most citedArgumentation-based Agents that Explain their Decisions

8 citations · 17 across the 7 of their papers we have counts for

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7 papers

cs.AI20202 cited

Multi-Agent Systems based on Contextual Defeasible Logic considering Focus

Helio H. L. C. Monte-Alto, Mariela Morveli-Espinoza, Cesar A. Tacla

In this paper, we extend previous work on distributed reasoning using Contextual Defeasible Logic (CDL), which enables decentralised distributed reasoning based on a distributed kn…

cs.AI20201 cited

Dealing with Incompatibilities among Procedural Goals under Uncertainty

Mariela Morveli-Espinoza, Juan Carlos Nieves, Ayslan Trevizan Possebom +1

By considering rational agents, we focus on the problem of selecting goals out of a set of incompatible ones. We consider three forms of incompatibility introduced by Castelfranchi…

cs.AI20204 cited

An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets

Mariela Morveli-Espinoza, Juan Carlos Nieves, Cesar Augusto Tacla

Some abstract argumentation approaches consider that arguments have a degree of uncertainty, which impacts on the degree of uncertainty of the extensions obtained from a abstract a…

cs.AI20201 cited

An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents

Mariela Morveli-Espinoza, Cesar Augusto Tacla, Henrique Jasinski

During the first step of practical reasoning, i.e. deliberation or goals selection, an intelligent agent generates a set of pursuable goals and then selects which of them he commit…

cs.AI2020

Resolving Resource Incompatibilities in Intelligent Agents

Mariela Morveli-Espinoza, Ayslan Possebom, Cesar Augusto Tacla

An intelligent agent may in general pursue multiple procedural goals simultaneously, which may lead to arise some conflicts (incompatibilities) among them. In this paper, we focus…

cs.AI20208 cited

Argumentation-based Agents that Explain their Decisions

Mariela Morveli-Espinoza, Ayslan Possebom, Cesar Augusto Tacla

Explainable Artificial Intelligence (XAI) systems, including intelligent agents, must be able to explain their internal decisions, behaviours and reasoning that produce their choic…