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Reliable Relaying with Uncertain Knowledge
"... The motivation for this paper is to analyze the effect of information uncertainty on the design and performance of protocols. The paper considers two types of situations. The first is when different nodes in the network have bounded knowledge about what other nodes know. The second, called common k ..."
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explores is the relaying of packets in a simple butterfly network. Despite its apparent simplicity, this problem enables to illustrate key features of situations of uncertain knowledge that arise in networks. The paper presents two impossibility facts and one possibility fact, in the latter of which a
Uncertain Knowledge and Reflective Epistemology
"... Our knowledge forms a highly interconnected and dynamically changing body of propositions. One obviously important way that knowledge changes is via rational inference, based either upon new insight into the content of what we already know or upon new knowledge provided by the senses. The most obvio ..."
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Our knowledge forms a highly interconnected and dynamically changing body of propositions. One obviously important way that knowledge changes is via rational inference, based either upon new insight into the content of what we already know or upon new knowledge provided by the senses. The most
Towards Combining Ontologies and Uncertain Knowledge
"... In this paper, we analyze why and how formal ontologies and probability theories should be combined and give an example of such a combination in a spatial system. 1 ..."
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In this paper, we analyze why and how formal ontologies and probability theories should be combined and give an example of such a combination in a spatial system. 1
The Analysis of Uncertain Knowledge Based on Meaning of Information
"... Abstract:- The paper discusses four types of knowledge concepts, especially three kinds of uncertain knowledge, based on relationships among data, information and meaning. The goal is to fuse research results on knowledge engineering and epistemology. We analyze four kinds of basic connection forms ..."
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Cited by 2 (0 self)
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Abstract:- The paper discusses four types of knowledge concepts, especially three kinds of uncertain knowledge, based on relationships among data, information and meaning. The goal is to fuse research results on knowledge engineering and epistemology. We analyze four kinds of basic connection forms
A Hybrid Framework for Representing Uncertain Knowledge
- In Proceedings of the Eighth National Conference on Artificial Intelligence
, 1990
"... Abstract This paper addresses the problem of bridging the gap between the fields of Knowledge Renresentation OCR) and Uncertain Reasoning (UR). The prohosed solution consists of a framework for representing uncertain knowledge in which two components, one dealing with (categorical) knowledge and on ..."
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Cited by 5 (3 self)
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Abstract This paper addresses the problem of bridging the gap between the fields of Knowledge Renresentation OCR) and Uncertain Reasoning (UR). The prohosed solution consists of a framework for representing uncertain knowledge in which two components, one dealing with (categorical) knowledge
Time-aware Reasoning in Uncertain Knowledge Bases
- In Proceedings of Management of Uncertain Data (MUD), Singapore 2010
"... Abstract. Time information is ubiquitous on the Web, and considering temporal constraints among facts extracted from the Web is key for high-precision query answering over time-variant factual data. In this paper, we present a simple and efficient representation model for timedependent uncertainty i ..."
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Cited by 8 (4 self)
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in combination with first-order inference rules and recursive queries over RDF-like knowledge bases. In the spirit of data lineage, the intensional (i.e., rule-based) structure of query answers is reflected by Boolean formulas that capture the logical dependencies of each derived answer fact back to its
Uncertain Knowledge Representation and Communicative Behavior in Coordinated Defense
- in Issues in Agent Communication, LNAI
, 1999
"... This paper reports on results we obtained on communication among artificial and human agents interacting in a simulated air defense domain. In our research, we postulate that the artificial agents use a decision-theoretic method to select optimal communicative acts, given the characteristics of the ..."
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Cited by 4 (3 self)
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of the particular situation. Thus, the agents we implemented compute the expected utilities of various alternative communicative acts, and execute the best one. The agents use a probabilistic frame-based knowledge formalism to represent the uncertain information they have about the domain and about the other agents
Sampling-based motion planning using uncertain knowledge
, 2006
"... Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, these approaches still make significant assumptions that limit their applicability for real-world planning. This work describes how one of these assumptions: that the world is perfectly kno ..."
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Cited by 6 (0 self)
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Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, these approaches still make significant assumptions that limit their applicability for real-world planning. This work describes how one of these assumptions: that the world is perfectly known, can be removed. We propose a predictive roadmap planner that incorporates uncertainty directly into the planning process. This enables the planner to identify configuration space paths that minimize the risk due to uncertainty and, when necessary, directs sensing to reduce uncertainty. Experimental results in several domains indicate that the predictive roadmap is adept at planning despite uncertainty in its perception of the workspace. 1
A Specification Language for Uncertain Knowledge Models
"... We extend the language (ML)², which was designed to describe models of expertise in a formal way with an explicit model of uncertainty. Doing this we follow a framework for modeling uncertain expertise which has been presented elsewhere. We review the language (ML)² and the framewo ..."
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We extend the language (ML)², which was designed to describe models of expertise in a formal way with an explicit model of uncertainty. Doing this we follow a framework for modeling uncertain expertise which has been presented elsewhere. We review the language (ML)²
Amoeba-Based Fuzzy Computing for Uncertain Knowledge Processing
"... Fuzzy systems have extensively been applied to process uncertain information and knowledge, and have mostly been implemented on traditional silicon based chips or electronic circuits. This paper proposes a new, non-silicon based paradigm called amoeba-based computing. In this scheme, fuzzy systems, ..."
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Fuzzy systems have extensively been applied to process uncertain information and knowledge, and have mostly been implemented on traditional silicon based chips or electronic circuits. This paper proposes a new, non-silicon based paradigm called amoeba-based computing. In this scheme, fuzzy systems
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