Computational cognitive modelling of action awareness: prior and retrospective

This paper presents a computational cognitive model for action awareness focusing on action preparation and performance by considering its cognitive effects and affects from both prior and retrospective form relative to the action execution. How action selection and execution contribute to the awareness or vice versa is a research question, and from the findings of brain imaging and recording techniques more information has become available on this. Some evidence leads to a hypothesis that awareness of action selection is not directly causing the action execution (or behaviour) but comes afterwards as an effect of unconscious processes of action preparation. In contrast, another hypothesis claims that both predictive and inferential processes related to the action preparation and execution may contribute to the conscious awareness of the action, and furthermore, this awareness of an action is a dynamic combination of both prior awareness (through predictive motor control processes) and retrospective awareness (through inferential sense-making processes) relative to the action execution. The proposed model integrates the findings of both conscious and unconscious explanations for both action awareness and ownership and acts as a generic computational cognitive model to explain agent behaviour through the interplay between conscious and unconscious processes. Validation of the proposed model is achieved through simulations on suitable scenarios which are covered with actions that are prepared without being conscious at any point in time, and also with the actions that agent develops prior awareness and/or retrospective awareness. Having selected an interrelated set of scenarios, a systematic approach is used to find a suitable but generic parameter value set which is used throughout all the simulations that highlights the strength of the design of this cognitive model

Work Together or Fight Together:Modeling Adaptive Cooperative and Competitive Metaphors as Mental Models for Joint Decision Making

In this chapter, joint decision making processes are studied and the role of cognitive metaphors as mental models in them. A second-order self-modeling network model is introduced based on mechanisms known from cognitive and social neuroscience and cognitive metaphor and mental model literature. The cognitive metaphors were modeled as specific forms of mental models providing a form of modulation within the joint decision making process. The model addresses not only the use of these mental models in the decision making, but also their Hebbian learning and the control over the learning. The obtained self-modeling network model was applied to two types of metaphors that affect joint decision making in different manners: a cooperative metaphor and a competitive metaphor. By a number of scenarios it was shown how the obtained self-modeling network model can be used to simulate and analyze joint decision processes and how they are influenced by such cognitive metaphors.</p

Escalating Commitment: Business Investments and CSR

There are many instances, in all areas of business, in which individuals can become committed to a course of action that begins costing more than it is producing. Because it is often possible for persons who have suffered a setback to recoup their losses through an even greater commitment of resources to the same course of action, a cycle of escalating commitment can be produced (Staw, 1981). This thesis serves to address prior literature and prior studies based on the theory of escalation behavior . We furthered our research by conducting an experiment using university students to test certain said theory with the incorporation of specific variables (i.e. tax-avoidance strategies vs. sustainable investing). As such, this thesis was designed with the purpose of trying to understand why such behavior exists and what factors may have significant influence on the cycle known as escalating commitment

The Impact of Neuro-Education Intervention Methods Upon the Learning and Development of an Individual with Developmental Disabilities

The purpose of this qualitative retrospective case study was to measure the impact that intervention methods derived from Arwood’s Neuro-Education Model had upon the learning and development of one young adult with moderate to severe developmental disabilities. One participant received the intervention methods over the course of 2 years from a single practitioner operating in a private clinic setting. Drawings, writings, and oral language samples were coded and analyzed to track how the participant evolved over time in the developmental domains of cognition, language, and social-emotional functioning. Additionally, these same artifacts were coded and analyzed to identify changes to the participant’s capacity for learning, as measured by language function. At the onset of the study the participant was 16 years of age, yet functioned at levels associated with 3- to 4-year-old developmental milestones. Results demonstrated that the participant exhibited approximately 3 years of growth in language development, 2 years of growth in cognitive development, and 3 years of growth in social-emotional development during the time period studied. Similarly, results showed that the participant advanced in all measured language functions including semanticity function, referential function, productivity function, flexibility function, and displacement of ideas. These advancements were observed in multiple literacy processes including thinking, speaking, listening, reading, writing, drawing, observing, and calculating. The participant was also reported to have experienced demonstrable changes to their quality of life including greater social-emotional engagement with family members and peers at school. Though this study was not experimental by design, and thus causation could not be confirmed, the changes observed in the participant throughout this study were hypothesized to have occurred primarily due to their exposure to the Neuro-Education based methods, as these particular interventions had not been experienced by the participant prior to them initiating services at the clinic setting

Layered evaluation of interactive adaptive systems : framework and formative methods

Peer reviewedPostprin

Beyond the “urge to move”: objective measures for the study of agency in the post-Libet era

The investigation of human volition is a longstanding endeavor from both philosophers and researchers. Yet because of the major challenges associated with capturing voluntary movements in an ecologically relevant state in the research environment, it is only in recent years that human agency has grown as a field of cognitive neuroscience. In particular, the seminal work of Libet et al. (1983) paved the way for a neuroscientific approach to agency. Over the past decade, new objective paradigms have been developed to study agency, drawing upon emerging concepts from cognitive and computational neuroscience. These include the chronometric approach of Libet’s study which is embedded in the “intentional binding” paradigm, optimal motor control theory and most recent insights from active inference theory. Here we review these principal methods and their application to the study of agency in health and the insights gained from their application to neurological and psychiatric disorders. We show that the neuropsychological paradigms that are based upon these new approaches have key advantages over traditional experimental designs. We propose that these advantages, coupled with advances in neuroimaging, create a powerful set of tools for understanding human agency and its neurobiological basis

Human-artificial intelligence engagement exploring the perspectives of users and tourism managers

The progress and sophistication of technological systems promise to accelerate the tourism sector, influencing business management at the commercial, human resources, and planning levels. The main objective of this thesis is to analyse the evolution of the literature on artificial intelligence and how it can be integrated with the constructs of engagement, intimate knowledge, authenticity, attachment, and psychological ownership. Several analyses were carried out to achieve the intended results. First, a comprehensive literature review was done, through the analysis of scientific articles, to understand the development of scientific research on artificial intelligence and user engagement. Secondly, a qualitative study was conducted to evaluate the impact of virtual assistants in the tourism industry, both at the organization and customer levels, using the thematic analysis method in structured interviews with top managers of the tourism sector. The results show that the benefits of using artificial intelligence outweigh the negative ones and will impact firm management. Finally, two quantitative studies were performed to analyse which factors influence customer engagement. The first study analyses the constructs of authenticity and attachment as motivators of engagement between tourists and virtual assistants, proving that these factors significantly influence the interaction between both. The second study investigates the communication between the virtual assistant and the user, emphasizing the importance of intimate knowledge, authenticity, and connection as psychological motivators. The results show that all three constructs significantly impact customer engagement with the virtual assistant

The Seasons of Wellbeing as an Evolutionary Map for Transpersonal Medicine

The four Seasons of Wellbeing (Discover, Transform, Awaken, and Integrate) refer to distinct rhythms, periods, and factors that influence the accessibility of an individual’s resources during the journey of life. Each season is explicitly and implicitly related to an individual’s experience, focus, and capacity for self-organizational states. Each can be used to understand, organize, and foster behavior change, positive growth, transformation, and human development. A genealogy of the seasons is described, emphasizing the empirical and theoretical foundations of Reorganizational Healing and its roots in models such as Grof ’s Systems of Condensed Experiences (or COEX Systems) and Wilber’s Integral Theory and Pre/Trans Fallacy. In the context of transpersonal medicine, the seasons offer a framework through which various levels and states associated with an individual’s growth can be mapped and utilized for personal evolution. In this context, seasons are applicable for practitioners and clients who have used transpersonal states to avoid painful emotions or difficult actions. The seasons can guide transpersonal medical clients on a path towards transpersonal being and integration of various states leading to a higher organizational baseline. As a practical tool, the seasons have pertinence in the development of “transpersonal vigilance,” a term defined in this article. The seasons offer resources to practitioners to support clients toward transpersonal being, in a reorganizationally informed or reorganizational way