Towards a Conceptualization of Sociomaterial Entanglement

In knowledge representation, socio-technical systems can be modeled as multiagent systems in which the local knowledge of each individual agent can be seen as a context. In this paper we propose formal ontologies as a means to describe the assumptions driving the construction of contexts as local theories and to enable interoperability among them. In particular, we present two alternative conceptualizations of the notion of sociomateriality (and entanglement), which is central in the recent debates on socio-technical systems in the social sciences, namely critical and agential realism. We thus start by providing a model of entanglement according to the critical realist view, representing it as a property of objects that are essentially dependent on different modules of an already given ontology. We refine then our treatment by proposing a taxonomy of sociomaterial entanglements that distinguishes between ontological and epistemological entanglement. In the final section, we discuss the second perspective, which is more challenging form the point of view of knowledge representation, and we show that the very distinction of information into modules can be at least in principle built out of the assumption of an entangled reality

Semiotic dynamics for embodied agents

Artificial intelligence explores the many different aspects of intelligence like a meandering stream carving out rivers, lakes, and deltas in an endless magnificent landscape. Each time new vistas on intelligence open up, we build new technologies to explore them and find new types of applications. In this article, the author briefly illustrate the current study of semiotic dynamics, the resulting technologies, and the field's impact on current and future intelligent systems applications.The ECAgents project—funded by the Future and Emerging Technologies program (IST-FET) of the European Commission under EU RD contract IST-1940—partly supported this research, conducted at the Sony Computer Science Laboratory Paris.Peer Reviewe

MULTI AGENT-BASED ENVIRONMENTAL LANDSCAPE (MABEL) - AN ARTIFICIAL INTELLIGENCE SIMULATION MODEL: SOME EARLY ASSESSMENTS

The Multi Agent-Based Environmental Landscape model (MABEL) introduces a Distributed Artificial Intelligence (DAI) systemic methodology, to simulate land use and transformation changes over time and space. Computational agents represent abstract relations among geographic, environmental, human and socio-economic variables, with respect to land transformation pattern changes. A multi-agent environment is developed providing task-nonspecific problem-solving abilities, flexibility on achieving goals and representing existing relations observed in real-world scenarios, and goal-based efficiency. Intelligent MABEL agents acquire spatial expressions and perform specific tasks demonstrating autonomy, environmental interactions, communication and cooperation, reactivity and proactivity, reasoning and learning capabilities. Their decisions maximize both task-specific marginal utility for their actions and joint, weighted marginal utility for their time-stepping. Agent behavior is achieved by personalizing a dynamic utility-based knowledge base through sequential GIS filtering, probability-distributed weighting, joint probability Bayesian correlational weighting, and goal-based distributional properties, applied to socio-economic and behavioral criteria. First-order logics, heuristics and appropriation of time-step sequences employed, provide a simulation-able environment, capable of re-generating space-time evolution of the agents.Environmental Economics and Policy,

Ideological systems and its validation: a neutrosophic approach

Ideologies face two critical problems in the reality, the problem of commitment and the problem of validation. Commitment and validation are two separate phenomena, in spite of the near universal myth that the human is committed because his beliefs are valid. Ideologies not only seem external and valid but also worth whatever discomforts believing entails. In this paper the authors develop a theory of social commitment and social validation using concepts of validation of neutrosophic logic

USE: a concept-based recommendation system to support creative search

Semiotics is a field on which research in Computer Science methodologies has focused, mainly concerning Syntax and Semantics. These methodologies, however, are lacking some flexibility for the continuously evolving web community, in which the knowledge is classified with tags rather than with ontologies. In this paper we propose a system for the recommendation of tagged pictures obtained from the Web. The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive creative user state.Peer ReviewedPostprint (published version

Neutrosophic and Modal Components of Relations in Complex Systems

Semiotic components in the relations of complex systems depend on the Subject. There are two main semiotic components: Neutrosophic and Modal. Modal components are alethical and deontical. In this paper the authors applied the theory of Neutrosophy and Modal Logic to Deontical Impure Systems

Software Language Engineering: Interaction and Usability Modeling of Language Editors

Background: Domain-Specific Languages (DSLs) are programming languages created to a specific domain that a user has pre-conceived. Multi-Agent Systems (MAS) represent a set of systems interacting within an environment, in which many intelligent agents interact with each other. Usability is a property of something that is "capable of being used"and "convenient and practicable for use". Barišic et al. introduced a conceptual framework that supports the iterative development process of DSLs concerning the usability evaluation. Semantic Web Enabled Agent Modeling Language (SEA_ML) is a DSL that supports the modeling and generation of action-based systems for MAS and the Semantic Web. It is defined by 44 visual notations. Objective: Improve SEA_ML’s usability using "The "Physics"of Notations" principles to create a new visual notation for SEA_ML. Method: (1) Participants test the current notation and the new notation on four exercises. For each exercise, a SUS questionnaire is presented. Participants should have better results on the exercises with the new notation. (2) Participants select the notations for SEA_ML. Participants receive a list with figures including the current and the new notation, alongside a set of descriptions for each of the semantic constructs of SEA_ML. Participants should select more icons from the new notation. Results: With the results gathered from each experience it is not clear that the new visual notations are better than the current notations. Limitation: The results from the guidelines were not evaluated broadly. Conclusion: The results for each experiment are not clear that the new notation is better than the current notation. This thesis is part of a scientific and technological co-operation between NOVA LINCS research center at Universidade Nova de Lisboa, Portugal, and Ege University International Computer Institute, Turkey. regarding the project Developing a Framework on Evaluating Domain specific Modeling Languages for Multi-Agent Systems

Proceedings of The Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW 2010)

http://ceur-ws.org/Vol-627/allproceedings.pdfInternational audienceMALLOW-2010 is a third edition of a series initiated in 2007 in Durham, and pursued in 2009 in Turin. The objective, as initially stated, is to "provide a venue where: the cost of participation was minimum; participants were able to attend various workshops, so fostering collaboration and cross-fertilization; there was a friendly atmosphere and plenty of time for networking, by maximizing the time participants spent together"