8,587 research outputs found
Informational Mode of the Brain Operation and Consciousness as an Informational Related System
Introduction: the objective of the investigation is to analyse the informational operating-mode of the brain and to extract conclusions on the
structure of the informational system of the human body and consciousness.
Analysis: the mechanisms and processes of the transmission of information in the body both by electrical and non-electrical ways are analysed
in order to unify the informational concepts and to identify the specific essential requirements supporting the life. It is shown that the electrical
transmission can be described by typical YES/NO (all or nothing) binary units as defined by the information science, while the inter and intra
cell communication, including within the synaptic junction, by mechanisms of embodiment/disembodiment of information. The virtual received
or operated information can be integrated in the cells as matter-related information, with a maximum level of integration as genetically codified
info. Therefore, in terms of information, the human appears as a reactive system changing information with the environment and between inner
informational subsystems which are: the centre of acquisition and storing of information (acquired data), the centre of decision and command
(decision), the info-emotional system (emotions), the maintenance informational system (matter absorption/desorption/distribution), the genetic
transmission system (reproduction) and info-genetic generator (genetically assisted body evolution). The dedicated areas and components of the
brain are correlated with such systems and their functions are specified.
Result: the corresponding cognitive centres projected into consciousness are defined and described according to their specific functions. The
cognitive centres, suggestively named to appropriately include their main characteristics are detected at the conscious level respectively as: memory,
decisional operation (attitude), emotional state, power/energy status and health, associativity and offspring formation, inherited predispositions,
skills and mentality. The near-death and religious experiences can be explained by an Info-Connection pole.
Conclusion: consciousness could be fully described and understood in informational terms
A Review of Verbal and Non-Verbal Human-Robot Interactive Communication
In this paper, an overview of human-robot interactive communication is
presented, covering verbal as well as non-verbal aspects of human-robot
interaction. Following a historical introduction, and motivation towards fluid
human-robot communication, ten desiderata are proposed, which provide an
organizational axis both of recent as well as of future research on human-robot
communication. Then, the ten desiderata are examined in detail, culminating to
a unifying discussion, and a forward-looking conclusion
Delivering building simulation information via new communication media
Often, the goal of understanding how the building works and the impact of design decisions is hampered by limitations in the presentation of performance data. Contemporary results display is often constrained to what was considered good practice some decades ago rather than in ways that preserve the richness of the underlying data. This paper reviews a framework for building simulation support that addresses these presentation limitations as well as making a start on issues related to distributed team working. The framework uses tools and communication protocols that enable concurrent information sharing and provide a richer set of options for understanding complex performance relationships
Delivering building simulation information via new communication media
Often, the goal of understanding how the building works and the impact of design decisions is hampered by limitations in the presentation of performance data. Contemporary results display is often constrained to what was considered good practice some decades ago rather than in ways that preserve the richness of the underlying data. This paper reviews a framework for building simulation support that addresses these presentation limitations as well as making a start on issues related to distributed team working. The framework uses tools and communication protocols that enable concurrent information sharing and provide a richer set of options for understanding complex performance relationships
Artificiality in Social Sciences
This text provides with an introduction to the modern approach of artificiality and simulation in social sciences. It presents the relationship between complexity and artificiality, before introducing the field of artificial societies which greatly benefited from the computer power fast increase, gifting social sciences with formalization and experimentation tools previously owned by "hard" sciences alone. It shows that as "a new way of doing social sciences", artificial societies should undoubtedly contribute to a renewed approach in the study of sociality and should play a significant part in the elaboration of original theories of social phenomena.artificial societies; multi-agent systems; distributed artificial intelligence; complexity
Virtual Reality Games for Motor Rehabilitation
This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion
Identification of Associations between Cognitive Agents Using Learning Based System
The research is to pronounce the socialization with humans after identification of relationships between cognitive agents recognized with the perspective of focus, selective attention, intention and decision making. Machine learning is used to understand environment complexity, dynamic collaboration, noise, features, domain and range on different parameters. Range of view is an interesting approach for relationship identification with respect to time, distance and face direction in a settled boundary that are trying to answer socialized behavior between those multiple agents. In resultant, the system agent finds friend, best friend and stranger relationships between other agents by using top down approach. The application can play a wonderful role for security purposes, gaming, labs, and intelligence agencies etc
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