Conversational agents: Theory and applications

M Wahde, M Virgolin - … Volume 2: Deep Learning, Intelligent Control …, 2022 - World Scientific
In this chapter, we provide a review of conversational agents (CAs), discussing chatbots,
intended for casual conversation with a user, as well as task-oriented agents that generally …

Algorithmic ghost in the research shell: Large language models and academic knowledge creation in management research

N Williams, S Ivanov, D Buhalis - arXiv preprint arXiv:2303.07304, 2023 - arxiv.org
The paper looks at the role of large language models in academic knowledge creation
based on a scoping review (2018 to January 2023) of how researchers have previously …

Large Language Model-based Test Case Generation for GP Agents

S Jorgensen, G Nadizar, G Pietropolli… - Proceedings of the …, 2024 - dl.acm.org
Genetic programming (GP) is a popular problem-solving and optimization technique.
However, generating effective test cases for training and evaluating GP programs requires …

[PDF][PDF] Epistemic defenses against scientific and empirical adversarial AI attacks

NM Aliman, L Kester - CEUR Workshop Proceedings, 2021 - ceur-ws.org
In this paper, we introduce “scientific and empirical adversarial AI attacks”(SEA AI attacks) as
umbrella term for not yet prevalent but technically feasible deliberate malicious acts of …

The five is: key principles for interpretable and safe conversational ai

M Wahde, M Virgolin - Proceedings of the 2021 4th International …, 2021 - dl.acm.org
In this position paper, we present five key principles, namely interpretability, inherent
capability to explain, independent data, interactive learning, and inquisitiveness, for the …

10. Immoral programming

NM Aliman, L Kester - Moral design and technology, 2022 - brill.com
The problem-solving and imitation capabilities of AI are increasing. In parallel, research
addressing ethical AI design has gained momentum internationally. However, from a …

Synthetic news as a tool for evaluating urban area development policies

A Shuklin, D Parygin, A Gurtyakov… - … on Engineering and …, 2022 - ieeexplore.ieee.org
The actions of people and various infrastructural factors are the sources of events that
characterize the state of the human life activity environment. The reaction of citizens to such …

Examining the Role of Incentives in Scholarly Publishing with Multi-Agent Reinforcement Learning

G Bernardi, E Medvet, A Bartoli… - ALIFE 2023: Ghost in the …, 2023 - direct.mit.edu
Scientific research plays a crucial role in advancing human civilization, thanks to the efforts
of a multitude of individual actors. Their behavior is largely driven by individual incentives …

Unleashing GPT‐3's Potential in Automatic Text Generation: A Comprehensive Study and Analysis

R Shamim, BB Mallik - Mathematical Modeling for Computer …, 2024 - Wiley Online Library
Machine learning relies heavily on automatic text production, and recent innovations like the
GPT‐3 model have shown remarkable possibilities in this area. Using a wide range of …

Генерация синтетических новостей для продуцирования социального отклика на городские события

АА Шуклин, ДС Парыгин, АА Финогеев… - Социология …, 2022 - urbansocio.com
Аннотация В современном медиапространстве одним из основных источников
формирования реакции людей на происходящие события являются новостные ленты …