http://popups.lib.uliege.be/1373-5411/index.php?id=657 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=4665 Science attempts to understand life systems. While physical systems are signified by status, life systems are evidenced by function and organ. As anticipatory systems their behaviour relies on embodied memories of their past and probable future. Complexity and semiosis act as drivers of evolution; anticipation as constituting principle of life systems. Complexity implies unfolding and re-enfolding guiding differentiation and growth. Semiosis generates intent and meaning ensuring viable simplicity. Interacting, they open potentiality and fields of probability for development. The dynamic entailment of complexity and meaning structures all life systems up to mental constructs. - An overarching concept embraces the pattems of life. It sheds light on the fundamental changes concerning life conditions in society and ecology. Mon, 14 Oct 2024 16:02:47 +0200 Thu, 17 Oct 2024 11:58:46 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=4665 http://popups.lib.uliege.be/1373-5411/index.php?id=3534 What will Happen in Case, and Why ? How will future development turn out? In pursue of well founded rational answers by anticipating, science explores the behavior and emergence of complex systems. To understand them pragmatically, object- and issue related, transdisciplinary co-operation is challenged. To this end recently the need for transdisciplinary models and semantics is stressed. Transdisciplinarity inquires into the shared base of disciplines. Systemics and Evolution approach in particular qualify as (also ontological) bases. Tue, 24 Sep 2024 10:36:42 +0200 Thu, 10 Oct 2024 10:47:19 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3534 http://popups.lib.uliege.be/1373-5411/index.php?id=1082 Systems thinking fights onesided, biased, thinking because the latter causes complex and complicated consequences by (over)simplification of the observer's and/or decision maker's view at reality. Holism, which L. v. Bertalanffy decades ago has aimed at making a very broad new world view, has been found uncommon sense again and again, but also a necessity for mankind to survive. Specialists are unavoidable, but we/they tend to limit our/their view to a single selected viewpoint, which causes a fictitious holism rather than a Bertalanffian one. Interdisciplinary co-operation helps, but it requires consideration of interdependence of mutually different viewpoints. A methodology supportive of this consideration, is Mulej's Dialectical Systems Theory, and its applied methodology USOMID. They ease attainment of a requisite holism, which lies inbetween the dangerous fictitious holism and the unattainable total holism. Over 25 years of both theoretical and applied results speak for Dialectical Systems Theory as a useful tool for dealing with complex situation, events, and processes. Anticipation, be it computed or not, depends in terms of its quality on the holism if thinking and feeling of the persons working on it. Hence, it should not be provided with tools only, but also with capacity of holistic subjective starting points of those involved. Fri, 05 Jul 2024 11:30:50 +0200 Tue, 08 Oct 2024 14:41:57 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1082 http://popups.lib.uliege.be/1373-5411/index.php?id=2639 Systems Biology aims to take up the challenge of the post-genome era by developing means to handle the data flood in the contemporary 'omic' sciences. One of the challenges is to 'turn data into knowledge', which gives rise to the question of the functional meaning of the structural data. Systems Biology tries to answer this question by capturing the organisation of a biological system through mathematical and computational modelling. In this regard, however, there is some ambiguity concerning the notions of function, wholeness and system. In this paper, we intend to discuss this ambiguity by analysing the status of modelling in Systems Biology. We do so by articulating the source of the tensions between a relational and a mechanistic approach of living systems, and will inquire upon the potential relevance of a relational account for current Systems Biology. We draw upon Robert Rosen's relational account, in which functionality is an intrinsic and essential part of the organisation of a living system. An organism is complex, e.g. not amenable to a mechanistic, classical or engineering analysis. In this viewpoint, which is quite similar to Kant's, functionality has to be presupposed in order to 'save' the organism as a living system, It is the status of this presupposition that qualitatively distinguishes a mechanistic from a relational account, and it is the potentiality of that idea which deserves further investigation in current Systems Biology. Thu, 29 Aug 2024 15:33:42 +0200 Tue, 08 Oct 2024 13:05:18 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2639 http://popups.lib.uliege.be/1373-5411/index.php?id=3959 We address the excess entropy, which is a measure of complexity for stationary time series, from the ordinal point of view. We show that the permutation excess entropy is equal to the mutual information between two adjacent semi-infinite blocks in the space of orderings for finite-state stationary ergodic Markov processes. This result may spread a new light on the relationship between complexity and anticipation. Tue, 01 Oct 2024 16:48:42 +0200 Tue, 01 Oct 2024 16:50:15 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3959 http://popups.lib.uliege.be/1373-5411/index.php?id=2299 Recent discovery of ADDL protein (Amyloid β-Derived Diffusible Ligand) allows the trigger mechanism causing Alzheimer's Disease (AD) to be described by principles of complex systems theory. This entails a teleological cosmology with inherent self-organized / anticipatory parameters introducing a life principle (élan vital) providing the action driving self-organization in autopoietic living systems. Interaction between this Noetic Field (élan vital) and brain is defined in terms of a Hamiltonian-Lagrange operator called the Noetic Effect. If mind/body interactions mediating this Noetic Effect drive the system away from equilibrium catastrophes causing protein misfolds may trigger the onset of AD. The discovery of ADDL also promises an AD vaccine. Wed, 31 Jul 2024 12:58:38 +0200 Wed, 31 Jul 2024 12:58:46 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2299 http://popups.lib.uliege.be/1373-5411/index.php?id=2253 It has been recognized that there are two kinds of cognitive maps, route map and survey map. Researchers recently have focused on the integration of both maps. The attempt to integrate them, however, entails a problem ; which type is prior to the other. This reveals an infinite regression. We propose that the paradoxical modality resulting from the integration can be expressed as a heterarchy, a dynamical hierarchical system. In the name of heterarchy, we stress negotiation among levels. If there is a discrepancy between levels, the expression of a level and interaction are destined to contain intrinsic indefiniteness. It reveals the negotiation. Route maps and survey maps are not integrated but negotiated, and those form a heterarchy. We conducted a particular experiment in which negotiations between route maps and survey maps were enhanced. Tue, 30 Jul 2024 15:41:31 +0200 Tue, 30 Jul 2024 15:41:39 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2253 http://popups.lib.uliege.be/1373-5411/index.php?id=1165 The notion of computational complexity is looked at as if it were a road along which we encounter several cognitive and operational obstacles. Some of these are difficult to anticipate, to prevent or solve. The study focuses on cases where the need to anticipate and solve is unavoidable. Three categories of such obstacles are discussed. The first refers to the precise meaning of 'cognitive complexity' and what kind of problems does it rise. Here the discussion is centred on extending tractability of problems by means of identifying and solving circularities whenever they occur. The second enlarges on the accurate translation or transfer of the cognitive complexity into the computational one. The third obstacle is encountered when tractability, and circularity in particular, become so unavoidable that they need be anticipated which, in turn, is a prerequisite of designing the research programmes of particularly complex problems. The problems considered to be extremely complex are those generated by 'scientifically-based human intervention'. Because of this, and the above technicalities, these problems are anything but disciplinary. A more precise idea of what means 'interdisciplinary' as a counterpart of 'undisciplinary' is given. The study aims at correcting a status quo which complexity-related tractability and circularity are either neglected or mistakenly regarded as a technicality such as the quantitative limit of computation. The far-reaching aim is to reconsider the legitimacy and the terms in which we think of a 'science of complexity', and the extent to which cybernetics - third-order cybernetics, eventually - becomes the very core of this science. Fri, 05 Jul 2024 15:17:00 +0200 Fri, 05 Jul 2024 15:17:10 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1165 http://popups.lib.uliege.be/1373-5411/index.php?id=1140 In this paper, we present an introduction to the theory of computability and complexity over a ring proposed by L. Blum, M. Shub and S. Smale in [Blum-Shub-Smale-1989]. Fri, 05 Jul 2024 14:28:17 +0200 Fri, 05 Jul 2024 14:28:28 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=1140 http://popups.lib.uliege.be/1373-5411/index.php?id=942 The overall information processing capacity of an organism is proposed as a conceptual criterion for its complexity. The apparent tendency of complexity increase during the course of evolution is accounted for in terms of positive feedback mechanisms. Furthermore, the different modes of evolution of biological complexity are identified as: The ongoing appearance of more complex species in case of abundance of resources, pausing of the complexity increase when the limits of the resources are reached in a relatively isolated environment, and the extinction of some of the complex species due to lack of sufficient resources. All arguments concerning the definition of complexity and its non-decreasing character are based on concepts like information processing, maintenance of organisation and the related energy expenditures. As a result of these arguments it is concluded that complex adaptations have a teleonomic nature. Mon, 01 Jul 2024 14:56:01 +0200 Mon, 01 Jul 2024 14:56:13 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=942