Representing Excuses in Social Dependence Networks
Guido Boella,Jan Broersen,Leendert van der Torre,Serena Villata +3 more
- Vol. 5883, pp 365-374
Reads0
Chats0
TLDR
This paper distinguishes five classes of excuses, taking as starting point both jurisprudential and philosophical studies about this topic, and discusses their acceptance criteria.Abstract:
In this paper, we propose a representation of excuses in the context of multiagent systems. We distinguish five classes of excuses, taking as starting point both jurisprudential and philosophical studies about this topic, and we discuss their acceptance criteria. We highlight the following classes of excuses: epistemic excuses, power-based excuses, norm-based excuses, counts as-based excuses and social-based excuses and we represent them using social dependence networks. The acceptance criteria individuate those excuses which success in maintaining the trust of the other agents, e.g. in the context of social networks, excuses based on norms seem better than counts as-based ones in achieving this aim.read more
Citations
More filters
Posted Content
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
TL;DR: In this paper, the authors show how explanation can be seen as a "model reconciliation problem" (MRP), where the AI system in effect suggests changes to the human's model, so as to make its plan be optimal with respect to that changed human model.
Proceedings ArticleDOI
When) Can AI Bots Lie
TL;DR: This paper illustrates several unresolved ethical and moral questions with regards to the design of autonomy in a teaming scenario and investigates how they are perceived by participants in a thought experiment.
Posted Content
Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration.
TL;DR: This paper illustrates some of the issues in a teaming scenario and investigates how they are perceived by participants in a thought experiment.
Foundations of Human-Aware Planning -- A Tale of Three Models
TL;DR: This research explores how the AI agent can leverage the human task model to generate symbiotic behavior and how the introduction of the human mental model in the deliberative process of theAI agent allows it to generate explanations for a plan or resort to explicable plans when explanations are not desired.
Posted Content
Explanation Generation as Model Reconciliation in Multi-Model Planning.
TL;DR: It is shown how explanation can be seen as a "model reconciliation problem" (MRP), where the AI system in effect suggests changes to the human's model, so as to make its plan be optimal with respect to that changed human model.
References
More filters
Book
The Evolution of Cooperation
TL;DR: In this paper, a model based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game was developed for cooperation in organisms, and the results of a computer tournament showed how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.
Journal ArticleDOI
Tropos: An Agent-Oriented Software Development Methodology
TL;DR: The goal in this paper is to introduce and motivate a methodology, called Tropos, for building agent oriented software systems, based on the notion of agent and all related mentalistic notions, formalized in a metamodel described with a set of UML class diagrams.
Journal ArticleDOI
Interpersonal forgiving in close relationships
TL;DR: Evidence is found consistent with the hypotheses that the relationship between receiving an apology from and forgiving one's offender is a function of increased empathy for the offender and that forgiving is uniquely related to conciliatory behavior and avoidance behavior toward the offending partner.
Book ChapterDOI
A plea for excuses
TL;DR: The subject of this paper, Excuses, is one not to be treated, but only to be introduced, within such limits as discussed by the authors, and it has long afforded me what philosophy is so often thought, and made, barren of, the fun of discovery, the pleasures of co-operation and the satisfaction of reaching agreement.
Proceedings ArticleDOI
Multi-agent dependence by dependence graphs
TL;DR: This paper presents an abstract structure called dependence graph, an extension of the notion of dependence network, as proposed in [16], and analyzes several properties of this structure, relating them to some corresponding social phenomena regarding group formation and cohesiveness.