In complex and changing environments explanation must be a a dynamic and goal-driven process. This paper discusses an evolving system implementing a novel model of explanation generation --- Goal-Driven Interactive Explanation --- that models explanation as a goal-driven, multi-strategy, situated process inter-weaving reasoning with action. We describe a preliminary implementation of this model in gobie, a system that generates explanations for its internal use to support plan generation and execution. 1 INTRODUCTION In standard AI models of explanation, explanation is purely a reasoning process done in isolation from the situation being explained. Likewise in models of explanation that consider explanation goals, goals exert a fixed topd...
Existing approaches to text generation fail to consider how interactions with the user may be manage...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
In this paper, we describe a user focused approach to generating goal oriented explanations that mot...
Introduction In order to learn effectively in complex situations, learners must be able to determin...
explain in a dynamic environment. Related to earlier work on goal-directed diagnosis (?), a major is...
The fast progress in artificial intelligence (AI), combined with the constantly widening scope of it...
The problem of interactive formation of explanations in intelligent information systems, as a proble...
We describe a stance towards the generation of explanations in AI agents that is both human-centered...
Explanations have gained an increasing level of interest in the AI and Machine Learning (ML) communi...
In this paper we examine the general problem of generating preferred explanations for observed behav...
The process of explaining something to another person is more than offering a statement. Explaining ...
International audienceThe XAI concept was launched by the DARPA in 2016 in the context of model lear...
Jörg Cassens, Rebekah Wegener, Lorenz Habenicht, and Julian Blohm discuss the dialogic form of expla...
A key challenge in the design of AI systems is how to support people in understanding them. We addre...
Existing approaches to text generation fail to consider how interactions with the user may be manage...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
In this paper, we describe a user focused approach to generating goal oriented explanations that mot...
Introduction In order to learn effectively in complex situations, learners must be able to determin...
explain in a dynamic environment. Related to earlier work on goal-directed diagnosis (?), a major is...
The fast progress in artificial intelligence (AI), combined with the constantly widening scope of it...
The problem of interactive formation of explanations in intelligent information systems, as a proble...
We describe a stance towards the generation of explanations in AI agents that is both human-centered...
Explanations have gained an increasing level of interest in the AI and Machine Learning (ML) communi...
In this paper we examine the general problem of generating preferred explanations for observed behav...
The process of explaining something to another person is more than offering a statement. Explaining ...
International audienceThe XAI concept was launched by the DARPA in 2016 in the context of model lear...
Jörg Cassens, Rebekah Wegener, Lorenz Habenicht, and Julian Blohm discuss the dialogic form of expla...
A key challenge in the design of AI systems is how to support people in understanding them. We addre...
Existing approaches to text generation fail to consider how interactions with the user may be manage...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...