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Probabilistic reasoning based on layers of knowledge base

Trần Đình Quế
2012 Journal of Computer Science and Cybernetics  
Such", method is based on the reduced basic matrix constructed from sentences of the knowledge base without the target sentence. Tom tlit.  ...  This pap er first presents a method of approximate reasoning in the interval-valued probabilistic logic by basing on "byers" of a knowledge base.  ...  Update of a sentence </J is recursively defined as follows: (i) For all </J E L~o' </J is updated; (ii) </J E Lf, (i < no), is updated if all 'if; E L7+1 are updated and 8(~+1,u) r-(</J,1",), where 8 s  ... 
doi:10.15625/1813-9663/17/2/2440 fatcat:jh6gw2whpzdovn26si3swkyj3a

Embedding revision programs in logic programming situation calculus

Chitta Baral
1997 The Journal of Logic Programming  
We extend Marek and Truszczynski's approach to allow an incomplete initim knowledge base, and extend the rules of revision programs to depend both on the initial and the final knowledge base.  ...  E> Revision programs were introduced by Marek and Truszczynski to specify a change in knowledge bases.  ...  This can be shown by exactly going backwards in the proof of part (ii). I would like to thank Prof. W.  ... 
doi:10.1016/s0743-1066(96)00080-5 fatcat:szxyg7727nctzghl3usxvszjsq

Hybrid Knowledge Base for Care Robots

Guang Yang, Shuoyu Wang, Junyou Yang
2021 International Journal of Innovative Computing, Information and Control  
The graph-based knowledge base can be initialized and updated considering human preferences and environmental changes.  ...  We introduce a hybrid knowledge base capable of integrating both commonsense knowledge and instance knowledge.  ...  Two update resources are considered: (i) camera perception for the instance knowledge; and (ii) manually input for the commonsense knowledge.  ... 
doi:10.24507/ijicic.17.01.335 fatcat:yuzj7ebyuvbfdjr2waramqkb7y

Question generation for adaptive assessment for student knowledge modeling in probabilistic domains

Nabila Khodeir, Nayer M. Wanas, Nevin Mahmoud Darwish, Nadia Hegazy
2012 User Modeling, Adaptation, and Personalization  
Assessing questions are generated adaptively according to the student knowledge based on two factors (i) the student misconceptions that are entailed in the student knowledge model, and (ii) the information  ...  Updating and verification of the student model are conducted based on the matching between the student's and model answers to assessing questions.  ...  Updating and verification of the model are conducted based on the matching between the student's and model's answers.  ... 
dblp:conf/um/KhodeirWDH12 fatcat:2ctcz4zwlvf2nb5udb74wyezsy

Utilizing Diagnosing Problems in a Probabilistic Domain to Build Student Models

Nabila Khodeir, Nayer Wanas, Nevin Darwish, Nadia Hegazy
2010 International Journal of Computer Science & Information Technology (IJCSIT)  
Updating and verification of the model are conducted based on the matching between the student's and model answers.  ...  Two different approaches to updating are suggested, i) coarse and ii) refined model updating. Moreover, the effect of the order of which questions are presented to the student is investigated.  ...  Generation of simulated students is based on two different schemes for perturbation of the knowledge model, namely (i) fully random and (ii) partially random schemes.  ... 
doi:10.5121/ijcsit.2010.2408 fatcat:k4umkfvsvzholfbvppnlzfbkp4

Standards Project Updates (2) - KBART Phase 3 Update [article]

Noah Levin
2022 figshare.com  
new standards, and to update existing ones.  ...  Slides from session on Standards Updates at NISO Plus 2020Session description: Standards are at the heart of what NISO does, and we rely on our community to help us decide what is needed and why, to develop  ...  The Licensor will use reasonable efforts to update itemized holdings reports as soon as is practicable when holdings information changes and will provide this information to knowledge base providers in  ... 
doi:10.6084/m9.figshare.12071676.v1 fatcat:fy55l6qbwvcb3ja35lrgjza6ni

Context Knowledge Discovery in Ubiquitous Computing [chapter]

Kim Anh Pham Ngoc, Young-Koo Lee, Sung-Young Lee
2005 Lecture Notes in Computer Science  
This article introduces the concept of context knowledge discovery process, and presents a middleware architecture which eases the task of ubiquitous computing developers, while supporting data mining  ...  rule set: update the Utility of each rule based on application's reponse, remove low-utility rules and learn new rules from the updated training data.  ...  of covered example.s iii) Iterations: Repeat step i) and ii) until the number of attributes in a frequent set, or the number of examples covered by a new rule reach a limit. iv) Iteratively updating the  ... 
doi:10.1007/11575863_16 fatcat:2fhttawywfejjiwimgetfr33qy

Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning [article]

Hongcai Xu, Junpeng Bao, Junqing Wang
2020 arXiv   pre-print
Knowledge graph-based dialogue systems can narrow down knowledge candidates for generating informative and diverse responses with the use of prior information, e.g., triple attributes or graph paths.  ...  The results show that KgDg adapts both fast and well to knowledge graph-based dialogue generation and outperforms state-of-the-art baseline.  ...  The knowledge graph-based dialogue model parameters θ are then updated based on the θ k i :     ;,     k test ii MetaUpdate D ( 10 ) In the improved MetaUpdate stage, the knowledge aware dialogue  ... 
arXiv:2004.08798v1 fatcat:o6jl6qyapbdg7pdjx4amhgvqb4

Inconsistency Management in Generalized Knowledge and Action Bases

Diego Calvanese, Marco Montali, Ario Santoso
2015 International Workshop on Description Logics  
FP7-318338, and by the UNIBZ internal project KENDO (Knowledge-driven ENterprise Distributed cOmputing).  ...  Specifically, Knowledge and Action Bases (KABs) [3] have been put forward recently to provide a semantically rich representation of a domain.  ...  In KABs, static aspects are modeled using a Description Logic (DL) [1] knowledge base (KB), while actions are used to evolve its extensional part over time, possibly introducing fresh individuals.  ... 
dblp:conf/dlog/CalvaneseMS15 fatcat:njcfk4owirdt5onre6aqew6uhm

Knowledge Equivalence in Digital Twins of Intelligent Systems [article]

Nan Zhang, Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos
2022 arXiv   pre-print
This paper proposes the notion of knowledge equivalence and an equivalence maintaining approach by knowledge comparison and updates.  ...  A quantitative analysis of the proposed approach confirms that compared to state equivalence, knowledge equivalence maintenance can tolerate deviation thus reducing unnecessary updates and achieve more  ...  deviation Avg. utility deviation No. of updates 0.2 0.3 0.4 0.5 0.6 Scenario II-1 compare knowledge state Scenario II-2 compare knowledge state Scenario II-3 compare knowledge state Scenario II-4 compare  ... 
arXiv:2204.07481v1 fatcat:4bs7plydtvb73liupgl3iq2jky

Agent-based Cloud service composition

J. Octavio Gutierrez-Garcia, Kwang Mong Sim
2012 Applied intelligence (Boston)  
, effectively cope with constantly changing consumers' service needs that trigger updates, and compose services in multiple Clouds even with incomplete information about Cloud participants.  ...  Empirical results obtained from an agent-based testbed show that agents in this work can: successfully compose services to satisfy service requirements, autonomously select services based on dynamic fees  ...  based on dynamic services fees, and (ii) incomplete knowledge about the existence and location of service providers and the Cloud resources they offer.  ... 
doi:10.1007/s10489-012-0380-x fatcat:6caxquplv5bkra54mvfinyq3ta

Recommending Garment Products in E-Shopping Environment by Exploiting an Evolutionary Knowledge Base

Junjie Zhang, Xianyi Zeng, Ludovic Koehl, Min Dong
2018 International Journal of Computational Intelligence Systems  
The other drawback is that the existing recommendation systems are mostly closed, without considering the possibility of data and knowledge updating.  ...  Considering the above drawbacks, we propose a new recommendation system integrating the following features: 1) automatic adjustment of the knowledge according to the consumers' feedback, 2) making the  ...  It is a knowledge-based recommendation system. The rules of the knowledge base are extracted from four sensory experiments. ii.  ... 
doi:10.2991/ijcis.11.1.26 fatcat:33shagewe5e7ne2n5yx2fsljp4

An Ontology-based Hybrid Architecture for Planning and Robust Execution in Tabletop Scenarios

Alessio Capitanelli, Fulvio Mastrogiovanni
2016 International Conference of the Italian Association for Artificial Intelligence  
To this purpose, the framework integrates (i) point cloud perception, (ii) ontology-based knowledge representation, (iii) high-level task planning, as well as (iv) task execution and monitoring.  ...  Our main contribution is an open source, closed-loop hybrid architecture based on semantic knowledge and high-level reasoning to ground perception-based task representation, reasoning and execution.  ...  However, it allows for goal-driven and context-based behavior, and for dealing with knowledge at a high level of abstraction.  ... 
dblp:conf/aiia/CapitanelliM16 fatcat:swjqukybsbab7myxqsfrntiaeq

Routing update period in Cognitive Radio Ad Hoc Networks

Angela Sara Cacciapuoti, Marcello Caleffi, Francesco Marino, Luigi Paura
2013 2013 IEEE International Workshop on Measurements & Networking (M&N)  
Then, we analytically derive the available capacity at the source node as function of the routing update period through closed-form expressions.  ...  In this paper, we address the choice of the routing update period in Cognitive Radio Ad Hoc Networks with the objective of maximizing the capacity available at an arbitrary node acting as source.  ...  Available Capacity comparison for the two PU Activity model and network knowledge. TABLE I UPDATE I BASED AVAILABLE CAPACITY FOR K = 3.  ... 
doi:10.1109/iwmn.2013.6663785 dblp:conf/iwmn/CacciapuotiCMP13 fatcat:ymuffuywsfd3djw6gm5c2twa3a

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification [article]

Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
2021 arXiv   pre-print
Despite our analysis reveals their infancy, IL techniques are a promising research area on the roadmap towards automated DL-based traffic analysis systems.  ...  To address this pain point, in this work we explore Incremental Learning (IL) techniques to add new classes to models without a full retraining, hence speeding up model's updates cycle.  ...  II. BACKGROUND Incremental learning studies how to (i) integrate new classes and (ii) refresh the knowledge of already known classes without retraining a model from scratch.  ... 
arXiv:2107.04464v1 fatcat:dccptmvfnvc7zianycmzint3vi
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