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Political ecology is the study of the relationships between political, economic and social factors with environmental issues and changes. Political ecology differs from apolitical ecological studies by politicizing environmental issues and phenomena.
In environmental philosophy, environmental ethics is an established field of practical philosophy "which reconstructs the essential types of argumentation that can be made for protecting natural entities and the sustainable use of natural resources." The main competing paradigms are anthropocentrism, physiocentrism, and theocentrism. Environmental ethics exerts influence on a large range of disciplines including environmental law, environmental sociology, ecotheology, ecological economics, ecology and environmental geography.
The theory of structuration is a social theory of the creation and reproduction of social systems that is based on the analysis of both structure and agents, without giving primacy to either. Furthermore, in structuration theory, neither micro- nor macro-focused analysis alone is sufficient. The theory was proposed by sociologist Anthony Giddens, most significantly in The Constitution of Society, which examines phenomenology, hermeneutics, and social practices at the inseparable intersection of structures and agents. Its proponents have adopted and expanded this balanced position. Though the theory has received much criticism, it remains a pillar of contemporary sociological theory.
User-centered design (UCD) or user-driven development (UDD) is a framework of process in which usability goals, user characteristics, environment, tasks and workflow of a product, service or process are given extensive attention at each stage of the design process. These tests are conducted with/without actual users during each stage of the process from requirements, pre-production models and post production, completing a circle of proof back to and ensuring that "development proceeds with the user as the center of focus." Such testing is necessary as it is often very difficult for the designers of a product to understand intuitively the first-time users of their design experiences, and what each user's learning curve may look like. User-centered design is based on the understanding of a user, their demands, priorities and experiences and when used, is known to lead to an increased product usefulness and usability as it delivers satisfaction to the user.
Policy analysis is a technique used in public administration to enable civil servants, activists, and others to examine and evaluate the available options to implement the goals of laws and elected officials. The process is also used in the administration of large organizations with complex policies. It has been defined as the process of "determining which of various policies will achieve a given set of goals in light of the relations between the policies and the goals."
The Triarchic Theory of Intelligence or Three Forms of Intelligence, formulated by psychometrician Robert Sternberg, aims to go against the psychometric approach to intelligence and take a more cognitive approach, which leaves it to the category of the cognitive-contextual theories. The three meta components are also called triarchic components.
The following outline is provided as an overview of and topical guide to human–computer interaction:
Ecological psychology is the scientific study of perception-action from a non-functionalism approach. Ecological psychology is a school of psychology that follows much of the writings of Roger Barker and James J. Gibson. Those in the field of Ecological Psychology reject the mainstream explanations of perception laid out by cognitive psychology. The ecological psychology can be broken into a few sub categories: perception, action, and dynamical systems. As a clarification, many in this field would reject the separation of perception and action, stating that perception and action are inseparable. These perceptions are shaped by an individual's ability to engage with their emotional experiences in relation to the environment and reflect on and process these. This capacity for emotional engagement leads to action, collective processing, social capital, and pro environmental behaviour.
Behavioral geography is an approach to human geography that examines human behavior using a disaggregate approach. Behavioral geographers focus on the cognitive processes underlying spatial reasoning, decision making, and behavior. In addition, behavioral geography is an ideology/approach in human geography that makes use of the methods and assumptions of behaviorism to determine the cognitive processes involved in an individual's perception of or response and reaction to their environment.
Spatial ecology studies the ultimate distributional or spatial unit occupied by a species. In a particular habitat shared by several species, each of the species is usually confined to its own microhabitat or spatial niche because two species in the same general territory cannot usually occupy the same ecological niche for any significant length of time.
Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. In artificial intelligence and computational cognitive science, "the action selection problem" is typically associated with intelligent agents and animats—artificial systems that exhibit complex behaviour in an agent environment. The term is also sometimes used in ethology or animal behavior.
Contextual design (CD) is a user-centered design process developed by Hugh Beyer and Karen Holtzblatt. It incorporates ethnographic methods for gathering data relevant to the product via field studies, rationalizing workflows, and designing human–computer interfaces. In practice, this means that researchers aggregate data from customers in the field where people are living and applying these findings into a final product. Contextual design can be seen as an alternative to engineering and feature driven models of creating new systems.
Andrew P. Vayda was a Hungarian-born American anthropologist and ecologist who was a Distinguished Professor Emeritus of Anthropology and Ecology at Rutgers University.
Communicative ecology is a conceptual model used in the field of media and communications research.
Generative design is an iterative design process that involves a program that will generate a certain number of outputs that meet certain constraints, and a designer that will fine tune the feasible region by selecting specific output or changing input values, ranges and distribution. The designer doesn't need to be a human, it can be a test program in a testing environment or an artificial intelligence, for example a generative adversarial network. The designer learns to refine the program with each iteration as their design goals become better defined over time.
Environmental anthropology is a sub-discipline of anthropology that examines the complex relationships between humans and the environments which they inhabit. This takes many shapes and forms, whether it be examining the hunting/gathering patterns of humans tens of thousands of years ago, archaeological investigations of early agriculturalists and their impact on deforestation or soil erosion, or how modern human societies are adapting to climate change and other anthropogenic environmental issues. This sub-field of anthropology developed in the 1960s from cultural ecology as anthropologists borrowed methods and terminology from growing developments in ecology and applied then to understand human cultures.
Ecomusicology is an area of study that explores the relationships between music or sound, and the natural environment. It is a study which encompasses a variety of academic disciplines including Musicology, Biology, Ecology and Anthropology. Ecomusicology combines these disciplines to explore how sound is produced by natural environments and, more broadly how cultural values and concerns about nature are expressed through sonic mediums. Ecomusicology explores the ways that music is composed to replicate natural imagery, as well as how sounds produced within the natural environment are used within musical composition. Ecological studies of sounds produced by animals within their habitat are also considered to be part of the field of Ecomusicology. In the 21st century, studies within the field the Ecomusicology have also become increasingly interested in the sustainability of music production and performance.
Climate resilience is defined as the "capacity of social, economic and ecosystems to cope with a hazardous event or trend or disturbance". This is done by "responding or reorganising in ways that maintain their essential function, identity and structure while also maintaining the capacity for adaptation, learning and transformation". The key focus of increasing climate resilience is to reduce the climate vulnerability that communities, states, and countries currently have with regards to the many effects of climate change. Currently, climate resilience efforts encompass social, economic, technological, and political strategies that are being implemented at all scales of society. From local community action to global treaties, addressing climate resilience is becoming a priority, although it could be argued that a significant amount of the theory has yet to be translated into practice. Despite this, there is a robust and ever-growing movement fueled by local and national bodies alike geared towards building and improving climate resilience.
Transactionalism is a pragmatic philosophical approach; a process of social exchange considered a fundamental condition of human interaction. In this philosophy, human interactions are best understood as a set of simple to complex transactions. A transaction is a reciprocal and co-constitutive cycle of interchanges aimed at satisfying in a specific condition of life like health, work, money, or career, among many others.
Deep reinforcement learning is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem of a computational agent learning to make decisions by trial and error. Deep RL incorporates deep learning into the solution, allowing agents to make decisions from unstructured input data without manual engineering of the state space. Deep RL algorithms are able to take in very large inputs and decide what actions to perform to optimize an objective. Deep reinforcement learning has been used for a diverse set of applications including but not limited to robotics, video games, natural language processing, computer vision, education, transportation, finance and healthcare.
References
- ↑ Vayda, Andrew P. (1983). "Progressive contextualization: Methods for research in human ecology". Human Ecology. 11 (3): 265–281. doi:10.1007/BF00891376.