• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Distributed multi-agent probabilistic reasoning with Bayesian networks
Distributed multi-agent probabilistic reasoning with Bayesian networks

... of a set of variables contained in its subnet. Different agents may acquire pieces of evidence from their local sources asynchronously in parallel. Pearl [10] classifies evidence into specific and virtual. Specific evidence on a variable is obtained by a direct observation of the value of the variab ...
Distributed case-based reasoning
Distributed case-based reasoning

... cooperative agents whereby individual agents are responsible for a particular sub-part of the design task. Agents cooperate to resolve design conflicts as each new design is constructed from the contribution of the distributed agents. However, the negotiated retrieval approach assumes that groups of ...
Rīgas Tehniskā universitāte
Rīgas Tehniskā universitāte

... The sixth section is devoted to the description of the experiments and their results. The experiments are made to estimate the following characteristics of the system: the ability to learn, efficiency of learning with growing knowledge base (the knowledge base is updated during the system’s runtime) ...
Applications of Automated Reasoning Nr. 9/2007 Arbeitsberichte
Applications of Automated Reasoning Nr. 9/2007 Arbeitsberichte

... the concept of logic programming: one starts from a call of the program and then works through a sequence of intermediate computations until  is found. The answer to such a computation can be constructed from the unifiers used during the inference steps. In [BF97] it is shown how the logic programm ...
knowledge base
knowledge base

... as many rules and conditions as possible that are relevant to the hypotheses (problems) being examined. Ideally, the knowledge engineer has unique capabilities that allow him or her to help build the most appropriate rules. This is not easy. The knowledge engineering process can be costly and time-c ...
Life, Biotechnology, and Purposeful Biological Evolution
Life, Biotechnology, and Purposeful Biological Evolution

... discussed throughout previous chapters. At this point, Kelly's concept of a “NeoBiological Civilization” will be described, since it is relevant to much of the subsequent discussion on the future of biology, biotechnology, and ecology. Recall the distinction between centralized-hierarchical organiza ...
AISB/IACAP World Congress 2012 Natural Computing
AISB/IACAP World Congress 2012 Natural Computing

... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
AISB/IACAP World Congress 2012 Natural Computing
AISB/IACAP World Congress 2012 Natural Computing

... At this stage in the development of unconventional (or non-Turing) computation, I think that this is the wrong question. First, we should investigate these processes to discover what computations they perform “naturally”. I would not trust a slime mould computer to spellcheck my writing, or calculat ...
DEPARTMENT OF CYBERNETICS AND ARTIFICIAL INTELLIGENCE
DEPARTMENT OF CYBERNETICS AND ARTIFICIAL INTELLIGENCE

... with automatic reconfiguration has a goal to research, develop and implement the algorithms and control methods of the individual networked control elements, whose interconnections are realized by communication networks using the principles and methods of artificial intelligence. The project main fo ...
Expert System of AI
Expert System of AI

... factor is often attached to the conclusion of each production rule, because the conclusion is not a certainty. For example, a system for the diagnosis of eye diseases might indicate, based on information supplied to it, a 90 percent probability that a person has glaucoma, and it might also list conc ...
A Concise Introduction To Multiagent Systems And Distributed
A Concise Introduction To Multiagent Systems And Distributed

... brachman series editor thomas dietterich series editor, a concise introduction to multiagent systems and - a concise introduction to multiagent systems and distributed artificial intelligence english 2007 isbn 1598295268 84 pages pdf 1 mbmultiagent systems is an, a concise introduction to multiagen ...
Using Rewards for Belief State Updates in Partially Observable
Using Rewards for Belief State Updates in Partially Observable

... POMDP and RPOMDP for updating the belief states, when the Witness algorithm is used to finnd an optimal policy for a finite horizon 10 as well as for an infinite horizon. The reward reported in this table corresponds to the value of an initial belief state drawn uniformly. The dashes in the table sh ...
4.B.1
4.B.1

... history that can be tested. 1.B.3 Non-eukaryotes can transfer genetic information laterally through the mechanisms of transformation, transduction and conjugation; most eukaryotes do not transfer information laterally. Enduring Understanding 1.C. Life continues to evolve within a changing environmen ...
Document
Document

...  Our brain can be considered as a highly complex, non-linear and parallel information-processing system.  Information is stored and processed in a neural network simultaneously throughout the whole network, rather than at specific locations. In other words, in neural networks, both data and its p ...
Applied ontologies and standards for service robots
Applied ontologies and standards for service robots

... • Ontology is A description of the knowledge in a particular field and divided into categories represent concepts and each concept of the characteristics and attributes This concept has been used in a wide applications in artificial intelligence including intelligent robotics and software and the Se ...
Reconstructing  Physical Symbol Systems
Reconstructing Physical Symbol Systems

... connectionist proposals where symbols themselves are hypothesized to be an emergent property of complex dynamical systems (Smolensky, 1988). Rather than accept the classical dichotomy between primitive symbol tokens and composite structures, we could instead work solely with “patterns,” as in the pa ...
Tricas 2008
Tricas 2008

... microampullae found in exclusively freshwater species (e.g. freshwater stingrays and catfish). In addition, physiological studies on ampullary systems reveal that they are all low pass receptors and likely respond best to electric field stimuli that originate from external sources. Thus ampullae are i ...
Deployment and dynamic reconfiguration planning for distributed
Deployment and dynamic reconfiguration planning for distributed

... The first reason is the dynamic nature of the environment for deployment and reconfiguration. Much of the prior work in reconfiguration (see Section 6) has implicitly assumed that the set of resources is fixed and available. For example, the set of machines is static and all of them are available; t ...
Chapter 11 Specialized Business Information Systems
Chapter 11 Specialized Business Information Systems

... Chapter 10 ...
Incorporating the results of co-word analyses to increase search
Incorporating the results of co-word analyses to increase search

... keywords that describe their research content and link papers by the degree of cooccurrence of these keywords to produce a ‘map index’ of a specialty (King, 1987). The traditional co-word analysis techniques have been applied in a number of studies, e.g. (1) using the occurrence of particular concep ...
Analogy-Making as a Complex Adaptive System
Analogy-Making as a Complex Adaptive System

... At a more abstract level, people can easily recognize styles of music—“That sounds like Mozart”—or familiar music transported to a less familiar idiom—“Hey, that’s a muzak version of ‘Hey Jude’.” When you think about it, these are examples of sophisticated analogymaking as well. Any two pieces by Mo ...
CS6659-ARTIFICIAL INTELLIGENCE
CS6659-ARTIFICIAL INTELLIGENCE

... the agent needs some sort of goal information that describes situations that are desirable-for example, being at the passenger's destination. 10. What are utility based agents? Goals alone are not really enough to generate high-quality behavior in most environments. For example, there are many actio ...
an implementation of expert system for
an implementation of expert system for

... make decisions, and provide consultations that normally require a human expert. An ES can be defined as a set of programs that use human expertise as knowledge, which is stored, encoded in knowledge base, and manipulated to solve problems within a specialized domain [1]. From the 60’s, ES have evolv ...
(PPT, 221KB)
(PPT, 221KB)

... Also, while these categories provide an intuitive framework for describing the space of expert systems applications, they are not rigid categories and in some cases an application may show characteristics of more than one category. ...
Forced moves or good tricks in design space? Landmarks in the
Forced moves or good tricks in design space? Landmarks in the

... The next event, node 3, separates the bilateral animals from the other metazoan phyla. All modern bilaterians possess internal organs, a central nervous system, and a ‘brain’ formed by an aggregation of neurons towards the anterior end of the animal. On the basis of recent molecular sequencing analy ...
< 1 ... 8 9 10 11 12 13 14 15 16 ... 94 >

Incomplete Nature



Incomplete Nature: How Mind Emerged from Matter is a 2011 book by biological anthropologist Terrence Deacon. The book covers topics in biosemiotics, philosophy of mind, and the origins of life. Broadly, the book seeks to naturalistically explain ""aboutness"", that is, concepts like intentionality, meaning, normativity, purpose, and function; which Deacon groups together and labels as ententional phenomena.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report