Innovations in Applied Artificial Intelligence

doi:10.1007/b97304

Cited by 24 publications

(6 citation statements)

References 51 publications

(7 reference statements)

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“…In [21], the author notices the lack of stability in long term learnings. The system is most likely to lose its stability and the generalisation is less efficient.…”

Section: Discussionmentioning

confidence: 99%

An architecture for online chunk learning and planning in complex navigation and manipulation tasks

Hanoune

Quoy

Gaussier

2012

2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)

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When a robot is brought into a new environment, it has a very limited knowledge of what surrounds it and what it can do. Either to navigate in the world, or to interact with humans, the robot must be able to learn complex states, using input information from sensors. For navigation task, visual information are commonly used for localisation. Other signals are usually employed: ultrasounds, lasers and path integration are as many data that can be taken into account. For human-robot interactions the proprioceptive information, like the values of the articulations and the grip state, are additional degrees in the system that can to be enrolled in the analysis. All those signals have different dynamics, and the system must manage all those differences. To do so, a solution is to introduce different learning levels. An architecture able to create complex multimodal contexts, to recognise them and to use them afterwords in higher level strategies would give the capacity to resolve such situations. In this paper, a model has been introduced for complex categorisation problems, patterning and chunk learning. It is used in a complex architecture to create multimodal states for a cognitive map and to resolve ambiguities. Tests were performed in both a simulated navigation task and in a complex arm manipulation and localisation experiment.

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“…In [21], the author notices the lack of stability in long term learnings. The system is most likely to lose its stability and the generalisation is less efficient.…”

Section: Discussionmentioning

confidence: 99%

An architecture for online chunk learning and planning in complex navigation and manipulation tasks

Hanoune

Quoy

Gaussier

2012

2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)

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“…The PCS data is not illustrated in this case. The authors present INTHELEX, an application of a first-order logic incremental learning system that allows learning the automatic identification rules of a wide range of essential document classes and their related components in [5]. When the set of documents is constantly expanded, incrementally plays a critical role.…”

Section: Related Workmentioning

confidence: 99%

“…• Rule-Based (RB) [5] classifications are algorithms in which collections of rules represent the data set. In contrast to DTs, which use a strictly hierarchical approach, RB classifiers allow for overlaps in the decision space.…”

Section: Algorithms Of ML For Chmentioning

confidence: 99%

An Approach based on Machine Learning Algorithms for the Recommendation of Scientific Cultural Heritage Objects

Nafis¹,

Fararni²,

Yahyaouy³

et al. 2021

IJACSA

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The Scientific Cultural Heritage (SCH) of the Drâa-Tafilalet region in south-eastern Morocco is a rich source of data testifying to the ingenuity of an older generation that has shaped the past of the region. These data must be preserved for future generations, particularly with new technologies and the semantic web. Recommendation systems (RS) are intended to assist prospective users in recommending the most suitable services based on their profile and expectations. The collaborative filtering (CF), content filtering (CB) or hybrid filtering (CF) RS has shown promising results in order to explore the problems experienced especially in CH. However, there are some limitations to be resolved, mostly due to the ability of these methods to build a stable and complete framework, which can provide a complete image of the user profile and suggest the most appropriate offers. This paper presents a hybrid recommender system for SCH data; a field little explored despite its historical importance and the value it generates. The results presented in this paper belong to the data collected from the region of Drâa-Tafilalet in southern Morocco.

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“…Roussev (2003), a process is proposed for generating formal objectoriented specifications in OCL and class diagrams from the Use case model of a system through a clearly defined sequence of model transformations. Liu et al (2004), a methodology and a CASE tool named Use-Case driven Development Assistant (UCDA) is presented to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP).…”

Section: Techniques Based On Use Casesmentioning

confidence: 99%

“…Although Use Case based approaches have been quite popular but several arguments against Use Case have been cited in the literature. Author in (Liu et al, 2004) has cited that Use Cases do not alone solve the problem. It is scenario that specifies concrete sequences of actions for the requirement.…”

Section: Techniques Based On Use Casesmentioning

confidence: 99%

An Event-Based Methodology to Generate Class Diagrams and its Empirical Evaluation

Singh¹

2010

Journal of Computer Science

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Problem statement: Event-based systems have importance in many application domains ranging from real time monitoring systems in production, logistics, medical devices and networking to complex event processing in finance and security. The increasing popularity of Event-based systems has opened new challenging issues for them. One such issue is to carry out requirements analysis of event-based systems and build conceptual models. Currently, Object Oriented Analysis (OOA) using Unified Modeling Language (UML) is the most popular requirement analysis approach for which several OOA tools and techniques have been proposed. But none of the techniques and tools to the best of our knowledge, have focused on event-based requirements analysis, rather all are behavior-based approaches. Approach: This study described a requirement analysis approach specifically for event based systems. The proposed approach started from events occurring in the system and derives an importable class diagram specification in XML Metadata Interchange (XMI) format for Argo UML tool. Requirements of the problem domain are captured as events in restricted natural language using the proposed Event Templates in order to reduce the ambiguity. Results: Rules were designed to extract a domain model specification (analysis-level class diagram) from Event Templates. A prototype tool 'EV-ClassGEN' is also developed to provide automation support to extract events from requirements, document the extracted events in Event Templates and implement rules to derive specification for an analysis-level class diagram. The proposed approach is also validated through a controlled experiment by applying it on many cases from different application domains like real time systems, business applications, gaming. Conclusion: Results of the controlled experiment had shown that after studying and applying Event-based approach, student's perception about ease of use and usefulness of OOA technique has significantly improved. Their project reported showed positive feedback about Event-based approach. These results reinforced the evidence that by analyzing events that are likely to happen in a system, one can derive class diagram information from requirements

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Innovations in Applied Artificial Intelligence

Cited by 24 publications

References 51 publications

An architecture for online chunk learning and planning in complex navigation and manipulation tasks

An architecture for online chunk learning and planning in complex navigation and manipulation tasks

An Approach based on Machine Learning Algorithms for the Recommendation of Scientific Cultural Heritage Objects

An Event-Based Methodology to Generate Class Diagrams and its Empirical Evaluation

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