Characteristic Behavior Patterns Research Articles

Diversity and Classification of Genetic Variations in Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition with symptoms that affect the whole personality and all aspects of life. Although there is a high degree of heterogeneity in both its etiology and its characteristic behavioral patterns, the disorder is well-captured along the autistic triad. Currently, ASD status can be confirmed following an assessment of behavioral features, but there is a growing emphasis on conceptualizing autism as a spectrum, which allows for establishing a diagnosis based on the level of support need, free of discrete categories. Since ASD has a high genetic predominance, the number of genetic variations identified in the background of the condition is increasing exponentially as genetic testing methods are rapidly evolving. However, due to the huge amount of data to be analyzed, grouping the different DNA variations is still challenging. Therefore, in the present review, a multidimensional classification scheme was developed to accommodate most of the currently known genetic variants associated with autism. Genetic variations have been grouped according to six criteria (extent, time of onset, information content, frequency, number of genes involved, inheritance pattern), which are themselves not discrete categories, but form a coherent continuum in line with the autism spectrum approach.

On Effects of Personality Traits on Travelers’ Heterogeneous Preferences: Insights from a Case Study in Urumqi, China

Personality is a psychological concept which reflects people’s characteristic patterns of thoughts, feelings, and behavior. In this sense, it is straightforward to state that people’s behavior is fundamentally affected by their personalities. However, the concept of personality is rarely considered in most travel behavior studies. Given this fact, this paper aims to investigate the effect of personality traits on travelers’ heterogeneous preferences in the context of air itinerary choice. To this end, travelers’ stated choices for air itinerary and information reflecting travelers’ personality traits were collected. After defining specific personality traits based on the collected data, a hybrid choice model with interaction effects between travelers’ personality traits/socio-demographic characteristics and alternative-specific attributes were established and estimated and next the contributions of personality traits and socio-demographic characteristics to travelers’ choice behavior were compared and analyzed. The results confirmed the effects of personality traits on travelers’ heterogeneous preferences. However, the results also revealed that the magnitudes of such effects are not as great as the effects of socio-demographic characteristics.

An Active Externalism about Personality

People display recognizably characteristic behavioral patterns across time and situations, with a given degree of regularity. These patterns may justify the attribution of personality traits. It is arguably the commonsense view that the proper explanation of these behavioral regularities is given by intrinsic properties of the agent’s psychology. In this paper, I argue for an externalistic view of the causal basis of personality-characteristic behaviors. According to the externalistic view, the relevant behavioral regularities are better understood as the result of a systematic interaction between features internal to the agent and environmental-situational factors. Moreover, if the premise is granted that people are typically able to exercise a certain degree of control over the environmental-situational conditions they find themselves in, the resulting picture is of active sort of externalism, as people may at times engage in selection and manipulation of environmental-situational conditions as a way of managing their own behavioral tendencies.

TRANSFORMATION OF VALUE ORIENTATIONS OF STUDENT YOUTH IN THE CONTEXT OF DIGITAL REALITY

The article deals with the transformation of youth values in the digital reality. Digital reality forms different value systems among young people. The new environment of social self-determination and self-expression of young people is a special single space in which most of the young people exist simultaneously in virtual and real life. The relevance of the study is predetermined by the need to study this problem and conduct scientific research aimed at analyzing the value systems broadcast in the digital environment. The author tried to find out what values and attitudes are behind the statements that the very concept of education in the classical sense is outdated, that higher education is doubtful, and self-learning is coming to replace it, and what role online learning plays in this. The purpose of the study is to identify the modality of the influence of digitalization on the value orientations of Russian youth, their characteristic behavior patterns, to show trends towards an increase in the importance of the value of education as young people become more involved in a virtual society. The research methodology is based on the concept of a stage model of digitalization, the concept of social Internet networks, the theory of the information age, and quantitative and qualitative analysis. Secondary data of domestic and foreign sample studies devoted to the problem of changing the value orientations of student youth in the digital environment are used. A pilot survey of young users of social networks aged 18 to 27 was completed, the sample size was 228 people. The results of the study revealed the contradictions that arise from the serious transformation of basic values of society under the influence of the development of digital technologies and the improvement of digital innovations in the education system.

A lexical approach for identifying behavioural action sequences.

Animals display characteristic behavioural patterns when performing a task, such as the spiraling of a soaring bird or the surge-and-cast of a male moth searching for a female. Identifying such recurring sequences occurring rarely in noisy behavioural data is key to understanding the behavioural response to a distributed stimulus in unrestrained animals. Existing models seek to describe the dynamics of behaviour or segment individual locomotor episodes rather than to identify the rare and transient sequences of locomotor episodes that make up the behavioural response. To fill this gap, we develop a lexical, hierarchical model of behaviour. We designed an unsupervised algorithm called "BASS" to efficiently identify and segment recurring behavioural action sequences transiently occurring in long behavioural recordings. When applied to navigating larval zebrafish, BASS extracts a dictionary of remarkably long, non-Markovian sequences consisting of repeats and mixtures of slow forward and turn bouts. Applied to a novel chemotaxis assay, BASS uncovers chemotactic strategies deployed by zebrafish to avoid aversive cues consisting of sequences of fast large-angle turns and burst swims. In a simulated dataset of soaring gliders climbing thermals, BASS finds the spiraling patterns characteristic of soaring behaviour. In both cases, BASS succeeds in identifying rare action sequences in the behaviour deployed by freely moving animals. BASS can be easily incorporated into the pipelines of existing behavioural analyses across diverse species, and even more broadly used as a generic algorithm for pattern recognition in low-dimensional sequential data.

Short-term Heart Rate Variability Analysis in Healthy Dogs of Different Ages

Background: The modulation of heart rate by autonomic nervous system may be evaluated by the heart rate variability (HRV), which illustrates the fluctuations between RR intervals. To evaluate this analysis, the intervals between 2 QRS complexes are measured. In general, high HRV values are expected in healthy individuals; otherwise, low values are indicative of organism dysfunction. Studies conducted in healthy humans show that HRV suffers reduction with ageing and that there is autonomic immaturity in neonates. The aim of this study was to describe the characteristic pattern of cardiac autonomic behavior in healthy dogs in different age groups through short-term HRV analysis.Materials, Methods & Results: A total of 87 healthy dogs were studied. HRV was analyzed in time and frequency domain, using Holter and heart rate monitor. It was observed that puppies (below one year old) presented a lower parasympathetic predominance and, consequently, lower HRV values on time domain (SDNN, PNN50% e RMSSD) compared to the other 2 groups and on frequency domain (LF, HF and LF/HF) compared to the adult animals group (between 1 and 7-year-old), which presented higher HRV values when compared to the other groups. Elderly dogs (over 8-year-old) exhibited a natural tendency to decrease cardiac parasympathetic HRV indexes.Discussion: The use of the HRV method as a prognostic index and as an arrhythmogenic marker for various canine heart diseases presents interesting perspectives. However, before it may be employed for these purposes, a better understanding should be established regarding the physiological behavior of autonomic cardiac modulation in different age groups to serve as a basis for future analyses. This study observed that puppies presented higher values for HR and, therefore, shorter RR intervals than the other groups (adult and elderly dogs), what was observed on Holter and heart rate monitor methods (HRM). There were significant differences between puppies and the other 2 groups (adults and elderly) for all time-domain variables using both methods (Holter and HRM methods). SDNN was significantly lower in puppies compared to adults and elderly dogs. In addition, both RMSSD and PNN50%, which were more reliable over shorter periods of time, also presented means and medians that were significantly lower in puppies. Regarding frequency-domain HRV parameters observed on Holter method, these indexes were decreased on the elderly group compared to adult dogs, which is a possible effect of aging. Also, puppies revealed lower frequency-domain HRV parameters on both methods when compared to adult dogs. The influence of age on HRV is possibly related to the stage of development of an individual, starting at conception up to the maturity in relation to the mechanisms that cause variations in HR. There are studies in humans that suggest a gradual increase in parasympathetic activity during childhood, followed by a steady decrease as aging occur. The present study observed the same pattern in dogs. The balance between sympathetic and parasympathetic systems is influenced by age in dogs, which alters HRV values in the short-term. The HRV method´s analysis is relatively simple and non-invasive for assessing cardiac autonomic function; also, it is widely used in human medicine as a risk measure for sudden cardiac death. The 24-hour HRV analysis is highly challenging, as it is time-consuming, expensive, delays diagnosis, and has a large number of artifacts; in this way, standards for its short-term analysis were developed. Keywords: cardiology, autonomic nervous system, heart rate monitor, Holter.

Effect of training program on sexual knowledge and social skills of adolescents with high-functioning autism in puberty

PurposeAutism spectrum disorder (ASD) refers to a group of complex neurodevelopmental disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. Puberty is an important period for teenagers with ASD. The purpose of this study was to investigate the effect of educational program on increasing social skills (SS) and sexual knowledge (SK) in adolescent boys with high-functioning autism (HFA) disorder.Design/methodology/approachThis study was conducted using a single-subject design. Participants were three boys diagnosed with HFA disorder, selected using purposive sampling. The social skills improvement system scale and the sexual knowledge questionnaire were used to measure SS and SK. The training program consisted of 49 sessions.FindingsResults showed that, given the comparison of scores before and after the intervention, the training program was effective in improving SS and SK.Originality/valueWith regard to the importance of puberty, training programs for parents and adolescents play an effective role in increasing SS and SK of adolescents with HFA disorder.

Suriyanamaskar Enhances Physical Fitness of Children with Autism Spectrum Disorder

In the recent past there is an increasing awareness on care for special needs population in India. Among all the disabilities Autism is gaining lot of attention and is found to be of most mainly due to the behavioral deviations of children. It is very important to identify children with autism as early as possible. This article being a scientific paper is being translated in Tamil to create awareness among the urban and rural families about autism, its identification, screening, diagnosis and intervention programs for children with autism. One among the most important traditional, natural, side effect free intervention is Yoga. Autism Spectrum Disorder refers to a group of complex neurodevelopment disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. The symptoms are present from early childhood and affect daily functioning. Evidence-based treatment options for Autism are limited. The objective of this investigation was to examine the effect of Yoga on selected physical fitness variables of children with autism. 20 high functional autistic children between 6 - 13 years were into yoga intervention for 6 weeks. Initial and final testing on physical fitness variables such as flexibility, coordination and strength were conducted. After of the training period post test was conducted on the dependent variables for both the groups. Based on the results it was concluded that the implication of Yoga practice might have been the source of its dominance on the improvement of physical fitness variables of children with autism.

Reinforcer pathology II: Reward magnitude, reward delay, and demand for alcohol collectively relate to college students' alcohol related problems.

The reinforcer pathologies model of addiction posits that two characteristic patterns of operant behavior characterize addiction. Specifically, individuals suffering from addiction have elevated levels of behavioral economic demand for their substances of abuse and have an elevated tendency to devalue delayed rewards (reflected in high delay discounting rates). Prior research has demonstrated that these behavioral economic markers are significant predictors of many of college students' alcohol-related problems. Delay discounting, however, is a complex behavioral performance likely undergirded by multiple behavioral processes. Emerging analytical approaches have isolated the role of participants' sensitivity to changes in reinforcer magnitude and changes in reinforcer delay. The current study uses these analytic approaches to compare participants' discounting of money versus alcohol, and to build regression models that leverage these new insights to predict a wider range of college students' alcohol related problems. Using these techniques, we were able to 1) demonstrate that individuals differed in their sensitivity to magnitudes of alcohol versus money, but not sensitivity to delays to those commodities and 2) that we could use our behavioral economic measures to predict a range of students' alcohol related problems.

Evaluation of Serum Oxytocin Hormone Level in Children with Autism

Background: Autism spectrum disorder (ASD) is a gathering of complex neuro-improvement issueportrayed by repetitive and characteristic patterns of behavior and difficulties with social correspondenceand cooperation.Aim: to study oxytocin levels in the serum of children with autism and its relation with disorder..Patients and Methods: Across-section study was carried out at Pediatric Hospital- Kirkuk-Iraq in a periodbetween the 10th of Jan 2019 30th July 2019. 55 children with autism and 25 healthy children, with thesame age group, were subjected to this study. Biochemical tests were done for estimation of serum Oxytocinhormone levels in children with autism and comparing them with serum OT hormone levels in controlgroup.Results: The results showed that there was a significant (P< 0.05) decrease in the levels of serum Oxytocinhormone in children with autism which declined to 69.67 ± 10.122 Pg/ml as mean values among childrenwith autism when compared with same parameters in control children which was 108.44 ± 4.33 Pg/ml.Conclusion: It was concluded that children with autism disorder have lower serum level of oxytocinhormone than normal healthy children.

A potential role of fatty acid binding protein 4 in the pathophysiology of autism spectrum disorder.

Autism spectrum disorder is a neurodevelopmental disorder characterized by difficulties in social communication and interaction, as well as repetitive and characteristic patterns of behaviour. Although the pathogenesis of autism spectrum disorder is unknown, being overweight or obesity during infancy and low weight at birth are known as risks, suggesting a metabolic aspect. In this study, we investigated adipose tissue development as a pathophysiological factor of autism spectrum disorder by examining the serum levels of adipokines and other metabolic markers in autism spectrum disorder children (n = 123) and typically developing children (n = 92) at 4–12 years of age. Among multiple measures exhibiting age-dependent trajectories, the leptin levels displayed different trajectory patterns between autism spectrum disorder and typically developing children, supporting an adipose tissue-dependent mechanism of autism spectrum disorder. Of particular interest, the levels of fatty acid binding protein 4 (FABP4) were significantly lower in autism spectrum disorder children than in typically developing subjects, at preschool age (4–6 years old: n = 21 for autism spectrum disorder and n = 26 for typically developing). The receiver operating characteristic curve analysis discriminated autism spectrum disorder children from typically developing children with a sensitivity of 94.4% and a specificity of 75.0%. We re-sequenced the exons of the FABP4 gene in a Japanese cohort comprising 659 autism spectrum disorder and 1000 control samples, and identified two rare functional variants in the autism spectrum disorder group. The Trp98Stop, one of the two variants, was transmitted to the proband from his mother with a history of depression. The disruption of the Fabp4 gene in mice evoked autism spectrum disorder-like behavioural phenotypes and increased spine density on apical dendrites of pyramidal neurons, which has been observed in the postmortem brains of autism spectrum disorder subjects. The Fabp4 knockout mice had an altered fatty acid composition in the cortex. Collectively, these results suggest that an ‘adipo-brain axis’ may underlie the pathophysiology of autism spectrum disorder, with FABP4 as a potential molecule for use as a biomarker.

Data Mining Approach in Evaluation of Sustainable Entrepreneurship

Abstract In recent years, the concept of sustainable entrepreneurship has gained importance as a result of the growing importance of social and environmental activities undertaken by enterprises. Currently, such activities are an integral part of the functioning of enterprises, and their connection with traditionally understood entrepreneurship has contributed to the broader implementation of the concept of sustainable entrepreneurship. Under this concept, enterprises pursue various goals that include three groups: economic, ecological and social goals, with the last two groups being the subject of the study of this article. The article aims to present the results of the survey, their analysis and interpretation. The study focused on searching for similarities between enterprises and identifying on this basis specific characteristic behavioral patterns. Due to a large number of objects and features in the data set, we used Orange Data Mining. An approach to the analysis of survey data using the clustering method and visualization in the form of tables and charts were proposed—the analysis aimed at isolating the characteristic attitudes of enterprises in the implementation of social and environmental goals. The obtained results indicate the directions for improving their strategies in implementing the assumptions of the concept of sustainable entrepreneurship.

Differences in structure and dynamics of networks retrieved from dark and public web forums

Humans make decisions based on the information they obtain from several major sources, among which the comments of others in Internet forums play an increasing role. Such forums cover a wide spectrum of topics and represent an essential tool in choosing the best products, manipulating views or optimizing our decisions regarding a number of aspects of our everyday life. However, many forums have extremely controversial topics and contents including those which radicalize the readers or spread information about dangerous products and ideas (e.g., drugs, weapons or aggressive ideologies). These just mentioned activities are taking place mainly on the so called “dark web” allowing the hiding of the identity of members using dark forums. We use network theoretical approaches to analyze the data we obtained by studying the connectivity features of the members and the threads within a wide selection of forums (including dark and semi-dark) and establish several characteristic behavioral patterns. Our findings reveal both common and rather different features in the two types of behavior. In particular, we show that the various distributions of quantities, like the activity of the commenters, the dynamics of the threads (defined using their lifetime) or the degree distributions corresponding to the three major types of forums we have investigated display characteristic deviations. This knowledge can be useful, for example, in identifying an activity typical for the dark web when it appears in the public web (since the public web can be accessed and used much more easily).

Parenting in Patients with Borderline Personality Disorder, Sequelae for the Offspring and Approaches to Treatment and Prevention.

We review recent findings concerning the implications of borderline personality disorder (BPD) on parenting behaviors, the parent-child relationships, and parental and child outcomes. We focus on self-report and interview data characterizing parents with BPD and their children as well as on observational paradigms investigating parent-child relationships and the quality of dyadic interactions. Novel treatment approaches are discussed. Parents with BPD suffer from increased parenting stress and display characteristic behavioral patterns towards their children, impeding the formation of a healthy parent-child relationship and disrupting offspring emotional development. Offspring are at greater risk of maltreatment and developing BPD themselves, with parental affective instability playing a substantial mediating role. Mothers with BPD face a meaningful burden in their parenting role. Mechanisms of the transmission of BPD pathology onto the following generation are beginning to be understood. Targeted interventions have been devised recently, with preliminary testing producing encouraging results.

Residential activity pattern modelling through stochastic chains of variable memory length

Residential activity modelling has attracted considerable attention over the last years. This is particularly due to the fact that residential energy demand loads are highly dependent on the activity patterns of the household. Therefore, activity models are being increasingly used to underpin high-resolution energy demand models. This paper details the implementation of a new methodology for the analysis of empirical activity data that allows for the identification of characteristic behavioural patterns within them. The identified patterns are then used as the basis for the construction of a high-resolution residential user activity model. The model attempts to capture the statistical characteristics of the empirical data in the form of a stochastic process with memory of variable length. The proposed model is compared to a model based on the predominant first-order Markov chain approach. In addition to the modelling approach, a new metric for assessing the quality of activity sequences simulations is proposed. Given the amount of empirical data contained in any of the individual time-use datasets currently available, it would appear that the performance improvement over the predominant first-order Markov chain approach is modest. However, the validation results show that the proposed approach has the potential for broadening our understanding of the scheduling of activities in people’s day-to-day lives and how this relates to the observed variability in both activity and energy consumption patterns.

Prevalence of Autism Spectrum Disorder (ASD) among the children aged 18-36 months in a rural community of Bangladesh: A cross sectional study

Background: Autism spectrum disorder (ASD) refers to a group of complex neurodevelopment disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. In Bangladesh, autism in children is a significant burden of disease. Early identification of ASD could improve quality of life. The study has explored at the prevalence of ASD among rural community children aged between 18-36 months. Methods: A cross sectional study was conducted among the 5286 children aged between 18-36 months in a rural community. Household level data was collected using screening tool MCHAT. Primarily screening positive 66 children were invited for final diagnosis in a health camp. Diagnosis was made by different staging started from primary screening, followed by validation using MCHAT and flash card. Final diagnosis was made by the paediatric neurologists, child clinical psychologists and development therapist using diagnostic tools (DSM-IV & ADOS). Results: 04 children were diagnosed with autism spectrum disorder (ASD). Prevalence of the ASD in rural community was found 0.75/1000 children. Among the four ASD cases three were boys and one was girl and age range was between 20- 30 months. Whereas, the highest prevalence rate found was for the cerebral palsy which was 5.6/1000 children and Developmental delay (2.6/1000) was the next to that. Conclusions: Age specific autism (18-36 months) in children is found higher in rural community of Bangladesh. In order to get more comprehensive information on autism in other age groups of children in rural community, further study is required. Early detection in rural community could help the policy makers to decentralization of health services among the ASD children in rural community.

Prevalence of Autism Spectrum Disorder (ASD) among the children aged 18-36 months in a rural community of Bangladesh: A cross sectional study.

Background: Autism spectrum disorder (ASD) refers to a group of complex neurodevelopment disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. In Bangladesh, autism in children is a significant burden of disease. Early identification of ASD could improve quality of life. The study has explored at the prevalence of ASD among rural community children aged between 18-36 months. Methods: A cross sectional study was conducted among the 5286 children aged between 18-36 months in a rural community. Household level data was collected using screening tool MCHAT. Primarily screening positive 66 children were invited for final diagnosis in a health camp. Diagnosis was made by different staging started from primary screening, followed by validation using MCHAT and flash card. Final diagnosis was made by the paediatric neurologists, child clinical psychologists and development therapist using diagnostic tools(DSM-IV & ADOS). Results: 04 children were diagnosed with autism spectrum disorder (ASD). Prevalence of the ASD in rural community was found 0.75/1000 children. Among the four ASD cases three were boys and one was girl and age range was between 20- 30 months. Whereas, the highest prevalence rate found was for the cerebral palsy which was 5.6/1000 children and Developmental delay (2.6/1000) was the next to that. Conclusions: Age specific autism (18-36 months) in children is found higher in rural community of Bangladesh.In order to get more comprehensive information on autism in other age groups of children in rural community, further study is required. Early detection in rural community could help the policy makers to decentralization of health services among the ASD children in rural community.

The Conjunction Fallacy in Quantum Decision Theory

The conjunction fallacy is a renowned violation of classical probability laws, which is persistently observed among decision makers. Within Quantum decision theory (QDT), such deviations are the manifestation of interference between decision modes of a given prospect. We propose a novel interpretation of the conjunction fallacy, which cures some inconsistencies of a previous treatment, and incorporates the latest developments of QDT, in particular the representation of a decision-maker's state of mind with a statistical operator. Rather than focusing on the interference between choice options, our new interpretation identifies the origin of uncertainty and interference between decision modes to an entangled state of mind, whose structure determines the representation of prospects. On par with prospects, the state of mind can be a source of uncertainty and lead to interference effects, resulting in characteristic behavioral patterns. We present the first in-depth QDT-based analysis of an empirical study (the touchstone experimental investigations of Shafir et al. (1990)), which enables a data-driven exploration of its underlying theoretical construct. We link typicality judgements to probability amplitudes of the decision modes in the state of mind, and quantify the level of uncertainty and the relative contributions of prospect's interfering modes to its probability judgement. This enables inferences about the key interference attraction'' q-factor with respect to different types of prospects - compatible versus incompatible. We propose a novel empirically motivated QDT indeterminacy (or uncertainty) principle,'' as a fundamental limit of the precision with which certain sets of prospects can be simultaneously known (or assessed) by a decision maker, or elicited by an experimental procedure. For any type of prospects, we observe a general tendency for the q-factor to converge to the same negative range q > (−0.3,−0.1) in the presence of high uncertainty, which motivates the hypothesis of an universal aversion'' q. The aversion'' q is independent of the (un-)attractiveness of a prospect under more certain conditions, which is the main difference with the previously considered QDT quarter law''. The universal aversion'' q substantiates the previously proposed QDT uncertainty aversion principle'' and clarifies its domain of application. The universal aversion'' q provides a theoretical basis for modelling different risk attitudes, such as aversions to uncertainty, to risk or to losses.

Cooperation with characters: How a partner's personality disorder decreases cooperation in two economic games

How does your personality affect how others treat you? Previous research suggests the characteristic patterns of social behavior in personality disorders can be captured using economic games. Here we test the opposite: whether personality disorders elicit characteristic patterns of social behavior from others. Participants read vignettes portraying individuals with one of eight DSM-5 personality disorders (plus a control vignette) then played either a Prisoner's Dilemma (Experiment 1) or Chicken (Experiment 2) game with a confederate said to have been interviewed and portrayed by each vignette. Experiment 1 found higher cooperation rates in response to the control vignette in comparison to all personality disorder vignettes. Experiment 2, found similar results, apart from the vignette depicting schizoid personality disorder. Findings suggest that people use information about personality to guide how they interact with others. They also illuminate the role others play in the difficult social situations those with personality disorders frequently experience.

Caring Cooperators and Powerful Punishers: Differential Effects of Induced Care and Power Motivation on Different Types of Economic Decision Making

Standard economic theory postulates that decisions are driven by stable context-insensitive preferences, while motivation psychology suggests they are driven by distinct context-sensitive motives with distinct evolutionary goals and characteristic psycho-physiological and behavioral patterns. To link these fields and test how distinct motives could differentially predict different types of economic decisions, we experimentally induced participants with either a Care or a Power motive, before having them take part in a suite of classic game theoretical paradigms involving monetary exchange. We show that the Care induction alone raised scores on a latent factor of cooperation-related behaviors, relative to a control condition, while, relative to Care, Power raised scores on a punishment-related factor. These findings argue against context-insensitive stable preferences and theories of strong reciprocity and in favor of a motive-based approach to economic decision making: Care and Power motivation have a dissociable fingerprint in shaping either cooperative or punishment behaviors.