Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.3.9. Problem Solving, Control Methods, and Search
Event-Triggered Optimal Adaptive Leader-Follower Consensus Control for Unknown Input-Constrained Discrete-Time Nonlinear Systems

Zahra Jahan; Abbas Dideban; Farzaneh Tatari

Volume 12, Issue 2 , April 2024, , Pages 149-161

https://doi.org/10.22044/jadm.2024.13779.2500

Abstract
  This paper introduces an adaptive optimal distributed algorithm based on event-triggered control to solve multi-agent discrete-time zero-sum graphical games for unknown nonlinear constrained-input systems with external disturbances. Based on the value iteration heuristic dynamic programming, the proposed ...  Read More

H.3. Artificial Intelligence
Designing a Serious Game for Children with Autism using Reinforcement Learning and Fuzzy Logic

Amirhossein Khabbaz; Mansoor Fateh; Ali Pouyan; Mohsen Rezvani

Volume 11, Issue 3 , July 2023, , Pages 375-390

https://doi.org/10.22044/jadm.2023.12638.2417

Abstract
  Autism spectrum disorder (ASD) is a collection of inconstant characteristics. Anomalies in reciprocal social communications and disabilities in perceiving communication patterns characterize These features. Also, exclusive repeated interests and actions identify ASD. Computer games have affirmative effects ...  Read More

Improving Speed and Efficiency of Dynamic Programming Methods through Chaos

H. Khodadadi; V. Derhami

Volume 9, Issue 4 , November 2021, , Pages 487-496

https://doi.org/10.22044/jadm.2021.10520.2191

Abstract
  A prominent weakness of dynamic programming methods is that they perform operations throughout the entire set of states in a Markov decision process in every updating phase. This paper proposes a novel chaos-based method to solve the problem. For this purpose, a chaotic system is first initialized, and ...  Read More

Probabilistic Reasoning and Markov Chains as Means to Improve Performance of Tuning Decisions under Uncertainty

A. Omondi; I. Lukandu; G. Wanyembi

Volume 9, Issue 1 , January 2021, , Pages 99-108

https://doi.org/10.22044/jadm.2020.8920.2027

Abstract
  Variable environmental conditions and runtime phenomena require developers of complex business information systems to expose configuration parameters to system administrators. This allows system administrators to intervene by tuning the bottleneck configuration parameters in response to current changes ...  Read More

A Monte Carlo-Based Search Strategy for Dimensionality Reduction in Performance Tuning Parameters

A. Omondi; I.A. Lukandu; G.W. Wanyembi

Volume 8, Issue 4 , November 2020, , Pages 471-480

https://doi.org/10.22044/jadm.2020.9403.2076

Abstract
  Redundant and irrelevant features in high dimensional data increase the complexity in underlying mathematical models. It is necessary to conduct pre-processing steps that search for the most relevant features in order to reduce the dimensionality of the data. This study made use of a meta-heuristic search ...  Read More

G.4. Information Storage and Retrieval
RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features

V. Derhami; J. Paksima; H. Khajeh

Volume 7, Issue 3 , July 2019, , Pages 421-442

https://doi.org/10.22044/jadm.2019.3547.1814

Abstract
  Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking ...  Read More

H.3.2.6. Games and infotainment
An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic

A.H. Khabbaz; A. Pouyan; M. Fateh; V. Abolghasemi

Volume 7, Issue 2 , April 2019, , Pages 321-329

https://doi.org/10.22044/jadm.2018.6010.1709

Abstract
  This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on ...  Read More

G.4. Information Storage and Retrieval
Web pages ranking algorithm based on reinforcement learning and user feedback

V. Derhami; J. Paksima; H. Khajah

Volume 3, Issue 2 , July 2015, , Pages 157-168

https://doi.org/10.5829/idosi.JAIDM.2015.03.02.05

Abstract
  The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ...  Read More