Mamede Lima-Marques

This paper formalizes an approach to the Internet of Things as a socio-technical system of systems and a part of the infosphere. It introduces a principle-based, human-centered approach to designing Internet of Things artifacts as elements of contextual cross-channel ecosystems. It connects the Internet of Things to the conceptualization of cross-channel ecosystems from current information architecture theory and practice, positing that the Internet of Things is both a formal, objective superset of any given ecosystem and a contextual, subjective subset of specifically instantiated ecosystems. The paper argues for the necessity of a transdisciplinary theoretical framework to promote a human-centered generative understanding of the Internet of Things phenomena and their consequences, in accordance with the Metamodel Methodology. It proposes a phenomenology-grounded information architecture model detailing a set of 16 principles and secondary heuristics grouped according to an architectural perspective, which identifies guidelines that support the design of Internet of Things artifacts considering their objective characteristics; a human perspective, which identifies guidelines that support the design of Internet of Things artifacts considering subject/object relationships and the production of meaning; and a systemic perspective, which identifies guidelines that support the design of Internet of Things artifacts as relational parts of information-based ecosystems. These principles and guidelines are meant to provide the foundations for a practice-based approach to designing the Internet of Things–enabled information ecosystems.

This paper formalizes an approach to the Internet of Things as a socio-technical system of systems and a part of the infosphere. It introduces a principle-based, human-centered approach to designing Internet of Things artifacts as elements of contextual cross-channel ecosystems. It connects the Internet of Things to the conceptualization of cross-channel ecosystems from current information architecture theory and practice, positing that the Internet of Things is both a formal, objective superset of any given ecosystem and a contextual, subjective subset of specifically instantiated ecosystems. The paper argues for the necessity of a transdisciplinary theoretical framework to promote a human-centered generative understanding of the Internet of Things phenomena and their consequences, in accordance with the Metamodel Methodology. It proposes a phenomenology-grounded information architecture model detailing a set of 16 principles and secondary heuristics grouped according to an architectural perspective, which identifies guidelines that support the design of Internet of Things artifacts considering their objective characteristics; a human perspective, which identifies guidelines that support the design of Internet of Things artifacts considering subject/object relationships and the production of meaning; and a systemic perspective, which identifies guidelines that support the design of Internet of Things artifacts as relational parts of information-based ecosystems. These principles and guidelines are meant to provide the foundations for a practice-based approach to designing the Internet of Things–enabled information ecosystems.

This paper formalizes an approach to the Internet of Things as a socio-technical system of systems and a part of the infosphere. It introduces a principle-based, human-centered approach to designing Internet of Things artifacts as elements of contextual cross-channel ecosystems. It connects the Internet of Things to the conceptualization of cross-channel ecosystems from current information architecture theory and practice, positing that the Internet of Things is both a formal, objective superset of any given ecosystem and a contextual, subjective subset of specifically instantiated ecosystems. The paper argues for the necessity of a transdisciplinary theoretical framework to promote a human-centered generative understanding of the Internet of Things phenomena and their consequences, in accordance with the Metamodel Methodology. It proposes a phenomenology-grounded information architecture model detailing a set of 16 principles and secondary heuristics grouped according to an architectural perspective, which identifies guidelines that support the design of Internet of Things artifacts considering their objective characteristics; a human perspective, which identifies guidelines that support the design of Internet of Things artifacts considering subject/object relationships and the production of meaning; and a systemic perspective, which identifies guidelines that support the design of Internet of Things artifacts as relational parts of information-based ecosystems. These principles and guidelines are meant to provide the foundations for a practice-based approach to designing the Internet of Things–enabled information ecosystems.

The so-called phenomenon of collective intelligence is now a burgeoning movement, with several guises and examples in many areas. We briefly survey some relevant aspects of collective intelligence in several formats, such as social software, crowdfunding and convergence, and show that a formal version of this paradigm can also be posed to logic systems, by employing the notion of logic societies. The paradigm of logical societies has lead to a new notion of distributed semantics, the society semantics, with theoretical advances in defining new forms of n-valued semantics in terms of k-valued semantics, for, and applications to flying security protocols. We summarise the main advances of society semantics, commenting on their general case, the possible-translations semantics and pointing to some conceptual points and some problems and directions still to be explored.