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Academic literature on the topic 'Heuristic function of emotions'

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Published: 30 May 2022
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Journal articles on the topic "Heuristic function of emotions"

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Vendrell Ferran, Íngrid. "Emotion in the Appreciation of Fiction." Journal of Literary Theory 12, no. 2 (September 3, 2018): 204–23. http://dx.doi.org/10.1515/jlt-2018-0012.

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Abstract Why is it that we respond emotionally to plays, movies, and novels and feel moved by characters and situations that we know do not exist? This question, which constitutes the kernel of the debate on »the paradox of fiction«, speaks to the perennial themes of philosophy, and remains of interest to this day. But does this question entail a paradox? A significant group of analytic philosophers have indeed thought so. Since the publication of Colin Radford’s celebrated paper »How Can We Be Moved by the Fate of Anna Karenina?« (1975), the number of proposals to solve, explain, reformulate, dismiss or even revitalize this apparent paradox has continued to proliferate. In line with recent developments in the philosophy of emotion, in this paper I will argue against the sustainability of the paradox, claiming that the only reasonable way to continue our discussions about it consists in using it as a heuristic tool to shed light on problems regarding our involvement with fiction. Against this background, I will then focus on one of the problems related to how our emotional responses to fiction contribute to our appreciation of it. The paper is divided into three main sections. The first section shows the parallel evolution of the paradox of fiction and the analytic philosophy of emotion. Here I claim that, although the paradox is epistemically flawed, since one of its premises is rooted in a limited view on the emotions typical of early cognitivism, the discussions it provokes are still epistemically useful. As Robert Stecker (2011, 295), among others, has pointed out, the paradox was formulated during the heyday of cognitive theories of the emotions in which emotion necessarily requires belief. Today, however, only few authors would endorse this premise. If emotion does not always require belief (as the majority of authors in the contemporary debate admit), let alone belief about the existence of the object towards which it is directed, then there is no reason to speak of a paradox. From this first conclusion, however, it does not follow that the paradox is completely without use from the epistemic point of view. A glimpse at the topics touched on during the discussions about how to solve, reformulate, or negate the paradox reveals their value in shedding light on the interrelation between emotion and fiction. The second section elaborates a phenomenologically inspired cognitive account of the emotions by focusing on their cognitive bases, their influence on cognitions, and their cognitive function. In this model, emotions are responsible for indicating values, for showing what matters to us, and for being appropriate to their objects. My claim is that this view applies not only to reality, but also to our involvement with fiction. In the final section I draw on this account to focus on one kind of appreciation of fiction which necessarily requires our emotional involvement. Following an idea put forward by Susan Feagin (1996, 1), I employ the concept of »appreciation« to refer to a set of abilities exercised with the aim of extracting value from the work. There is a long tradition in aesthetics that condemns any focus on the emotions in the appreciation of art and fiction, and defends the necessity of aesthetic appreciation without emotional influence. To refer to this negative attitude towards the emotions, I will borrow an expression coined by Susan Feagin (2013, 636), who refers to »the intellectualized view of appreciation«. Against this widespread view, I will argue that some aspects of the fiction can only be appreciated with the help of our emotions. The cognitive approach developed in the previous section can explain how the emotions might in fact play a significant role in the appreciation of art and fiction. Attention will be paid to three activities involved in appreciation, for all of which emotion is crucial: processing relevant information about the fictional world, understanding aspects of it, and becoming acquainted with the values it presents. My aim here is to argue that there are particular aspects of the fictional world that can only be appreciated if recipients have the appropriate emotions.
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Cohen, Elizabeth L. "Stars—They’re Sick Like Us! The Effects of a Celebrity Exemplar on COVID-19-Related Risk Cognitions, Emotions, and Preventative Behavioral Intentions." Science Communication 42, no. 5 (October 2020): 724–41. http://dx.doi.org/10.1177/1075547020960465.

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Research on exemplification suggests that celebrity health exemplars can exert a greater influence on public risk perceptions than exemplars featuring noncelebrities. In the aftermath of actor Tom Hanks’s announcement that he tested positive for COVID-19, an online experiment compared the effects of his exemplar to an identical noncelebrity exemplar. Hanks’s disclosure increased perceptions of susceptibility to the virus. The celebrity exemplar also increased anxiety, which increased intentions to engage in preventive behavior. These findings suggest that the mere presence of celebrity might function as a cognitive and affective heuristic that guides risk-related assessment and decision making.
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Zulli, Diana, and Terri L. Towner. "The Effects of “Live,” Authentic, and Emotional Instagram Images on Congressional Candidate Evaluations." Social Media + Society 7, no. 4 (October 2021): 205630512110629. http://dx.doi.org/10.1177/20563051211062917.

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This study examines how Instagram’s design and norms influence expectations for political imagery and, subsequently, the effects of these images on electability, vote likelihood, and candidate evaluations. Using the Elaboration Likelihood Model, we propose three norms of Instagram that likely function as heuristic cues and affect the reception of political visual communication on the platform: liveness, authenticity, and emotionality. We experimentally test these visual features on Congressional candidate images, finding some evidence that live, authentic, and emotional images positively influence vote likelihood but negatively impact electability. Results also indicate that live, authentic, and emotional images either have no or negative effects on female candidate evaluations or have no or positive effects on male candidate evaluations.
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Marinchenko, I. A., and E. V. Vasil’eva. "The stylistic devices of using onomatopoeic words in Vitaly Bianki’s works." Russian language at school 83, no. 1 (January 21, 2022): 50–55. http://dx.doi.org/10.30515/0131-6141-2022-83-1-50-55.

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The article explores the ways onomatopoeic words function in children’s fiction. The aim of the study is to identify the functional and stylistic distinctive features of using onomatopoeic vocabulary in Vitaly Bianki’s short stories and fairy tales. Onomatopoeic words are an important expressive means which characterises the individual style of the writer considered to be one of the founders of the Soviet nature prose. Such words reflect the author’s subjective emotional attitude to the natural world and perform important stylistic functions (figurative, characterizing, expressive, heuristic, aesthetic, and others) in his works written for children. To achieve the aim, the methods of functional and stylistic analysis were employed. As a result, the paper identifies the basic techniques exploited to actualise the onomatopoeic component of lexical units in V. V. Bianki’s prose. It has been found that the onomatopoeic usage patterns reveal the fundamentals of the naturalist writer’s view of life and his creative manner.
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Ranganathan, Kavitha. "Do personal values explain variation in satisficing measures of risk?" Management Decision 59, no. 7 (June 8, 2021): 1642–63. http://dx.doi.org/10.1108/md-08-2019-1115.

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PurposeThe role of personal value systems as antecedents to risk has been largely ignored. Following Gigerenzer's view of ecological rationality, the authors argue an individual's personal value system serves as concrete motivations that guide risky choices and facilitate adaptation to one's environment.Design/methodology/approachThe authors elicit risk attitudes using a satisficing-based risk elicitation method that exploits the idea of worst-case aspiration or minimum portfolio returns given a portfolio comprising a safe and risky prospect. The elicited worst-case aspiration allows for more descriptive and natural ways of characterizing attitudes to risk (i.e. satisficing measures of risk). Using the Schwartz Value Survey, the authors assess the relative importance individuals place on value systems, such as personal focus versus social focus. The authors argue that preference to value systems has linkages with the worst-case aspiration setting emphasized in the satisficing task.FindingsThis study’s findings suggest that individuals who are willing to give up higher potential returns to protect their downside risk (by setting higher worst-case aspiration) are positively associated with personal focus—concern about own outcomes than social focus—concern about the outcomes for others or established institutions.Research limitations/implicationsCurrently, the study’s setting is in the domain of financial decision-making. Going forward, milestones could be set for studying risky real-world choices by simply changing the risk measure in different contexts, such as job choices, education, health and social interactions.Originality/valueThis study contributes to the discussion on the psychometric structure of risk. Prescriptive benefits of satisficing as a positive heuristic, which is interpreted as setting achievable goals or aspiration levels, are extensive and recognized in various industries ranging from agriculture, airlines, insurance to financial advising. More recently, cognitive processes, such as emotions and personal value systems, are recognized as a type of social cognition that subserve heuristic functions that can guide behavior quickly and accurately.
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Lukaszewski, Aaron W., David M. G. Lewis, Patrick K. Durkee, Aaron N. Sell, Daniel Sznycer, and David M. Buss. "An Adaptationist Framework for Personality Science." European Journal of Personality 34, no. 6 (December 2020): 1151–74. http://dx.doi.org/10.1002/per.2292.

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The field of personality psychology aspires to construct an overarching theory of human nature and individual differences: one that specifies the psychological mechanisms that underpin both universal and variable aspects of thought, emotion, and behaviour. Here, we argue that the adaptationist toolkit of evolutionary psychology provides a powerful meta–theory for characterizing the psychological mechanisms that give rise to within–person, between–person, and cross–cultural variations. We first outline a mechanism–centred adaptationist framework for personality science, which makes a clear ontological distinction between (i) psychological mechanisms designed to generate behavioural decisions and (ii) heuristic trait concepts that function to perceive, describe, and influence others behaviour and reputation in everyday life. We illustrate the utility of the adaptationist framework by reporting three empirical studies. Each study supports the hypothesis that the anger programme—a putative emotional adaptation—is a behaviour–regulating mechanism whose outputs are described in the parlance of the person description factor called ‘Agreeableness’. We conclude that the most productive way forward is to build theory–based models of specific psychological mechanisms, including their culturally evolved design features, until they constitute a comprehensive depiction of human nature and its multifaceted variations. © 2020 European Association of Personality Psychology
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Mahmood, Sozan Abdulla, and Qani Qabil Qasim. "Big Data Sentimental Analysis Using Document to Vector and Optimized Support Vector Machine." UHD Journal of Science and Technology 4, no. 1 (February 13, 2020): 18. http://dx.doi.org/10.21928/uhdjst.v4n1y2020.pp18-28.

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With the rapid evolution of the internet, using social media networks such as Twitter, Facebook, and Tumblr, is becoming so common that they have made a great impact on every aspect of human life. Twitter is one of the most popular micro-blogging social media that allow people to share their emotions in short text about variety of topics such as company’s products, people, politics, and services. Analyzing sentiment could be possible as emotions and reviews on different topics are shared every second, which makes social media to become a useful source of information in different fields such as business, politics, applications, and services. Twitter Application Programming Interface (Twitter-API), which is an interface between developers and Twitter, allows them to search for tweets based on the desired keyword using some secret keys and tokens. In this work, Twitter-API used to download the most recent tweets about four keywords, namely, (Trump, Bitcoin, IoT, and Toyota) with a different number of tweets. “Vader” that is a lexicon rule-based method used to categorize downloaded tweets into “Positive” and “Negative” based on their polarity, then the tweets were protected in Mongo database for the next processes. After pre-processing, the hold-out technique was used to split each dataset to 80% as “training-set” and rest 20% “testing-set.” After that, a deep learning-based Document to Vector model was used for feature extraction. To perform the classification task, Radial Bias Function kernel-based support vector machine (SVM) has been used. The accuracy of (RBF-SVM) mainly depends on the value of hyperplane “Soft Margin” penalty “C” and γ “gamma” parameters. The main goal of this work is to select best values for those parameters in order to improve the accuracy of RBF-SVM classifier. The objective of this study is to show the impacts of using four meta-heuristic optimizer algorithms, namely, particle swarm optimizer (PSO), modified PSO (MPSO), grey wolf optimizer (GWO), and hybrid of PSO-GWO in improving SVM classification accuracy by selecting the best values for those parameters. To the best of our knowledge, hybrid PSO-GWO has never been used in SVM optimization. The results show that these optimizers have a significant impact on increasing SVM accuracy. The best accuracy of the model with traditional SVM was 87.885%. After optimization, the highest accuracy obtained with GWO is 91.053% while PSO, hybrid PSO-GWO, and MPSO best accuracies are 90.736%, 90.657%, and 90.557%, respectively.
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Vincent, Alexandre. "A History of Silences." Annales. Histoire, Sciences Sociales 72, no. 3 (September 2017): 385–409. http://dx.doi.org/10.1017/ahsse.2020.1.

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This paper, grounded in a critical reading of Alain Corbin’s recent History of Silence, proposes a twofold development. The first part is methodological, arguing for the necessity of studying the acoustic phenomena of the past in a way that is distinct from emotion and does not focus solely on conveying experience. The historiography of the notion of “soundscapes,” invented by musicologist Raymond Murray Schafer, is used to assess the contribution of “sound studies,” “sensory history,” and the anthropology of the senses. The heuristic capacities of this notion are emphasized, as is the need to locate it within a coherent topographical and chronological framework. The second section of the article develops a case study based on these methodological prescriptions, focusing on silence in the religious rites of ancient Rome. The acoustic frame of ritual perfection, silentium was also a category of Roman religious law and very far from the quest for interiority and spiritual life that Corbin considers a natural part of silence. An analysis of the nature and function of silence in two different rites, taking the auspices and sacrifice, confirms the need for a thorough and contextualized historical approach to acoustic phenomena: behind a unified terminology lie two radically different acoustic realities.
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Konev, A. D., E. S. Sinitsyn, and V. V. Kim. "Information theory of emotions in heuristic learning." Neuroscience and Behavioral Physiology 18, no. 5 (September 1988): 408–11. http://dx.doi.org/10.1007/bf01193887.

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Hua, Zhao. "An RFID-Enabled IoT-Based Smart Tourist Route Recommendation Algorithm." Mobile Information Systems 2022 (March 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/9866086.

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With the rapid development and broad deployment of Internet of Things (IoT) technologies, the IoT are increasingly shifting away from “interconnection of everything” to “human-computer-thing” sensing integration. Although there are numerous sensing technologies available today, radio frequency identification (RFID) has emerged as useful medium for “passive sensing” due to its lightweight, taggable, and simple deployment properties. With the growth of social networks in recent years, it has become a significant research hotspot for the development of path suggestion systems that are tailored to the demands of individual users’ preferences. This paper considers the relevant features of interest points, integrates the user’s emotion and product similarity into the heuristic function of the ant colony algorithm, adopts the elite management ant strategy, maximizes the management ant strategy, and uses particle swarm algorithm to improve the initial pheromone distribution of the ant colony algorithm. The proposed model combines the ratings of 593 tourists and text comment information into one dataset and proposes a smart tourist route recommendation model. The improved ant colony algorithm is utilized to recommend the most popular tourist routes and recommend the tourist routes of the most popular tourist spots in the scenic area. The suggested method is more efficient in terms of accuracy and recall. The F measure value is derived from real-world dataset testing.
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Dissertations / Theses on the topic "Heuristic function of emotions"

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Lodge, Rosemary. "An heuristic enquiry into clients' and therapists' experiences of emotional connection in therapy." Thesis, Regent's University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646054.

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This was a qualitative study looking at the experience of emotional connection in therapy from both clients’ and therapists’ perspectives. The aim was to see whether and how the experience of emotional connection was the same or different for each party; and whether and how it was connected to client change. It was an heuristic enquiry and explored the experiences of five client/therapist pairs including the researcher and the researcher’s therapist. The client and therapist in each co-researcher pair were interviewed separately about a session (chosen by the client) where both had experienced an emotional connection with each other (the researcher pair had a mutual dialogue about the experience). The interviews were then analysed using heuristic processes of immersion, incubation, illumination, explication and creative synthesis. The main findings were: (1) emotional connection was experienced on two different levels: a conscious, articulated level (the ‘manifest level’) and an unarticulated, subliminal level (the ‘hidden level’); (2) emotional connection was connected to client change on both levels; (3) the main ‘work’ of therapy took place on the manifest level; (4) however, healing of the client’s deepest, or primary hurt, took place at the hidden level; (5) at the hidden level there was a good emotional match between the client and therapist. The implications of this research are that the healing mechanisms within therapy may not always be under our conscious control and that for deep healing work it may be important for there to be a good fit at an emotional level between client and therapist.
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Zarate, Marvin Abisrror. "On selecting heuristic function subset for domain independent-planning." Universidade Federal de Viçosa, 2016. http://www.locus.ufv.br/handle/123456789/8541.

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Nesta dissertação apresentamos métodos gulosos para a seleção de um subconjunto de funções heurísticas de um grande conjunto de possibilidades com o objetivo de reduzir o tempo de execução de algoritmos de busca. Trabalhos anteriores mostraram que a busca pode ser mais rápido se vários bancos de dados padrão menores são usados em vez de um grande banco de dados padrão. Nossos métodos são capazes de selecionar boas heurísticas de um grande conjunto de funções heurísticas para guiar uma A*. Implementamos nosso método em Fast Downward e mostrou empiricamente que produz heurísticas que superam o estado-da-arte de outros planejadores na Competição Internacional de Planejamento.
In this dissertation we present greedy methods for selecting a subset of heuristic functions from a large pool of possibilities with the objective of reducing the running time of search algorithms. Previous works showed that search can be faster if several smaller pattern databases are used instead of one large pattern database. Our methods are able to select good heuristics from a large set of heuristic functions to guide A* search. We implemented our method in Fast Downward and showed empirically that it produces heuristics which outperform the state-of-the-art planners in the International Planning Competition benchmarks.
Autor sem Lattes.
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Dahal, Keshav P., Stephen M. Remde, Peter I. Cowling, and N. J. Colledge. "Improving metaheuristic performance by evolving a variable fitness function." Springer Verlag, 2008. http://hdl.handle.net/10454/2498.

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In this paper we study a complex real world workforce scheduling problem. We apply constructive search and variable neighbourhood search (VNS) metaheuristics and enhance these methods by using a variable fitness function. The variable fitness function (VFF) uses an evolutionary approach to evolve weights for each of the (multiple) objectives. The variable fitness function can potentially enhance any search based optimisation heuristic where multiple objectives can be defined through evolutionary changes in the search direction. We show that the VFF significantly improves performance of constructive and VNS approaches on training problems, and ¿learn¿ problem features which enhance the performance on unseen test problem instances.
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Tscharaktschiew, Nadine. "Actions and Outcomes: The Evaluative Function of Moral Emotions." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-156245.

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Results from 10 empirical studies and 1 review article are described and can be summarized as follows: Only moral emotions represent an evaluation of person's behavior, whereas non-moral emotion provide information about outcomes. Positive moral emotions (e.g. pride, respect) signal that a person's (self or other) behavior was right, whereas negative moral emotions (e.g., guilt, indignation) signal that a person's behavior was wrong. These evaluations and signals are elicited by judgments of ought, goal attainment and effort (see Heider, 1958). Some moral emotions (e.g., shame or admiration) are also elicited by judgments on a person's ability. A person's responsibility (Weiner, 1995, 2006) and the perceived morality of a person's behavior (i.e., with regard to rightness and wrongness) represent further cognitive antecedents of moral emotions. Some moral emotions (e.g., regret, sympathy) are also influenced by a person's empathy (see Paulus, 2009) towards others. There are specific moral emotions that are closely connected to help-giving (e.g., sympathy), whereas other moral emotions are more closely related to reward (e.g., admiration) or punishment (e.g., anger). With regard to the cognitive effort underlying emotions, moral emotions require more cognitive effort (i.e., longer reaction times) than non-moral emotions.
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Di, Fazio Roberto. "People's perception of others' experienced emotions as a function of the others' status." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0018/NQ43574.pdf.

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Durso, Geoffrey Royce Oates. "Social Judgments of Others’ Emotions Versus Their Traits as a Function of Expectations." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531417615156007.

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Cooper, Chelsea M. "Change in Envy as a Function of Target Likeability." UKnowledge, 2013. http://uknowledge.uky.edu/psychology_etds/17.

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Envy is a painful emotion that can negatively impact one’s self-worth. It is also a shameful, socially undesirable emotion, implying both inferiority and hostility. Some scholars suggest that these features of envy lead to a need to cope with the emotion. Thus, over time, envy tends to be transformed into more socially acceptable responses such as resentment or dislike. The present study tested this claim. First, envy was manipulated by asking participants to read an article containing an interview with either a high- or low-envy target. The second article manipulated the likeability of the target by varying whether or not he or she made an arrogant statement. Finally, a third article indicated that the target had suffered a misfortune. Although, as predicted, envy decreased, the manipulation of likeability did not affect this decrease. Consistent with predictions, resentment increased after the second article and this was more likely when the target was dislikeable than when the target was likeable. Finally, the participants felt greater schadenfreude when the dislikeable target suffered than when the likeable target suffered and marginally more schadenfreude when the target was more enviable. Clearly, envy dissipated over time, but further research is needed to determine precisely why.
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Hong, Libin. "Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52348/.

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A hyper-heuristic is a search method or learning mechanism for selecting or generating heuristics to solve computational search problems. Researchers classify hyper-heuristics according to the source of feedback during learning: Online learning hyper-heuristics learn while solving a given instance of a problem; Offline learning hyper-heuristics learn from a set of training instances, a method that can generalise to unseen instances. Genetic programming (GP) can be considered a specialization of the more widely known genetic algorithms (GAs) where each individual is a computer program. GP automatically generates computer programs to solve specified tasks. It is a method of searching a space of computer programs. GP can be used as a kind of hyper-heuristic to be a learning algorithm when it uses some feedback from the search process. Our research mainly uses genetic programming as offline hyper-heuristic approach to automatically design various heuristics for evolutionary programming.
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Hermanson, Kaye Saurer. "Differences in men's emotional expression as a function of gender beliefs and contextual variables : partner gender and cues /." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07282008-134429/.

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Burnett, Linda Dee. "Heuristic Optimization of Boolean Functions and Substitution Boxes for Cryptography." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16023/.

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Fundamental to the electronic security of information and communication systems, is the correct use and application of appropriate ciphers. The strength of these ciphers, particularly in their ability to resist cryptanalytic attacks, directly in uences the overall strength of the entire system. The strength of the underlying cipher is reliant upon a robust structure and the carefully designed interaction between components in its architecture. Most importantly, however, cipher strength is critically dependent on the strength of the individual components of which it is comprised. Boolean functions and substitution boxes (s-boxes) are among the most common and essential components of ciphers. This is because they are able to provide a cipher with strengthening properties to resist known and potential cryptanalytic attacks. Thus, it is not surprising that significant research effort has been made in trying to develop ways of obtaining boolean functions and substitution boxes with optimal achievable measures of desirable cryptographic properties. Three of the main cryptographic properties required by strong boolean functions and s-boxes are nonlinearity, correlation immunity and propagation criteria, with different cryptographic applications requiring different acceptable measures of these and other properties. As combinations of cryptographic properties exhibited by functions can be conicting, finding cryptographically strong functions often means that a trade-off needs to be made when optimizing property values. Throughout this thesis, the term "optimization" specifically refers to seeking to obtain the best achievable combination of target property values which may be exhibited by boolean functions and s-boxes, regardless of whether the relevant properties are conflicting or complementary. This thesis focusses on a particular class of techniques for obtaining strong functions for cryptographic applications, referred to as heuristic methods or, simply, heuristics. Three new heuristic methods, each aimed at generating boolean functions optimizing one or more of the main cryptographic properties mentioned above, in addition to other desirable properties, are presented. The first of the new heuristic methods developed for this thesis focusses on generating boolean functions which are balanced and exhibit very high nonlinearities. Highly nonlinear balanced functions are critical to many cryptographic applications, as they provide good resistance to linear cryptanalytic attacks. This first method is based on the recursive modification of a starting bent function and is shown to be highly successful and efficient at generating numerous such functions, which also exhibit low autocorrelation values, in a very short computational time. The generation of balanced, correlation immune boolean functions that also exhibit the confl icting property of high nonlinearity is the focus of the second new heuristic method developed for this thesis. By concatenating selected pairs of lower-dimensional boolean functions together in the Walsh Hadamard transform domain, direct optimization for both resilience and nonlinearity was able to take place at each level towards and for the final function. This second method was able to generate examples of boolean functions with almost all of the best known optimal combinations of target property values. Experiments have shown the success of this method in consistently generating highly nonlinear resilient boolean functions, for a range of orders of resilience, with such functions possessing optimal algebraic degree. A third new heuristic method, which searches for balanced boolean functions which satisfy a non-zero degree of propagation criteria and exhibit high nonlinearity, is presented. Intelligent bit manipulations in the truth table of starting functions, based on fundamental relationships between boolean function transforms and measures, provide the design rationale for this method. Two new function generation schemes have been proposed for this method, to efficiently satisfy the requirements placed on the starting functions utilized in the computational process. An optional process attempts to increase the algebraic degree of the resulting functions, without sacrificing the optimalities that are achievable. The validity of this method is demonstrated through the success of various experimental trials. Switching the focus from single output boolean functions to multiple output boolean functions (s-boxes), the effectiveness of existing heuristic techniques (namely Genetic Algorithm, Hill Climbing Method and combined Genetic Algorithm/Hill Climbing) in primarily being applied to improve the nonlinearity of s-boxes of various dimensions, is investigated. The prior success of these heuristic techniques for improving the nonlinearity of boolean functions has been previously demonstrated, as has the success of hill climbing in isolation when applied to bijective s-boxes. An extension to the bijective s-box optimization work is presented in this thesis. In this new research, a Genetic Algorithm, Hill Climbing Method and the two in combination are applied to the nonlinearity and autocorrelation optimization of regular NxM s-boxes (N > M) to investigate the effectiveness and efficiency of each of these heuristics. A new breeding scheme, utilized in the Genetic Algorithm and combined Genetic Algorithm/Hill Climbing trials, is also presented. The success of experimental results compared to random regular s-box generation is demonstrated. New research in applying the Hill Climbing Method to construct NxM sboxes (N > M) required to meet specific property criteria is presented. The consideration of the characteristics desired by the constructed s-boxes largely dictated the generation process. A discussion on the generation process of the component functions is included. Part of the results produced by experimental trials were incorporated into a commonly used family of stream ciphers, thus further supporting the use of heuristic techniques as a useful means of obtaining strong functions suitable for incorporation into practical ciphers. An analysis of the cryptographic properties of the s-box used in the MARS block cipher, the method of generation and the computational time taken to obtain this s-box, led to the new research reported in this thesis on the generation of MARS-like s-boxes. It is shown that the application of the Hill Climbing Method, with suitable requirements placed on the component boolean functions, was able to generate multiple MARS-like s-boxes which satisfied the MARS sbox requirements and provided additional properties. This new work represented an alternative approach to the generation of s-boxes satisfying the MARS sbox property requirements but which are cryptographically superior and can be obtained in a fraction of the time than that which was taken to produce the MARS s-box. An example MARS-like s-box is presented in this thesis. The overall value of heuristic methods in generating strong boolean functions and substitution boxes is clearly demonstrated in this thesis. This thesis has made several significant contributions to the field, both in the development of new, specialized heuristic methods capable of generating strong boolean functions, and in the analysis and optimization of substitution boxes, the latter achieved through applying existing heuristic techniques.
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Books on the topic "Heuristic function of emotions"

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Lench, Heather C., ed. The Function of Emotions. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4.

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Ferrández Vicente, José Manuel, José Ramón Álvarez-Sánchez, Félix de la Paz López, Javier Toledo Moreo, and Hojjat Adeli, eds. Understanding the Brain Function and Emotions. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19591-5.

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Stange, Ulrike. Emotive interjections in British English: A corpus-based study on variation in acquisition, function, and usage. Amsterdam: John Benjamins Publishing Company, 2016.

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Women of sensibility or reason: The function of the feminine characters in the novels of Marivaux, Diderot, Crèbillon fils, Duclos, and Laclos. Harare: University of Zimbabwe, 1987.

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Loew, Katharina. Special Effects and German Silent Film. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463725231.

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In recent decades, special effects have become a major new area of research in cinema studies. For the most part, they have been examined as spectacles or practical tools. In contrast, Special Effects and German Silent Film, foregrounds their function as an expressive device and their pivotal role in cinema’s emergence as a full-fledged art. Special effects not only shaped the look of iconic films like Nosferatu (1922) or Metropolis (1927), but they are central to a comprehensive understanding of German silent film culture writ large. This book examines special effects as the embodiment of a “techno-romantic” paradigm that seeks to harness technology – the epitome of modern materialism – as a means for accessing a spiritual realm. Employed to visualize ideas and emotions in a medium-specific way, special effects thus paved the way for film art.
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United States. National Aeronautics and Space Administration., ed. An empirical comparison of seven iterative and evolutionary function optimization heuristics. [Washington, DC: National Aeronautics and Space Administration, 1995.

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The Function of Emotions: When and Why Emotions Help Us. Springer, 2018.

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The Function of Emotions: When and Why Emotions Help Us. Springer, 2018.

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Post-White, Janice E. THE EFFECTS OF MENTAL IMAGERY ON EMOTIONS, IMMUNE FUNCTION AND CANCER OUTCOME. 1991.

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Conway, Anne M., Michele M. Tugade, Lahnna I. Catalino, and Barbara L. Fredrickson. The Broaden-and-Build Theory of Positive Emotions: Form, Function, and Mechanisms. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199557257.013.0003.

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Book chapters on the topic "Heuristic function of emotions"

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Nešić, Nera, and Stephan Schiffel. "Heuristic Function Evaluation Framework." In Computers and Games, 71–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50935-8_7.

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Lench, Heather C., and Zari Koebel Carpenter. "What Do Emotions Do for Us?" In The Function of Emotions, 1–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_1.

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Storbeck, Justin, and Jordan Wylie. "The Functional and Dysfunctional Aspects of Happiness: Cognitive, Physiological, Behavioral, and Health Considerations." In The Function of Emotions, 195–220. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_10.

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Chirico, Alice, and David B. Yaden. "Awe: A Self-Transcendent and Sometimes Transformative Emotion." In The Function of Emotions, 221–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_11.

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Williams, Lisa A. "Emotions of Excellence: Communal and Agentic Functions of Pride, Moral Elevation, and Admiration." In The Function of Emotions, 235–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_12.

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Lench, Heather C., Cassandra L. Baldwin, Dong An, and Katie E. Garrison. "The Emotional Toolkit: Lessons from the Science of Emotion." In The Function of Emotions, 253–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_13.

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Parsafar, Parisa, and Elizabeth L. Davis. "Fear and Anxiety." In The Function of Emotions, 9–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_2.

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Ein-Dor, Tsachi, and Gilad Hirschberger. "On Sentinels and Rapid Responders: The Adaptive Functions of Emotion Dysregulation." In The Function of Emotions, 25–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_3.

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Karnaze, Melissa M., and Linda J. Levine. "Sadness, the Architect of Cognitive Change." In The Function of Emotions, 45–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_4.

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Huron, David. "On the Functions of Sadness and Grief." In The Function of Emotions, 59–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77619-4_5.

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Conference papers on the topic "Heuristic function of emotions"

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Yiu, Ying Fung, Jing Du, and Rabi Mahapatra. "Evolutionary Heuristic A* Search: Heuristic Function Optimization via Genetic Algorithm." In 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2018. http://dx.doi.org/10.1109/aike.2018.00012.

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Fan, Xunli, Jie Wang, Lin Guan, Li Gao, and Xingang Wang. "Heuristic Active Queue Management with Hazard rate function." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019958.

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Boryczka, Urszula, and Jan Kozak. "A NEW HEURISTIC FUNCTION IN ANT-MINER APPROACH." In 11th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2009. http://dx.doi.org/10.5220/0001857700330038.

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Philippov, Ilya. "Building Heuristic Scheduler for One-Machine Network Function Scaling." In 2018 Engineering and Telecommunication (EnT-MIPT). IEEE, 2018. http://dx.doi.org/10.1109/ent-mipt.2018.00017.

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Zhang, Jianhong, Ying Shi, and Xiaofei Xie. "The Q(λ) algorithm based on heuristic reward function." In 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5564220.

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Tajiki, Mohammad M., Stefano Salsano, Mohammad Shojafar, Luca Chiaraviglio, and Behzad Akbari. "Energy-efficient path allocation heuristic for service function chaining." In 2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). IEEE, 2018. http://dx.doi.org/10.1109/icin.2018.8401618.

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Jing, Gao, and Han Zhidong. "An Efficient Attribute Reduction Algorithm Designed with Heuristic Function." In 2011 International Conference on Multimedia and Signal Processing (CMSP). IEEE, 2011. http://dx.doi.org/10.1109/cmsp.2011.134.

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Jing, Xurui, and Xiaojun Yang. "Application and Improvement of Heuristic Function in A * Algorithm." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8482630.

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Goswami, Parantapa, Massih-Reza Amini, and Eric Gaussier. "Study of Heuristic IR Constraints Under Function Discovery Framework." In ICTIR '15: ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808194.2809479.

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Sanjabi, Gelareh B., Duc T. Nguyen, and Caleb Talbot. "Heuristic Bidirectional Dijkstra Algorithm Using Piece-Wise Linear Function." In International Conference on Transportation and Development 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481547.011.

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Reports on the topic "Heuristic function of emotions"

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Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3864.

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The article deals with the technology of visualizing fictional text (poetry) with the help of emoji symbols in the Emoji Maker platform that not only activates students’ thinking, but also develops creative attention, makes it possible to reproduce the meaning of poetry in a succinct way. The application of this technology has yielded the significance of introducing a computer being emoji in the study and mastering of literature is absolutely logical: an emoji, phenomenologically, logically and eidologically installed in the digital continuum, is separated from the natural language provided by (ethno)logy, and is implicitly embedded into (cosmo)logy. The technology application object is the text of the twentieth century Cuban poet José Ángel Buesa. The choice of poetry was dictated by the appeal to the most important function of emoji – the expression of feelings, emotions, and mood. It has been discovered that sensuality can reconstructed with the help of this type of meta-linguistic digital continuum. It is noted that during the emoji design in the Emoji Maker program, due to the technical limitations of the platform, it is possible to phenomenologize one’s own essential-empirical reconstruction of the lyrical image. Creating the image of the lyrical protagonist sign, it was sensible to apply knowledge in linguistics, philosophy of language, psychology, psycholinguistics, literary criticism. By constructing the sign, a special emphasis was placed on the facial emogram, which also plays an essential role in the transmission of a wide range of emotions, moods, feelings of the lyrical protagonist. Consequently, the Emoji Maker digital platform allowed to create a new model of digital presentation of fiction, especially considering the psychophysiological characteristics of the lyrical protagonist. Thus, the interpreting reader, using a specific digital toolkit – a visual iconic sign (smile) – reproduces the polylaterial metalinguistic multimodality of the sign meaning in fiction. The effectiveness of this approach is verified by the poly-functional emoji ousia, tested on texts of fiction.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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