Titlebook: Qualitative and Quantitative Practical Reasoning; First International Dov M. Gabbay,Rudolf Kruse,Hans Jürgen Ohlbach Conference proceeding

擴(kuò)張

Conference proceedings 1997logics, default reasoning, modal logics, belief function theory, Bayesian networks, fuzzy logic, possibility theory, inference algorithms, dynamic reasoning with partial models, and user modeling approaches.

指派

0302-9743 monotonic logics, default reasoning, modal logics, belief function theory, Bayesian networks, fuzzy logic, possibility theory, inference algorithms, dynamic reasoning with partial models, and user modeling approaches.978-3-540-63095-1978-3-540-69129-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

使迷醉

Somber

不透明

Syntactic combination of uncertain information: A possibilistic approach,he framework of possibilistic logic. These rules are the counterparts of combination rules which can be applied to the possibility distributions (defined on the set of possible worlds), which represent the semantics of each propositional knowledge base. Combination modes taking into account the leve

鎮(zhèn)痛劑

A coherence-based approach to default reasoning,to be either cautious (where some intuitive conclusions do not follow from the default base), or adventurous (some debatable conclusions are inferred). However, the cautiousness and the adventurous aspect of these systems are often due to the incomplete way of describing our knowledge, and that plau

激勵(lì)

A syntactical approach to data fusion,h are summarized and discussed. The method has been applied to a real-world problem of noisy sensor data fusion: the position estimation of an autonomous mobile robot navigating in an approximately and partially known office environment. Several test runs have evidenced the adequacy of the approach

Granular

pester

Information fusion in logic: A brief overview,ive tasks such as decision-making, planning, design, and specification, that can involve collecting information from a number of potentially conflicting perspectives or sources, or participants. In this brief overview, we focus on the problem of inconsistencies arising in information fusion. In the

MOAT

Focusing vs. belief revision: A fundamental distinction when dealing with generic knowledge,ical, representation framework which is rich enough for acknowledging the difference between factual evidence and generic knowledge. Revision amounts to modifying the generic knowledge when receiving new pieces of generic knowledge (or the factual evidence when obtaining more factual information), w