Enaction-Based Artificial Intelligence: Toward Coevolution with Humans in the Loop

This article deals with the links between the enaction paradigm and artificial intelligence. Enaction is considered a metaphor for artificial intelligence, as a number of the notions which it deals with are deemed incompatible with the phenomenal field of the virtual. After explaining this stance, we shall review previous works regarding this issue in terms of artifical life and robotics. We shall focus on the lack of recognition of co-evolution at the heart of these approaches. We propose to explicitly integrate the evolution of the environment into our approach in order to refine the ontogenesis of the artificial system, and to compare it with the enaction paradigm. The growing complexity of the ontogenetic mechanisms to be activated can therefore be compensated by an interactive guidance system emanating from the environment. This proposition does not however resolve that of the relevance of the meaning created by the machine (sense-making). Such reflections lead us to integrate human interaction into this environment in order to construct relevant meaning in terms of participative artificial intelligence. This raises a number of questions with regards to setting up an enactive interaction. The article concludes by exploring a number of issues, thereby enabling us to associate current approaches with the principles of morphogenesis, guidance, the phenomenology of interactions and the use of minimal enactive interfaces in setting up experiments which will deal with the problem of artificial intelligence in a variety of enaction-based ways

Designing electronic collaborative learning environments

Electronic collaborative learning environments for learning and working are in vogue. Designers design them according to their own constructivist interpretations of what collaborative learning is and what it should achieve. Educators employ them with different educational approaches and in diverse situations to achieve different ends. Students use them, sometimes very enthusiastically, but often in a perfunctory way. Finally, researchers study them and—as is usually the case when apples and oranges are compared—find no conclusive evidence as to whether or not they work, where they do or do not work, when they do or do not work and, most importantly, why, they do or do not work. This contribution presents an affordance framework for such collaborative learning environments; an interaction design procedure for designing, developing, and implementing them; and an educational affordance approach to the use of tasks in those environments. It also presents the results of three projects dealing with these three issues

Critical learning incidents in system dynamics modelling engagements

This paper reports in-depth behavioural operational research to explore how individual clients learned to resolve dynamically complex problems in system dynamics model-based engagements. Consultant-client dyads were interviewed in ten system dynamics consulting engagements to identify individual clients' Critical Learning Incidents—defined as the moment of surprise caused after one's mental model produces unexpected failure and a change in one’s mental model produces the desired result. The cases are reprised from interviews and include assessments of the nature of the engagement problem, the form of system dynamics model, and the methods employed by consultants during each phase of the engagement. Reported Critical Learning Incidents are noted by engagement phase and consulting method, and constructivist learning theory is used to describe a pattern of learning. Outcomes of the research include describing the role of different methods applied in engagement phases (for example, the role of concept models to commence problem identification and to introduce iconography and jargon to the engagement participants), how model form associates with timings of Critical Learning Incidents, and the role of social mediation and negotiation in the learning process

Transdisciplinarity seen through Information, Communication, Computation, (Inter-)Action and Cognition

Similar to oil that acted as a basic raw material and key driving force of industrial society, information acts as a raw material and principal mover of knowledge society in the knowledge production, propagation and application. New developments in information processing and information communication technologies allow increasingly complex and accurate descriptions, representations and models, which are often multi-parameter, multi-perspective, multi-level and multidimensional. This leads to the necessity of collaborative work between different domains with corresponding specialist competences, sciences and research traditions. We present several major transdisciplinary unification projects for information and knowledge, which proceed on the descriptive, logical and the level of generative mechanisms. Parallel process of boundary crossing and transdisciplinary activity is going on in the applied domains. Technological artifacts are becoming increasingly complex and their design is strongly user-centered, which brings in not only the function and various technological qualities but also other aspects including esthetic, user experience, ethics and sustainability with social and environmental dimensions. When integrating knowledge from a variety of fields, with contributions from different groups of stakeholders, numerous challenges are met in establishing common view and common course of action. In this context, information is our environment, and informational ecology determines both epistemology and spaces for action. We present some insights into the current state of the art of transdisciplinary theory and practice of information studies and informatics. We depict different facets of transdisciplinarity as we see it from our different research fields that include information studies, computability, human-computer interaction, multi-operating-systems environments and philosophy.Comment: Chapter in a forthcoming book: Information Studies and the Quest for Transdisciplinarity - Forthcoming book in World Scientific. Mark Burgin and Wolfgang Hofkirchner, Editor

Transformation in a changing climate: a research agenda

The concept of transformation in relation to climate and other global change is increasingly receiving attention. The concept provides important opportunities to help examine how rapid and fundamental change to address contemporary global challenges can be facilitated. This paper contributes to discussions about transformation by providing a social science, arts and humanities perspective to open up discussion and set out a research agenda about what it means to transform and the dimensions, limitations and possibilities for transformation. Key focal areas include: (1) change theories, (2) knowing whether transformation has occurred or is occurring; (3) knowledge production and use; (4), governance; (5) how dimensions of social justice inform transformation; (6) the limits of human nature; (7) the role of the utopian impulse; (8) working with the present to create new futures; and (9) human consciousness. In addition to presenting a set of research questions around these themes the paper highlights that much deeper engagement with complex social processes is required; that there are vast opportunities for social science, humanities and the arts to engage more directly with the climate challenge; that there is a need for a massive upscaling of efforts to understand and shape desired forms of change; and that, in addition to helping answer important questions about how to facilitate change, a key role of the social sciences, humanities and the arts in addressing climate change is to critique current societal patterns and to open up new thinking. Through such critique and by being more explicit about what is meant by transformation, greater opportunities will be provided for opening up a dialogue about change, possible futures and about what it means to re-shape the way in which people live

Coherence, Complexity, And Information Flow: Self-Organizing Processes In Psychotherapy

This chapter is written in the spirit of optimism, suggesting that self-organization is just such a general theory that may assist in providing a deeper, scientifically grounded understanding of the complex biopsychosocial processes involved in psychotherapy. To provide some foundation to this rather grand suggestion, the following review rests on five more specific theoretical propositions stemming from self-organization theory... The analysis of these propositions begins with an integrative review of traditional theories of interpersonal process through the lens of nonlinear dynamical systems (NDS) and self-organization theory in particular. Next, the contemporary empirical and theoretical developments using NDS to understand psychotherapy process are reviewed. Finally, some general conclusions are drawn, and avenues for future research are suggested. The goal here is not to do away with the rich diversity in approaches to therapy. Rather, the aim is to frame such approaches as approaches, rather than as theories, and to the these approaches together through a deeper understanding of self-organizing interpersonal processes in psychotherapy. With these goals in mind, five specific questions pertaining to depth, breadth, and clinical relevance are addressed[.]https://digitalcommons.chapman.edu/psychology_books/1008/thumbnail.jp

Use of measurement theory for operationalization and quantification of psychological constructs in systems dynamics modelling

The analytical tools available to social scientists have traditionally been adapted from tools originally designed for analysis of natural science phenomena. This article discusses the applicability of systems dynamics - a qualitative based modelling approach, as a possible analysis and simulation tool that bridges the gap between social and natural sciences. After a brief overview of the systems dynamics modelling methodology, the advantages as well as limiting factors of systems dynamics to the potential applications in the field of social sciences and human interactions are discussed. The issues arise with regards to operationalization and quantification of latent constructs at the simulation building stage of the systems dynamics methodology and measurement theory is proposed as a ready and waiting solution to the problem of dynamic model calibration, with a view of improving simulation model reliability and validity and encouraging the development of standardised, modular system dynamics models that can be used in social science research

Synthesis maps: Systemic design pedagogy, narrative, and intervention

This paper presents a framework and process for a visual language that is developing as a systemic visual method, and to integrate and outline aspects of this synthetic map formulation as the “synthesis map” both with reference to contributing authors, but also as a comparison to design principles and the method of visual design language. In this way the technique’s purpose as an emergent and creative tool ‐ method can be illustrated, in contrast to the approaches of infographics, and other visual map making associated with design ideation, and design schema representation. Synthesis maps integrate evidence and expertise in a visual narrative for knowledge translation and communicatio

A Systems Theory-Based Framework for Environmental Scanning in Complex System Governance

The purpose of this research was to develop a Systems Theory-based framework for Environmental Scanning (ES) in Complex System Governance (CSG) using an inductive research design. Complexity and uncertainty are normal for external environments in which today’s systems (organizations) exist. These environmental characteristics provide impetus for researchers to focus on organizational planning for disruptive external forces that could threaten system stability and future system existence. The ES function supports the requisite governance metasystemic functions to be enabled, executed, and evolved sufficiently well to promote continuous system viability. In this research the functioning of ES was examined from a diverse literature-based perspective. The literature acknowledges the importance of the ES function, but its consistent development and its impact on system viability in a turbulent environment is not well developed from a Systems Theory-based perspective. This gap in knowledge was addressed in this research. This research examined metasystemic functions performed by ES across a broad literature base encompassing Systems Theory, CSG, Managerial Cybernetics, and ES from several fields of study. This research focused on the lack of explicit use of Systems Theory in ES functionality in metasystemic governance. This research presents a theoretical construct for the expansion of the functionality of ES in CSG that supports enhanced system viability. A rigorous research approach employing a constructivist Grounded Theory Method (GTM) was used to analyze the qualified research literature with a focus on Systems Theory to both consolidate and expand the known functionality of ES in CSG. This research provided a theoretical seventeen-function Systems Theory-based framework for ES in CSG. The overarching theory from this framework is that ES functions support complex system viability through regulation of internal and external variety that is induced by external changes. The literature-based identification of the ES functions demonstrates that ES operates in newly identified mechanisms, beyond the original identification provided by Keating & Katina (2016). A case study was undertaken to demonstrate face validation of the applicability of the emerging Systems Theory-based functions of ES in CSG in an applied setting where possible utility was developed. Topics for future research in ES functionality were identified