
By Maja Hadzic, Elizabeth J. Chang, Pornpit Wongthongtham
The Semantic net has given loads of impetus to the advance of ontologies and multi-agent platforms. a number of books have seemed which debate the advance of ontologies or of multi-agent structures individually all alone. The turning out to be interplay among agnets and ontologies has highlighted the necessity for built-in improvement of those. This ebook is exclusive in being the 1st to supply an built-in therapy of the modeling, layout and implementation of such mixed ontology/multi-agent platforms. It presents transparent exposition of this built-in modeling and layout method. It additional illustrates this with exact case reports in (a) the biomedical region and (b) the software program engineering zone. The publication is, for this reason, of curiosity to researchers, graduate scholars and practitioners within the semantic internet and internet technological know-how area.
Read Online or Download Ontology-Based Multi-Agent Systems PDF
Best intelligence & semantics books
The Artificial Life Route To Artificial Intelligence: Building Embodied, Situated Agents
This quantity is the direct results of a convention during which a few top researchers from the fields of synthetic intelligence and biology collected to envision even if there has been any floor to imagine new AI paradigm used to be forming itself and what the fundamental parts of this new paradigm have been.
An Introduction to Computational Learning Theory
Emphasizing problems with computational potency, Michael Kearns and Umesh Vazirani introduce a couple of significant themes in computational studying thought for researchers and scholars in man made intelligence, neural networks, theoretical computing device technological know-how, and information. Computational studying conception is a brand new and swiftly increasing region of analysis that examines formal versions of induction with the objectives of studying the typical equipment underlying effective studying algorithms and settling on the computational impediments to studying.
Ontology-Based Multi-Agent Systems
The Semantic internet has given loads of impetus to the improvement of ontologies and multi-agent platforms. numerous books have seemed which debate the improvement of ontologies or of multi-agent structures individually all alone. The starting to be interplay among agnets and ontologies has highlighted the necessity for built-in improvement of those.
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
The tough and fuzzy set ways provided the following open up many new frontiers for persisted learn and improvement. Computational Intelligence and have choice offers readers with the history and primary rules in the back of characteristic choice (FS), with an emphasis on suggestions according to tough and fuzzy units.
- Towards the Learning Grid: Advances in Human Learning Services
- Knowledge-based Software Engineering
- Geometric and Artistic Graphics: Design Generation with Microcomputers
- Artificial Intelligence Applications and Innovations: 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI), 2006, June 7-9, ... in Information and Communication Technology)
Extra resources for Ontology-Based Multi-Agent Systems
Example text
We will give some examples to illustrate this. 5). e. they refer to the same concept. 3). For this reason, it is crucial that ontologies be designed by a number of domain experts together with ontology engineers. Ontology commitments need to be carefully considered and evaluated against the project objectives. 6 Generalization/Specialization of Ontologies 41 Fig. 5 Ontology Community Ontologies represent how a specific community understands part of the world. It is important for all members of the community to reach an agreement on (1) their understanding and definition of domain knowledge; and (2) representation of this knowledge through an ontology.
Two main reasons for this are: (1) hierarchies are similar to the way we organize the mental models of the world in our minds; and (2) hierarchies allow for the generalization/specialization mechanism in information processing. 10, we represent the top-level of the ‘Nutrients’ ontology that describes the basic classification of nutrients as carbohydrates, proteins and fats. At the top of the hierarchy, we have the concept “nutrients”. On the next level down, we have three concepts: “carbohydrates”, ”proteins” and ”fats”.
G. database, object-oriented system or knowledge base, a core of primitives that capture most of communicative acts needs to be specified. This set of communicative acts primitives needs to be extensible to enable the language to be used by a variety of systems. As in any other language, the semantics of a communication language should be grounded in theory, be unambiguous and exhibit canonical form (meaning similarity should lead to representation similarity). As the communication 26 2 Introduction to Multi-Agent Systems language enables interaction between spatially dispersed applications, and this interaction extends over time, location and time need to be addressed by the semantics of a communication language.