Gordana Dodig Crnkovic

This paper presents a view of nature as a network of infocomputational agents organized in a dynamical hierarchy of levels. It provides a framework for unification of currently disparate understandings of natural, formal, technical, behavioral and social phenomena based on information as a structure, differences in one system that cause the differences in another system, and computation as its dynamics, i.e. physical process of morphological change in the informational structure. We address some of the frequent misunderstandings regarding the natural/morphological computational models and their relationships to physical systems, especially cognitive systems such as living beings. Natural morphological infocomputation as a conceptual framework necessitates generalization of models of computation beyond the traditional Turing machine model presenting symbol manipulation, and requires agent-based concurrent resource-sensitive models of computation in order to be able to cover the whole range of phenomena from physics to cognition. The central role of agency, particularly material vs. cognitive agency is highlighted.

Today’s computer network technologies are sociologically founded on hunter-gatherer principles; common users may be possible subjects of surveillance and sophisticated internet-based attacks are almost impossible to prevent. At the same time, information and communication technology, ICT offers the technical possibility of embedded privacy protection. Making technology legitimate by design is a part of the intentional design for democracy. This means incorporating options for socially acceptable behaviour in technical systems, and making the basic principles of privacy protection, rights and responsibilities, transparent to the user. The current global e-polis already has, by means of different technologies, de facto built-in policies that define the level of user-privacy protection. That which remains is to make their ethical implications explicit and understandable to citizens of the global village through interdisciplinary disclosive ethical methods, and to make them correspond to the high ethical norms that support trust, the essential precondition of any socialization. The good news is that research along these lines is already in progress. Hopefully, this will result in a future standard approach to the privacy of network communications.

Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data → information → knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agent’s ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a process that may be modeled as natural computation in order to be better understood and improved.