[PDF] Top 20 Model-based contrastive explanations for explainable planning
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Model-based contrastive explanations for explainable planning
... to contrastive explanations through a dialogue with the ...thetical model (HModel) is generated which encapsulates this ...this model is the hypotheti- cal plan (HPlan) that can be compared to ... See full document
9
Explainable Security for Relational Databases
... rity model that is designed to ensure that all policy decisions are ...permissions based on the ...generate explanations, our approach provides strong formal security guarantees, yet is able to ... See full document
12
SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System
... our model to generate the top 5 recommendations with explanations and compute the average Dynamic Time Warping (DTW) [36] distance between the explanations ...between explanations, both lists ... See full document
9
Dynamic Explainable Recommendation Based on Neural Attentive Models
... Providing explanations in a recommender system is getting more and more attention in both industry and research com- ...existing explainable recommender models re- gard user preferences as invariant to ... See full document
8
An explainable recommender system based on semantically-aware matrix factorization.
... where explanations were created based on similar items, 2) user-based, where the system relied on similar users to explain its recommendations, and 3) feature- based, where various features, ... See full document
135
Explainable Neural Networks based Anomaly Detection for Cyber-Physical Systems
... Textual explanations tend to resonate more with humans because we often justify things ...textual explanations of image classification, Hendricks ...the model has shown impressive results, the method ... See full document
149
Explainable AI: The new 42?
... new model (see Figure 3) that focuses on the discriminating properties of the visible object, jointly predicts a class label, and explains why the predicted label is appropriate for the ...function based on ... See full document
11
Stakeholders in explainable AI
... Post-hoc explanations: A commonly-used type of post- hoc explanation is approximation using a local model, ...provide explanations that appear similar to those generated by transparency-based ... See full document
6
Context-based retrieval for explainable reasoning
... context model lays a basis for situation de- pending decisions as for example ...for explanations. We discussed the requirements for good explanations and what kinds are of most ...for ... See full document
18
Mechanistic and ecological explanations in agent based models of cognition
... Mechanistic explanations of artificially evolved agents (or of naturally occurring agents) are ...exhaustive explanations, contain- ing all the conceptual resources necessary for understanding ...such ... See full document
6
Towards explainable AI planning as a service
... for Explainable Planning as a service, which we believe rep- resents an effective way of providing explanations, particu- larly in safety critical ...a model different from the ones that they ... See full document
9
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model
... The artificial neural network has three layers namely input layer, hidden layer and finally output layer. In order to select the parameter for training, input layer is used and it assumes the values from highest order. ... See full document
18
Explainable, Normative, and Justified Agency
... Experiments that test the hypothesis would naturally take the form of lesion studies (Langley and Messina, 2004) that compare system behavior with some elements removed. Here we might take an existing agent architecture ... See full document
5
An Ontology-Based Itinerary Planning Model Using Case-Based Reasoning
... itinerary planning can be considered difficult and time consuming especially for those who visits a place for the first ...itinerary planning system by supporting users in organizing long, medium and short ... See full document
24
Expressivist explanations
... imagine a situation where one is no longer warranted in asserting that „Setting fire to cats is wrong‟, one is also asked to imagine a situation in which certain ascriptions of natural predicates are no longer warranted, ... See full document
40
A GIS MCE based model for forest road planning
... ABSTRACT: One of the cost factors in forest management is the development of road infrastructure. The objective of study was to develop a method using GIS and Multi-criteria Evaluation (MCE) to design a forest road ... See full document
6
A Survey of Explainable AI Terminology
... the model structure, equations, parameter values, and assumptions to enable interested parties to understand the model” (Briggs et ...the model works. We consider trans- parency at the level of the ... See full document
6
A Contrastive Analysis on Web-based Intercultural Peer Feedback
... Concerning the pertinent studies in the past decade, a few researchers investigated the impact of different modes of peer review on learners’ commenting behavior, L2 writing proficiency and learners’ perception. Tuzi ... See full document
7
The Exploratory Role of Explainable Artificial Intelligence
... model’s implementation details, which concern the syntactic structures specified in a computer program, reasons in this context are individuated semantically, by reference to the environmental features and regularities ... See full document
12
Fuzzy Approach Based Management Model for Irrigation Planning
... Irrigation planning problem becomes more complicated, if uncertainty is included in the form of drought and floods, fluctuations in the mar- ket price of crops and its yields, non availability of right type of ... See full document
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