6.034 Artificial Intelligence by T. Lozano
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Theref ...
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Theref ...
Rule Insertion and Rule Extraction from Evolving Fuzzy
... AI and intelligent engineering systems in the past two years. Despite their success, more flexible tools for dynamic rule adaptation, rule extraction from data, and rule insertion in a rule base are particulary needed when expert systems have to operate in an adaptive, on-line mode, and in a dynamic ...
... AI and intelligent engineering systems in the past two years. Despite their success, more flexible tools for dynamic rule adaptation, rule extraction from data, and rule insertion in a rule base are particulary needed when expert systems have to operate in an adaptive, on-line mode, and in a dynamic ...
Vision-Language Integration in AI: a reality check
... the analysis of another medium. Most of the systems in this category use natural language derived information to enhance their image understanding capabilities. The second category includes media translation systems, i.e. systems that allow for the generation of one medium given another. These syste ...
... the analysis of another medium. Most of the systems in this category use natural language derived information to enhance their image understanding capabilities. The second category includes media translation systems, i.e. systems that allow for the generation of one medium given another. These syste ...
Tort Liability for Artificial Intelligence and Expert Systems, 10
... specified domain of knowledge. An ES reasons by manipulating abstract symbology rather than the external or real world. The human user must interpret the output, and the output does not interact directly with later inputs to the program. While both AI and ES programs use techniques drawn from curren ...
... specified domain of knowledge. An ES reasons by manipulating abstract symbology rather than the external or real world. The human user must interpret the output, and the output does not interact directly with later inputs to the program. While both AI and ES programs use techniques drawn from curren ...
Bayesian Networks for Logical Reasoning
... querying a database, checking a computer program, maintaining consistency of a knowledge base and deriving predictions from a model are only few of the tasks that can be considered theorem-proving problems. Finding a proof is rarely an easy matter, thus automated theorem proving and automated proof ...
... querying a database, checking a computer program, maintaining consistency of a knowledge base and deriving predictions from a model are only few of the tasks that can be considered theorem-proving problems. Finding a proof is rarely an easy matter, thus automated theorem proving and automated proof ...
TOWARDS A MENTAL PROBABILITY LOGIC Niki PFEIFER
... operators of negation, conjunction, and disjunction. There is no logical operator of conditioning. “Logic lacks a conditioning operator corresponding to conditional probability” (Goodman et al., 1991). This is a fundamental property (Lewis triviality result), that distinguishes conditioning from mat ...
... operators of negation, conjunction, and disjunction. There is no logical operator of conditioning. “Logic lacks a conditioning operator corresponding to conditional probability” (Goodman et al., 1991). This is a fundamental property (Lewis triviality result), that distinguishes conditioning from mat ...
An Overview of Some Recent Developments in Bayesian Problem
... conditions, sensor measurement errors, and threat identification errors. Bayesian networks are used to determine the optimal time to fire each self defense asset given the evidence from the ship’s sensors. Because of limitations and constraints associated with each self defense asset, it is not alwa ...
... conditions, sensor measurement errors, and threat identification errors. Bayesian networks are used to determine the optimal time to fire each self defense asset given the evidence from the ship’s sensors. Because of limitations and constraints associated with each self defense asset, it is not alwa ...
Robotics and Artificial Intelligence: a Perspective on
... Robotics is an interdisciplinary integrative field, at the confluence of several areas, ranging from mechanical and electrical engineering to control theory and computer science, with recent extensions toward material physics, bioengineering or cognitive sciences. The AI–Robotics intersection is ver ...
... Robotics is an interdisciplinary integrative field, at the confluence of several areas, ranging from mechanical and electrical engineering to control theory and computer science, with recent extensions toward material physics, bioengineering or cognitive sciences. The AI–Robotics intersection is ver ...
Plausibility structures for default reasoning
... Friedman and Halpern have introduced inference by plausibility and shown it to encompass various kinds of default reasoning [4, 5]. A feature of this inference is that the rule (AND) – if ψ1 and ψ2 can be derived, then their conjunction ψ1 ∧ ψ2 can be derived – is not necessarily satisfied. Many int ...
... Friedman and Halpern have introduced inference by plausibility and shown it to encompass various kinds of default reasoning [4, 5]. A feature of this inference is that the rule (AND) – if ψ1 and ψ2 can be derived, then their conjunction ψ1 ∧ ψ2 can be derived – is not necessarily satisfied. Many int ...
pptx 5/24
... Baseline: All words from Q & A Boost-Answer-N: All words, but weight Answer wds by N Boolean-Answer: All words, but answer must appear Phrases: All words, but group ‘phrases’ by shallow proc Phrase-Answer: All words, Answer words as phrase ...
... Baseline: All words from Q & A Boost-Answer-N: All words, but weight Answer wds by N Boolean-Answer: All words, but answer must appear Phrases: All words, but group ‘phrases’ by shallow proc Phrase-Answer: All words, Answer words as phrase ...
Transfer Learning through Indirect Encoding - Eplex
... An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML). One popular ML domain is RoboCup and its subtasks (e.g. Keepaway). This paper shows how a GDS approach called HyperNEAT ...
... An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML). One popular ML domain is RoboCup and its subtasks (e.g. Keepaway). This paper shows how a GDS approach called HyperNEAT ...
ILP turns 20 | SpringerLink
... 3.3 The role of logic programming In order to understand the development of ILP as a research area, it is important to reflect on its origins in and relationship with Logic Programming, which emerged as a declarative programming paradigm in the 1970s and became influential in the 1980s. Although it ...
... 3.3 The role of logic programming In order to understand the development of ILP as a research area, it is important to reflect on its origins in and relationship with Logic Programming, which emerged as a declarative programming paradigm in the 1970s and became influential in the 1980s. Although it ...
Reconstructing Physical Symbol Systems
... that are not physical symbol systems. (Newell, 1980a, p. 171) Rather than acknowledge this possibility, Vera and Simon have mistakenly tried to define all processing as symbolic. In describing Brooks’ creatures, they say that “sensory information is converted to symbols, which are then processed and ...
... that are not physical symbol systems. (Newell, 1980a, p. 171) Rather than acknowledge this possibility, Vera and Simon have mistakenly tried to define all processing as symbolic. In describing Brooks’ creatures, they say that “sensory information is converted to symbols, which are then processed and ...
Intelligent approaches to manage changes and disturbances in
... level of manufacturing systems. Theses 4, 5, and 6 relate to this part of research. After each thesis the main references are listed that detail the results of the specific thesis. The sections of the dissertation relevant for the thesis are also indicated here (e.g. D3.2). ...
... level of manufacturing systems. Theses 4, 5, and 6 relate to this part of research. After each thesis the main references are listed that detail the results of the specific thesis. The sections of the dissertation relevant for the thesis are also indicated here (e.g. D3.2). ...
Special Issue on Semantic Web Meets
... ultimately make the generated knowledge easily available to authorized users. The objective is to be able to find correlations and patterns in time and space, to develop models in real time and to extract useful knowledge that can be used, for example, to improve productivity, to enhance safety or t ...
... ultimately make the generated knowledge easily available to authorized users. The objective is to be able to find correlations and patterns in time and space, to develop models in real time and to extract useful knowledge that can be used, for example, to improve productivity, to enhance safety or t ...
Publication : An introduction to Soar as an agent architecture
... representations with which agent programs can be constructed (Russell & Norvig, 1995). ...
... representations with which agent programs can be constructed (Russell & Norvig, 1995). ...
Lecture I -- Introduction and Intelligent Agent
... Discrete (vs. continuous): A limited number of distinct, clearly defined percepts and actions. ...
... Discrete (vs. continuous): A limited number of distinct, clearly defined percepts and actions. ...
? A Unified Semantic Framework for Fully
... (generalized) Kripke valuations for which it is strongly sound and complete. In fact, we provide a uniform method to obtain these sets of Kripke valuations. In many important cases, the usual well-known soundness and completeness theorems for known calculi are simple corollaries of this general meth ...
... (generalized) Kripke valuations for which it is strongly sound and complete. In fact, we provide a uniform method to obtain these sets of Kripke valuations. In many important cases, the usual well-known soundness and completeness theorems for known calculi are simple corollaries of this general meth ...
Applications of Artificial Intelligence
... We are connected to one person and one machine via a terminal, therefore we can't see our counterparts. Our task is to find out which of the two candidates is the machine, and which is the human only by asking them questions. If the machine can "fool" us, it is intelligent. ...
... We are connected to one person and one machine via a terminal, therefore we can't see our counterparts. Our task is to find out which of the two candidates is the machine, and which is the human only by asking them questions. If the machine can "fool" us, it is intelligent. ...
Document
... the threat of hundreds of thousands of people struggling to find food and water to more than one nuclear reactor meltdown Sunday climbed past 10,000 . The prime minister since World War II, said the nation's worst crisis. ...
... the threat of hundreds of thousands of people struggling to find food and water to more than one nuclear reactor meltdown Sunday climbed past 10,000 . The prime minister since World War II, said the nation's worst crisis. ...
Company Name
... Purpose: A research and development company specializing in intelligent mobile robots and their applications. They develop and market intelligent mobile robots to colleges, government, and research institutions. It is the longest operating AI specialty company in Canada. Location: Canada History: Fo ...
... Purpose: A research and development company specializing in intelligent mobile robots and their applications. They develop and market intelligent mobile robots to colleges, government, and research institutions. It is the longest operating AI specialty company in Canada. Location: Canada History: Fo ...
Fuzzy Information Approaches to Equipment Condition Monitoring and Diagnosis
... Several techniques for representing uncertainty in expert systems have been proposed in the AI literature including Bayesian analysis and certainty measures [4]. For the most part, these techniques are ad-hoc methods that emphasize simplifying coding of the uncertainty. This work begins from a funda ...
... Several techniques for representing uncertainty in expert systems have been proposed in the AI literature including Bayesian analysis and certainty measures [4]. For the most part, these techniques are ad-hoc methods that emphasize simplifying coding of the uncertainty. This work begins from a funda ...
Lecture I -- Introduction and Intelligent Agent
... Discrete (vs. continuous): A limited number of distinct, clearly defined percepts and actions. ...
... Discrete (vs. continuous): A limited number of distinct, clearly defined percepts and actions. ...
Learning Abductive Reasoning Using Random Examples
... We can refer directly to notions of (approximate) “validity” and “entailment” in this model because we assume that we have completely specified examples, on which the various formulas can be evaluated directly, much as in modelbased reasoning (Kautz, Kearns, and Selman 1995).1 We stress that all of ...
... We can refer directly to notions of (approximate) “validity” and “entailment” in this model because we assume that we have completely specified examples, on which the various formulas can be evaluated directly, much as in modelbased reasoning (Kautz, Kearns, and Selman 1995).1 We stress that all of ...