Decision-making bioinspired model for target definition and “satisfactor” selection for physiological needs

Every person, from an early age, has to make decisions to resolve situations that arise in life. In general, different people make different decisions in the same situation, since decision-making takes into account different factors such as age, emotional state, experience, among others. We can make decisions about situations that we classify as: more important than others, routine, unexpected, or trivial. However, making the correct decision(s) in a timely manner for these situations is one of the most complex and delicate challenges that human beings face. This is due to the arduous mental process required to be carried out. Providing such behavior to a virtual entity is possible through the use of Cognitive Architectures (CAs). CAs are an approach for modeling human intelligence and behavior. This paper presents an functional bioinspired computational decision-making model to satisfy the physiological needs of hunger and thirst. Our proposal considers as black boxes other cognitive functions that are part of a general CA (named Cuäyöllötl or brain in Nahuatl). In the proposed case study, it is proved that the decision-making process plays an essential role in determining the objective and selecting the object that satisfies the established need.     

Declarative working memory: A bio-inspired cognitive architecture proposal

Memory is considered one of the most important functions since it allows us to code, store and retrieve knowledge. These qualities make it an indispensable function for a virtual creature. In general, memory can be classified based on the durability of the stored data in working memory and long-term memory. Working memory refers to the capacity to maintain temporarily a limited amount of information in mind, which can then be used to support various abilities, including learning, reasoning, planning and decision-making. Unlike short-term memory, working memory is not only a storage site, but it is also a framework of interacting processes that involve the temporary storage and manipulation of information in the service of performing complex cognitive activities. Declarative memory is a type of long-term memory related with the storage of facts and events. This research focuses on the development of a cognitive architecture for the type of working memory that maintains and manipulates declarative information. The construction of the model was grounded in theoretical evidence taken from cognitive sciences such as neuroscience and psychology, which gave us the components and their processes. The model was evaluated through a case study that covers the encoding, storing, and retrieval stages. Our hypothesis is that a virtual creature endowed with our working memory model will provide faster access to the information needed for the ongoing task. Therefore, it improves the planning and decision-making processes.     

Assessing Trauma Impact,Recovery, and Resiliency in Refugees of War

Abstract

This paper describes the psychometric properties and process of using the Multidimensional Trauma Recovery and Resiliency Scale (MTRR) with 83 untreated war-affected adolescent and adult refugees of diverse cultures, family of origin, age, gender, and time since the war. The MTRR met reliability, validity, and utility criteria with this convenience sample. This paper discusses modifications made to the MTRR-I format, questions, and prompts to enable work with the wide range of ages and cultures represented in the sample. The results support the MTRR as a tool that may have the ability to capture the complexity of culture as well as measure a variety of trauma responses and work with other measurements. Limitations of the study and avenues of future research are discussed.     

The emergence of the ecological mind in Hua‐Yen/Kegon Buddhism and Jungian psychology

The complexity associated with deep interconnectedness in nature is beginning to be articulated and elaborated in the field of ecological studies. While some parallels to the psyche have been made and the field of Eco‐psychology has been developing, Jung's explicit contribution by way of the image of rhizomes has not been considered in detail. Philosopher Gilles Deleuze acknowledges borrowing the term from Jung, though he disagreed with Jung's Empedoclean use of the term. The paper presents some fundamental properties of rhizomes along with contemporary scientific research on mycorrhizal (fungal) networks. Comparisons are made, first with classical symbolic forms, demonstrating some overlap but also some differences. Then comparison of rhizomal networks is made to those found both in mammalian brains and in recent images of the ‘cosmic web’. While no hard conclusions can be drawn from these images, their remarkable similarities are suggestive of a need to reconsider what is meant by ‘intelligence’. The cosmic web is one of the largest structures in the known universe (clusters of galaxies which form into filaments and walls) with empty spaces in between. Exploration of the structure of this web leads to a discussion of dark matter and dark energy, current hot topics in science, probing into the mysteries of our ‘Big‐Bang’ cosmology. An additional comparison of the emerging image of the universe as a whole with the ancient Chinese Buddhist cosmological vision from the Hua‐Yen School (Kegon in Japan) again reveals profound parallels. The potential convergence of aspects of subjective, or meditative, explorations with objective scientific constructions is striking and offers links between East and West, as well as potential confirmation of the objective aspects of empathy.     

Pupil responses to grammatical complexity of sentences

Measurements of pupil size were taken of nine subjects while they listened to sentences of various length, construction, and content, with the instruction to rate them for comprehensibility. Twenty-one sentence types were rated. Each was assigned, via a transformational grammar, a value of grammatical complexity. Mean pupil dilation during listening as an index of psychological complexity was found to correlate more strongly with grammatical complexity than did subject ratings of sentence comprehensibility. These findings suggest that the pupil may have considerable use as an “on-line” monitor of cognitive load imposed by grammatical complexity of sentences.     

Bio-inspired cognitive model of motor learning by imitation

Learning, and even more so by imitation, is an essential Cognitive Functions because it is carried out throughout life and allows us to adapt our behaviors from other beings through observation. In this work, we propose a model, and implementation of the cognitive function of imitation motor learning (IML), based on psychological and neuroscientific evidence. According to the evidence, learning by imitation includes imitation of action and imitation of action over an object sub-processes. The imitation of action consists of the movement of the limbs. The imitation of action over an object consists of the interaction with an object within the environment. We achieve an implementation of the proposed model for IML and endow a virtual entity with it. In order to validate the proposal, we use a case study to analyze the sub-processes performance. From results, we conclude that both imitation of action and imitation of action over an object sub-processes play an essential role in getting the agent to interact with stimuli within the environment.     

The emergence of functional play in infants: Evidence for a major cognitive transition

Sixty-four infants, eight boys and eight girls at each of four ages, $\text{9}\text{1}\text{2}\text{, 11}\text{1}\text{2}\text{, 13}\text{1}\text{2}\text{,}\text{and}\text{15}\text{1}\text{2}$ months, were observed during a 15-minute free play session. Three types of play (stereotypical, relational, and functional) and the number of appropriate uses for specific realistic toys were recorded. Stereotypical play (87% of total active play at $\text{9}\text{1}\text{2}$ months) gave way to relational (35% at $\text{13}\text{1}\text{2}$ months) and functional play (52% at $\text{15}\text{1}\text{2}$ months) as the dominant activity. Both functional play and the number of different appropriate uses of toys were rare at $\text{9}\text{1}\text{2}$ months, appeared reliably at $\text{11}\text{1}\text{2}$ months and increased lineraly through $\text{15}\text{1}\text{2}$ months. A change in the quality of play from indiscriminate mouthing, waving, banging, and fingering of objects to the matching of appropriate uses for a large array of toys indicates that the child's manipulations become more object specific and functional over this 6-month age span. Among possible explanations for the linear increase in the frequency and diversity of appropriate toy uses is the suggestion that an important cognitive change occurs toward the end of the first year of life. A case study is presented to illustrate the application of the play procedure for both assessment and treatment.     

De la prédiction à la compréhension : recension des dimensions psychologiques de la Statique-99

Although widely used in North America, actuarial risk assessment tools have been criticized for their inability to capture the causal dynamics leading to criminal recidivism. In this article, we present a conceptual framework for linking static, historical risk factors to the psychological vulnerabilities that are targeted in offender treatment. To illustrate this model, a literature review was conducted that identified the psychological dimensions that underlie the items of the Static-99, the most widely used actuarial scale for predicting sexual recidivism. Two key dimensions were identified: sexual criminality, indicative of sexual deviance and/or sexual preoccupation, and general criminality, indicative of antisocial traits and/or psychopathy.     

The extended ramp model: A biomimetic model of behaviour arbitration for lightweight cognitive architectures

In this article, we present an idea for a more intuitive, low-cost, adjustable mechanism for behaviour control and management. One focus of current development in virtual agents, robotics and digital games is on increasingly complex and realistic systems that more accurately simulate intelligence found in nature. This development introduces a multitude of control parameters creating high computational costs. The resulting complexity limits the applicability of AI systems. One solution to this problem it to focus on smaller, more manageable, and flexible systems which can be simultaneously created, instantiated, and controlled. Here we introduce a biologically inspired systems-engineering approach for enriching behaviour arbitration with a low computational overhead. We focus on an easy way to control the maintenance, inhibition and alternation of high-level behaviours (goals) in cases where static priorities are undesirable. The models we consider here are biomimetic, based on neuro-cognitive research findings from dopaminic cells responsible for controlling goal switching and maintenance in the mammalian brain. The most promising model we find is applicable to selection problems with multiple conflicting goals. It utilizes a ramp function to control the execution and inhibition of behaviours more accurately than previous mechanisms, allowing an additional layer of control on existing behaviour prioritization systems.