An algebra for the manipulation of conceptual spaces in cognitive agents

Augello, Agnese; Gaglio, Salvatore; Oliveri, Gianluigi; Pilato, Giovanni

doi:10.1016/j.bica.2013.07.004

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Within such a metric structure, if a and b are elements of a region, and if c is between a and b, then c is also likely to belong to the region. The notion of concept convexity allows the interpretation of the focal points of regions as category prototypes, and concepts are defined in terms of similarity to their prototypes (Gärdenfors 2004;Augello et al 2013;Kovács and Hannan 2015). Consequently, concepts can be defined "polythetically" by reference to a set of properties which are both necessary and sufficient (by stipulation) for membership in the specific region of the conceptual space (Needham 1975;Barsalou 1985;Medin 1989;Ellen 2003;Medin and Rips 2005).…”

Section: Culture As a Measurementmentioning

confidence: 99%

From Past to Present: The Deep History of Kinship

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2019

Integrating Qualitative and Social Science Factors in Archaeological Modelling

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the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Section: Culture As a Measurementmentioning

confidence: 99%

From Past to Present: The Deep History of Kinship

Read

2019

Integrating Qualitative and Social Science Factors in Archaeological Modelling

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“…Studies have reported the application of conceptual space theory to RCC8 network to understand the betweenness of the constraints [17]. Similarly, the conceptual space can be applied to immune system in order to obtain an intelligent design of immunization [6]. Adding to these, conceptual spaces can also be applied to evolution in theories such as classic mechanics, quantum mechanics and special relativity theory.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Conceptual space: A conceptual space is the collection of concepts that interrelates different quality dimensions. Adaptation of geometrical framework of conceptual spaces implies the adaptation of properties and the notion of the framework to the target domain (prosthetic arm) [6]. In this research, we perform analogical reasoning by adapting the terminologies such as objects, attributes, quality dimensions, domains of the geometrical framework of conceptual space to prosthetic arm to achieve the cognitive functionality.…”

Section: Notions Of Conceptual Spacesmentioning

confidence: 99%

“…On the other hand, mammalian immune system is often described as cognitive system. Conceptual space framework can be used for demonstrating the cognitive functionalities of an immune system [6]. Motivated by the aforementioned literature, we aim to model the cognitive functionalities of the prosthetic arm using the conceptual space framework in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Cognitive Functionalities of Prosthetic Arm using Conceptual Spaces

Ishwarya¹,

Cherukuri²

2019

JAMRIS

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Conceptual space framework is used for representing knowledge in cognitive systems. In this paper, we have adapted conceptual space framework for prosthetic arm considering its cognitive abilities such as receiving signals, recognizing and decoding the signal and responding with the corresponding action in order to develop a conceptual space of the prosthetic arm. Cognitive functionalities such as learning, memorizing and distinguishing configurations of prosthetic arm are achieved via its conceptual space. To our knowledge, this work is the first attempt to adapt the conceptual spaces to model cognitive functionalities of prosthetic arm. Adding to this, we have made use of different notion of concept that reflects the topological structure in concepts. To model the actions of the prosthetic arm functionalities, we have made use of force patterns to represent action. Similarly, to model the distinguishing ability, we make use of the relationship between the attributes conveyed by adapted different notion of concept.

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“…For example, as regards the representation of sensory measurements, the Subsymbolic tier is responsible for pre-processing the data coming from sensors, by uniforming the sampling rate and eliminating outliers. The Conceptual module is an intermediate tier between the Subsymbolic and the Symbolic levels, similarly to what has been proposed in [33], [34]. This tier uses appropriate clustering and classification techniques in order to identify fuzzy concepts which are then represented in the Symbolic level.…”

Section: Architecture Designmentioning

confidence: 99%

Autonomic behaviors in an Ambient Intelligence system

Paola

Ferraro

Gaglio

et al. 2014

2014 IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI)

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Ambient Intelligence (AmI) systems are constantly evolving and becoming ever more complex, so it is increasingly difficult to design and develop them successfully. Moreover, because of the complexity of an AmI system as a whole, it is not always easy for developers to predict its behavior in the event of unforeseen circumstances. A possible solution to this problem might lie in delegating certain decisions to the machines themselves, making them more autonomous and able to self-configure and self-manage, in line with the paradigm of Autonomic Computing. In this regard, many researchers have emphasized the importance of adaptability in building agents that are suitable to operate in real-world environments, which are characterized by a high degree of uncertainty. In the light of these considerations, we propose a multi-tier architecture for an autonomic AmI system capable of analyzing itself and its monitoring processes, and consequently of managing and reconfiguring its own sub-modules to better satisfy users' needs. To achieve such a degree of autonomy and self-awareness, our AmI system exploits the knowledge contained in an ontology that formally describes the environment it operates in, as well as the structure of the system itself

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An algebra for the manipulation of conceptual spaces in cognitive agents

Cited by 5 publications

References 14 publications

From Past to Present: The Deep History of Kinship

From Past to Present: The Deep History of Kinship

Modeling Cognitive Functionalities of Prosthetic Arm using Conceptual Spaces

Autonomic behaviors in an Ambient Intelligence system

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