lois, J. M. B., Iranzo, S., Palop, L. S., Jimenez, V., Mateo, B., Laparra-Hernández, J., & Solaz, J. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-83845-3_32
Metadata
- Authors
- Dias, J., Mascarenhas, S., & Paiva, A.
- Affiliations
- Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
- Corresponding author
- Dias, João
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 44-56
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W263876593
- Cited by
- 210
- References
- 15
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 12 · 2021: 16 · 2020: 17 · 2019: 20 · 2018: 23 · 2017: 21 · 2016: 25 · 2015: 21 · 2014: 13
- FWCI
- 15.70
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Keywords
- emotional agents, appraisal theory, agent architecture, modular architecture, appraisal framework, agent behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review