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Found 19 papers, 2 papers with code
Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges
We investigate the effectiveness of ChatGPT in extracting norms from contracts.
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning
Experimental results demonstrate that the integration of decision theory not only facilitates effective initial guidance for DRL agents but also promotes a more structured and informed exploration strategy, particularly in environments characterized by large and intricate state spaces.
Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
Whereas it is well-known that sanctioning can lead to the emergence of norms, we posit that a broader kind of social intelligence can prove more effective in promoting cooperation in a multiagent system.
Moral Judgments in Narratives on Reddit: Investigating Moral Sparks via Social Commonsense and Linguistic Signals
We focus on excerpts-which we term moral sparks-from original posts that commenters include to indicate what motivates their judgments.
CoSiNES: Contrastive Siamese Network for Entity Standardization
Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base.
Conversation Modeling to Predict Derailment
We propose a domain-adaptive pretraining objective to integrate conversational structure information and a multitask learning scheme to leverage the distance from each utterance to derailment.
Extracting Incidents, Effects, and Requested Advice from MeToo Posts
We develop a natural language-based model to identify sentences from a post that describe any of the above three categories.
PACO: Provocation Involving Action, Culture, and Oppression
Further, we labeled 7, 000 sentences for three provocation categories and called this dataset PACO.
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
Norms help regulate a society.
Consent as a Foundation for Responsible Autonomy
This paper focuses on a dynamic aspect of responsible autonomy, namely, to make intelligent agents be responsible at run time.
Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems
Social norms characterize collective and acceptable group conducts in human society.
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
There is a pressing need to address relevant social concerns to allow for the development of systems of intelligent agents that are informed and cognizant of ethical standards.
Moral and Social Ramifications of Autonomous Vehicles
Whereas previous studies of such concerns have focused on the opinions of experts, we seek to understand these ethical and societal challenges from the perspectives of the drivers themselves.
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Defensive deception is a promising approach for cyber defense.
Prosocial Norm Emergence in Multiagent Systems
It is well recognized that the norms that arise in society are not always beneficial to its members.
Octa: Omissions and Conflicts in Target-Aspect Sentiment Analysis
Sentiments in opinionated text are often determined by both aspects and target words (or targets).
Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery
Opinionated text often involves attributes such as authorship and location that influence the sentiments expressed for different aspects.
Tosca: Operationalizing Commitments Over Information Protocols
The notion of commitment is widely studied as a high-level abstraction for modeling multiagent interaction.
