Basidiomycetes-X (BDM-X) is a novel edible mushroom recently identified as a new fungi species and registered to the database of the NPO organization for International Patent Organism Depositing (IPOD) in the Industrial Technology Institute of Japan (PCT/JP2004/006418). In the present study, we examined anti-oxidant activity of hot water extract of this novel fungus both in vitro and in vivo to...

Statistical models are widely used to explore relationships between aggregate variables in a land-use system by inductively fitting empirical data, for example with regression models. Seldom do researchers know whether, and if so how much, the relationships thus obtained reflect the underlying mechanisms. This is partially due to the uncertainties in the system of interest, especially when the ...

Statistical models are widely used to explore relationships between aggregate variables in a land-use system by inductively fitting empirical data, for example with regression models. Seldom do researchers know whether, and if so how much, the relationships thus obtained reflect the underlying mechanisms, because of uncertainties existing in the system of interests, especially when the system i...

The agent-based modeling (ABM) paradigm provides a mechanism for understanding the effects of interactions of individuals and through such interactions emergent structures develop, both in the social and physical environment of cities. This chapter explores how through the use of ABM, and its linkage with complexity theory, allows one to create agent-based models for the studying cities from th...

Computational modelling techniques, originating from fields like Computer Science and Artificial Intelligence, may be beneficial for criminological research. Because of their formal nature, computational models can be processed by machines that operate on them, for example for the purpose of simulation. As a consequence, these techniques may help gain insights that lacked based of purely inform...

We describe an affective behavior model (ABM) for intelligent tutoring systems. The model is a Dynamic Decision Network that selects tutorial actions based on both the current affective and pedagogical state of a student, as well as on the assessment of the expected effect of each available action on the student. We integrated the ABM with an educational game to learn number factorization, and ...

In the Agent-Based Modeling (ABM) paradigm, an organization is a Multi-Agent System (MAS) composed of autonomous agents inducing business processes. Process Mining automates creation, update, and analysis explicit process models based on event data. techniques make simplifying assumptions about processes discovered from However, actual are often more complex than those restricted by assumptions...

In a nutshell, agent-based models (ABM) are models, i.e. abstract representation of the reality, in which (i) a multitude of objects interact with each other and with the environment, (ii) the objects are autonomous, i.e. there is no central, or " top down " control over their behavior 1 , and (iii) the outcome of their interaction is numerically computed. Since the objects are autonomous, they...

This work addresses the problem of encoding cognitive agents that are capable of complex reasoning beyond simple rules, within agent-based models (ABM). This is particularly important for social simulation where agents represent people. We provide a general solution to this problem through infrastructure that allows the integration of stateof-the-art Belief-Desire-Intention (BDI) and ABM system...