By Karin Breitman, Marco Antonio Casanova, Walt Truszkowski
The sector of agent & multi-agent structures is experiencing super development when that of formal equipment has additionally blossomed. The FAABS (Formal methods to Agent-Based platforms) workshops, merging the troubles of the 2 fields, have been hence well timed. This ebook has arisen from the overpowering reaction to FAABS ’00, ’02 & ’04 and all chapters are up-to-date or characterize new examine, & are designed to supply a closer therapy of the subject. Examples of the way others have utilized formal the right way to agent-based structures are incorporated, plus formal process instruments & innovations that readers can practice to their very own systems.
Agent know-how from a proper point of view offers an in-depth view of the most important concerns concerning agent know-how from a proper point of view. As this can be a fairly new interdisciplinary box, there's huge, immense room for extra development and this booklet not just creates an preliminary starting place, yet issues to the gaps; indicating open difficulties to be addressed via destiny researchers, scholars & practitioners.
Read or Download Agent Technology from a Formal Perspective (NASA Monographs in Systems and Software Engineering) PDF
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Extra info for Agent Technology from a Formal Perspective (NASA Monographs in Systems and Software Engineering)
The recent markup languages descend from the Standard Generalized Markup Language (SGML), a metalanguage to define markup languages for documents. An ISO standard (ISO 8879), SGML was originally designed to enable the sharing of machine-readable documents, but it has also been used extensively in the printing and publishing industries. The complexity of SGML prevented a more widespread adoption, but it inspired the design of HTML and XML, the best-known markup languages. 30 2. Ontology in Computer Science Fig.
In this case, the definitions (10) and (11) already guarantee that AnonymousBook and nonAnonymousBook are subsumed by Book. That is, no inclusion similar to (14) is required. More precisely, we can prove that: (32) (33) nonAnonymousBook Ն ¬AnonymousBook Book ≡ AnonymousBook ̮ nonAnonymousBook The inclusion (32) follows directly from (11). To prove (33), we establish the following sequence of equivalent complex concepts. 42 3. Knowledge Representation in Description Logic (34) AnonymousBook ̮ nonAnonymousBook ≡ AnonymousBook ̮ (Book ̭ ¬AnonymousBook) from (11) ≡ (AnonymousBook ̮ Book) ̭ (AnonymousBook ̮ ¬AnonymousBook) (distribution of ̮ over ̭) (simplification) ≡ AnonymousBook ̮ Book ≡ Book from (10) Finally and omitting the details, we can also prove that: (35) (36) nonEuroBook Ն ¬EuroBook Book ≡ EuroBook ̮ nonEuroBook from (13) from (12), (13) We now turn to examples of concept instantiation.
Software agents can then use such tags to improve the search for Web pages. The Ontology Inference Layer (Oil) is the result of the On-To-Knowledge Project, sponsored by the European Community, which involved several European universities. Oil has a formal semantics based on description logic. In fact, efficient inference mechanisms have been implemented that permit verifying the consistency of an ontology specification written in Oil. At about the same time Oil was developed, the Defense Advanced Research Projects Agency (DARPA) sponsored the DARPA Agent Markup Language (DAML) Program.