Olteteanu, Ana-Maria
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Olteteanu, Ana-Maria
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Olteteanu, Ana-Maria
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Item type:Publication, The Input, Coherence, Generativity (ICG) Factors : Towards a Model of Cognitive Informativity Measures for Productive Cognitive Systems(2015)Classical thinking on information and informatively considers the informee as a perfect information receiver. However, when studying productive natural and artiLcial cognitive systems, cognitively based models of informativity need to be formulated. Three factors relevant to cognitive informativity measures are proposed: Input, Coherence and Generativity (ICG). These factors take into account the type of Input which can be stored, the Coherence of the system after acquiring the information, and the Generativity of the system after the new information was integrated.conference paperBand:2348 118 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Problem-solving, Creativity and Spatial Reasoning : A ProSocrates 2017 DiscussionThe ProSocrates 2017 Symposium aims to blend the topics of problem-solving, creativity and spatial reasoning. In this paper we will discuss the scientific interest of the topic blend. We will then describe the presented works, how they fit the Symposium theme and statistics about the 2nd Edition of ProSocrates. Finally, we will discuss how the topic mix looked like this year, possible future directions and an outlook for how the topics could be combined in the future.conference paper289 126 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, comRAT-C : A Computational Compound Remote Associate Test Solver based on Language Data and its Comparison to Human Performance(2015); Falomir, ZoeDiscovering the processes and types of knowledge organization which are involved in a creative pro- cess is a challenge up to this date. Human creativity is usually measured by psychological tests, such as the Remote Associates Test (RAT). In this paper, an approach based on a specific type of knowl- edge organization and processes which enables automatic solving of RAT queries is implemented (comRAT) as a part of a more general cognitive theoretical framework for creative problem-solving (CreaCogs). This aims to study: a) whether a convergence process can be used to solve such queries and b) if frequency of appearance of the test items in language data may influence knowledge associ- ation or discovery in solving such problems. The comRAT uses a knowledge base of language data extracted from the Corpus of Contemporary American English. The results obtained are compared to results obtained in empirical tests with humans. In order to explain why some answers might be preferred over others, frequencies of appearance of the queries and solutions are analysed. Human difficulty when solving RAT queries is expressed in response times and percentage of participants solving the query, and a significant moderate correlation between human data and the data provided by this approach is obtained.journal articleBand:67356 576 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Cognitive Systems Framework for Creative Problem Solving(2016-03-15); ; ; This thesis provides a theoretical framework for a wide variety of types of cognitively-inspired creative problem solving. The framework (CreaCogs) is formalized and its various creative processes detailed. The framework is put to the test in a few computational implementations: a solver to the Remote Associates Test - comRAT-C, its adaptation to the visual domain - comRAT-V, and an object replacement and object composition system in a household domain - OROC. The performance and process of these implementations are then (i) compared to human answers and performance in creativity tests or (ii) assessed with the same toolkit that would be used to assess human answers. A set of practical insight problems with objects are given to human participants in a think aloud protocol, which is then encoded and compared to the framework. The experiments and data analysis show that the framework is successful in computationally modeling creative problem solving across a wide variety of tasks.doctoral thesis547 199 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, From Simple Machines to Eureka in Four Not-So-Easy Steps : Towards Creative Visuospatial Intelligence(2016)This chapter builds an account of the cognitive abilities and mechanismsrequired to produce creative problem-solving and insight. Such mechanisms areidentified in an essentialized set of human abilities: making visuospatial inferences,creativelysolvingproblemsinvolvingobjectaffordances,usingexperiencewithpre-viously solved problems to find solutions for new problems, generating new con-cepts out of old ones. Each such cognitive ability is selected to suggests a princi-ple necessary for the harder feat of engineering insight. The features such abilitiespresuppose in a cognitive system are addressed. A core set of mechanisms able tosupport such features is proposed. A unified system framework in line with cogni-tive research is suggested, in which the knowledge-encoding supports the variety of such processes efficiently.book chapterBand:376275 404 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Cognitive Social Machines for Bridging the Cognitive-Computational Gap in Creativity and Creative ReasoningThis position paper presents a view on bridging the cognitive-computational gap in the field of creativity, creative reasoning and problem solving. Starting from the levels of Cognition and Computation, their potential bootstrap is discussed in relation to the concept of Cognitive Social Machines. Five distinct aspects of bridging the cognitive- computational gap in creative reasoning using cognitive social machines are described and discussed in the creativity domain. These aspects refer to (i) building systems and models which solve creative reasoning tasks; (ii) computationally generated tools for a deeper understanding of cognition; (iii) cognitively-inspired processes and knowledge representation types; (iv) computational cognitive assistance, support and training and (v) evaluative informativity metrics for cognitive social machines.conference paper309 129 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, "Seeing as" and Re-representation : Their Relation to Insight, Creative Problem-Solving and Types of Creativity(2015)Re-representation and restructuring are processes relevant to creativity research. These are related to "seeing as", defined as the ability to represent features as different meaningful objects, and select and group objects as relevant structures for the problem at hand. Creative problem-solving, insight and the three types of creativity proposed by Boden are explored from the perspective of these terms. A set of essential questions to be answered by the cognitive systems discipline from the perspective of re-representational ability is put forward. Some of the implications of enabling re-representation and evaluating systems based on re-representation are then explored.conference paperBand:02-2015326 227 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Object reorientation and creative performance(2017); Shu, LiFunctional fixedness refers to a cognitive bias that prevents people from using objects in new ways, and more abstractly, perceiving problems in new ways. Supporting people in overcoming functional fixedness could improve creative problem solving and capacities for creative design. A study was conducted to detect whether a relationship exists between participants tendency to re-orient objects presented as stimuli in an Alternative Uses Test and their creativity, also measured using the Wallach Kogan pattern meanings test. The Alternative Uses Test measures creativity as a function of identifying alternative uses for traditional objects. The Wallach Kogan pattern-meanings test detects the ability to see an abstract pattern as different possible objects or scenes. Also studied is whether the Need for Closure scale, an individual measure reflecting aversion to ambiguity, can predict the ability to use reorientation productively to reduce functional fixedness. This study revealed highly significant, high correlations between reorientation and several creativity measures, and a significant medium correlation between reorientation and Need for Closure scores. A qualitative exploration of participants responses reveals other strategies they used to overcome functional fixedness, as well as further metrics that may be relevant to assessing creativity in the Alternative Uses Test.conference paper289 444 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Cognitive Systems that can answer Human Creativity Tests : An Approach and Two Case Studies(2018); 310 531 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Computationally Creating Multi-answer Queries for the Remote Associates TestThe Remote Associates Test is a creativity test used to assess human participants'ability for association. Small normative datasets of queries exist for this test; however, such datasets do not deal with the issue of potential multiple answers to the same test query. In this work we create a large dataset of queries to which multiple answers are possible. The computational work to create such a dataset is presented, together with the metrics relating to this dataset. The applications of this tool for the investigation and modeling of the creative processes of association in human cognition are also discussed.conference paper377 223