Search results for "conceptual spaces"

showing 10 items of 17 documents

A cognitive architecture for artificial vision

1997

Abstract A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the ling…

Cognitive modelActive visionLinguistics and LanguageRepresentation levelComputer sciencemedia_common.quotation_subjectGeometric reasoningRepresentation levelsLanguage and LinguisticsArtificial IntelligencePerceptionConceptual spacesLIDAArchitectureActive visionLanguage and Linguisticmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceHybrid processingbusiness.industryCognitionSpatial intelligenceCognitive architectureRoboticsRoboticPerceptionArtificial intelligencebusinessSpatial reasoningArtificial Intelligence
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A cognitive architecture for music perception exploiting conceptual spaces

2015

A cognitive architecture for a musical agent is presented. The architecture extends and complete an architecture for computer vision previously developed by the author by taking into account many relationships between vision and music perception. The focus of the agent architecture is an intermediate conceptual area between the subconceptual and linguistic areas. A conceptual space for the perception of tones and intervals is thus presented, based on the dissonance measure of the tones. Problems and future works of the proposed approach are finally discussed.

Cognitive scienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer sciencemedia_common.quotation_subjectMusicalCognitive architectureFocus (linguistics)Music perceptionPerceptionConceptual SpacesCognitive dissonanceMusic perceptionArtificial intelligenceArchitecturebusinessAgent architecturemedia_common
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Creativity in Conceptual Spaces

2014

The main aim of this paper is contributing to what in the last few years has been known as computational creativity. This will be done by showing the relevance of a particular mathematical representation of G"ardenfors's conceptual spaces to the problem of modelling a phenomenon which plays a central role in producing novel and fruitful representations of perceptual patterns: analogy.

Computational CreativityConceptual Spacescomputational creativity conceptual spaces analogySettore M-FIL/02 - Logica E Filosofia Della Scienza
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A Cognitive Framework for Imitation Learning

2006

Abstract In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabilities of deeply understanding the perceived actions to be imitated. This paper deals with the development of cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built. The purpose of the following discussion is to show how this Conceptual Area can be employed to efficiently organize perceptual data, to learn movement primitives from human demonstration and to generate complex actions by combining and sequencing simpler ones. The proposed architecture ha…

Computer sciencebusiness.industryMovement (music)General Mathematicsmedia_common.quotation_subjectImitationlearningRepresentation (systemics)Cognitive architectureCognitive roboticsRobotics Imitation LearningIntelligent manipulationComputer Science ApplicationsControl and Systems EngineeringPerceptionConceptual spacesArtificial intelligenceCognitive imitationImitationbusinessCognitive roboticsSoftwaremedia_common
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An algebra for the manipulation of conceptual spaces in cognitive agents

2013

According to Gärdenfors, the theory of conceptual spaces describes a level of representation present in some cognitive agents between a sub-conceptual and a symbolic level of representation. In contrast to a large part of contemporary philosophical speculation on these matters for which concepts and conceptual content are propositional, conceptual spaces provide a geometric framework for the representation of concepts. In this paper we introduce an algebra for the manipulation of different conceptual spaces in order to formalise the process whereby an artificial agent rearranges its internal conceptual representations as a consequence of its perceptions, which are here rendered in terms of …

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProcess (engineering)Computer scienceCognitive NeuroscienceConceptual model (computer science)Representation (systemics)Experimental and Cognitive PsychologyCognitionCognitive agentSettore M-FIL/02 - Logica E Filosofia Della ScienzaCognitive agentsConceptual schemaAlgebraConceptual frameworkArtificial IntelligenceConceptual graphConceptual systemConceptual spaces
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Sub-Symbolic Mapping of Cyc Microtheories in Data-Driven 'Conceptual' Spaces

2007

The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of sub-symbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he wan…

CycSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCycData-driven conceptual spacesOntologiesontologiesdata-driven conceptual spaces
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Conceptual Spaces for Cognitive Architectures: A lingua franca for different levels of representation

2017

During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [Laird (2012)]) adopt a classical symbolic approach, some (e.g. LEABRA [O'Reilly and Munakata (2000)]) are based on a purely connectionist model, while others (e.g. CLARION [Sun (2006)] adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are also available [Kurup and Chandrasekaran (2007)]. In this p…

FOS: Computer and information sciencesConceptual SpaceCognitive Architectures; Cognitive modeling; Conceptual Spaces; Knowledge representation; Experimental and Cognitive Psychology; Cognitive Neuroscience; Artificial IntelligenceComputer Science - Artificial IntelligenceComputer scienceCognitive NeuroscienceExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyCognitive modelingCognitive ArchitecturesConnectionismArtificial IntelligenceConceptual Spaces0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSoarCognitive ArchitectureRepresentation (mathematics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceKnowledge level05 social sciencesCommon groundCognitionCLARIONDiagrammatic reasoningArtificial Intelligence (cs.AI)Knowledge representation020201 artificial intelligence & image processingThe SymbolicBiologically Inspired Cognitive Architectures
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Understanding dynamic scenes

2000

We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, understanding involves the generation of a high level, declarative description of the perceived world. Developing such a description requires both bottom-up, data driven processes that associate symbolic knowledge representation structures with the data coming out of a vision system, and top-down processes in which high level, symbolic information is in its turn employed to drive and further refine the interpretation of a scene. On the one hand, the computer vision community approached this problem in terms of 2D/3D s…

Linguistics and LanguageKnowledge representation and reasoningComputer scienceMachine visionProcess (engineering)media_common.quotation_subjectRepresentation levelsLanguage and LinguisticsMotion (physics)Data-drivenArtificial IntelligenceHuman–computer interactionPerceptionConceptual spacesArtificial visionLanguage and Linguisticmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHybrid processingbusiness.industryRepresentation (systemics)RoboticsProcessesAction (philosophy)PerceptionArtificial intelligencebusinessActionsNeural networksArtificial Intelligence
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Pattern-Recognition: a Foundational Approach

2015

This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems which lie at the foundations of pattern-recognition theory: (i) What is a pattern? and (ii) How do we come to know patterns? In so doing much attention will be paid to tracing a non-arbitrary connection between (i) and (ii), a connection which will be ultimately based on considerations relating to Darwin’s theory of evolution.

Pattern-recognition conceptual spaces cognitive architecture Dennett GaerdenforsConceptual Spaces Mathematical Patterns Intelligent AgentsSettore M-FIL/02 - Logica E Filosofia Della Scienza
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Vision and emotional flow in a cognitive architecture for human-machine interaction

2011

The detection and recognition of a human face should meet the need for social interaction that drives a humanoid robot, and it should be consistent with its cognitive model and the perceived scene. The paper deals with the description of the potential of having a system of emotional contagion, and proposes a simple implementation of it. An emotional index allows to build a mechanism which tends to align the emotional states of the robot and the human when a specific object is detected in the scene. Pursuing the idea of social interaction based on affect recognition, a first practical application capable of managing the emotional flow is described, involving both conceptual spaces and an emo…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniConceptual spaces cognitive architectures emotions human-robot interaction humanoid social interactionCognitive rchitecture
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