Using Anytime Algorithms in Intelligent Systems
... must visit n cities. If the problem is modeled as a complete graph with n vertexes, the solution becomes a tour, or Hamiltonian cycle, visiting each city exactly once, starting and finishing at the same city. The cost function, Cost(i, j), defines the cost of traveling directly from city i to city j ...
... must visit n cities. If the problem is modeled as a complete graph with n vertexes, the solution becomes a tour, or Hamiltonian cycle, visiting each city exactly once, starting and finishing at the same city. The cost function, Cost(i, j), defines the cost of traveling directly from city i to city j ...
A Normal Form for Argumentation Frameworks
... layer, the heuristics layer, contains the remaining parts of the process, including methods for deciding the justification status of arguments. In this paper, keeping the abstract character of arguments and attacks, we are interested in understanding the syntactical properties of argumentation frame ...
... layer, the heuristics layer, contains the remaining parts of the process, including methods for deciding the justification status of arguments. In this paper, keeping the abstract character of arguments and attacks, we are interested in understanding the syntactical properties of argumentation frame ...
Enactive Artificial Intelligence
... embodiment and situatedness in behavior-based AI and robotics in the late 1980s (e.g. Brooks 1991) has continued to be further developed (e.g. Brooks 1997; Arkin 1998; Pfeifer & Bongard 2007) and has considerably influenced the emergence of a variety of successful AI research programs such as, for e ...
... embodiment and situatedness in behavior-based AI and robotics in the late 1980s (e.g. Brooks 1991) has continued to be further developed (e.g. Brooks 1997; Arkin 1998; Pfeifer & Bongard 2007) and has considerably influenced the emergence of a variety of successful AI research programs such as, for e ...
IUI 2015: ACM International Conference on Intelligent User
... be invited for oral presentation and short papers either as oral or poster presentation. Authors of accepted IUI 2015 full papers will have an opportunity to submit extended versions to the ACM Transactions on Interactive Intelligent Systems (TiiS, tiis.acm.org) for consideration for a special issue ...
... be invited for oral presentation and short papers either as oral or poster presentation. Authors of accepted IUI 2015 full papers will have an opportunity to submit extended versions to the ACM Transactions on Interactive Intelligent Systems (TiiS, tiis.acm.org) for consideration for a special issue ...
lesswrong.com
... without understanding how they work! NNs will do arithmetic without us, their creators, ever understanding how they add. • Need calculators as powerful as a human brain. Moore's Law predicts availability on April 27, 2031 between 4 and 4:30AM. • Must simulate neural circuitry humans use for addition ...
... without understanding how they work! NNs will do arithmetic without us, their creators, ever understanding how they add. • Need calculators as powerful as a human brain. Moore's Law predicts availability on April 27, 2031 between 4 and 4:30AM. • Must simulate neural circuitry humans use for addition ...
Intelligent Agents: Theory and Practice
... widely used, by many people working in closely related areas, it defies attempts to produce a single universally accepted definition. This need not necessarily be a problem: after all, if many people are successfully developing interesting and useful applications, then it hardly matters that they do ...
... widely used, by many people working in closely related areas, it defies attempts to produce a single universally accepted definition. This need not necessarily be a problem: after all, if many people are successfully developing interesting and useful applications, then it hardly matters that they do ...
Heuristic Classification
... heuristic classification can be derived from some simple assumptions about how data and solutions are typically related (Section 4). Another detailed discussion then considers “what gets selected,” possible kinds of solutions (e.g., diagnoses). A taxonomy of problem types is proposed that characteri ...
... heuristic classification can be derived from some simple assumptions about how data and solutions are typically related (Section 4). Another detailed discussion then considers “what gets selected,” possible kinds of solutions (e.g., diagnoses). A taxonomy of problem types is proposed that characteri ...
From Natural Language to Soft Computing: New Paradigms
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
pdf
... pressure in which split-second decisions have to be made, which can have a huge impact on the success of the whole operation. In addition, such decisions often have to be made without having complete information on the current state of affairs. As a result of these factors, errors are frequently obs ...
... pressure in which split-second decisions have to be made, which can have a huge impact on the success of the whole operation. In addition, such decisions often have to be made without having complete information on the current state of affairs. As a result of these factors, errors are frequently obs ...
The Hanson-Yudkowsky AI-Foom Debate
... than three storms have had a large and sustained enough impact to substantially change world economic growth rates.1 Imagine you are a venture capitalist reviewing a proposed business plan. UberTool Corp has identified a candidate set of mutually aiding tools, and plans to spend millions pushing th ...
... than three storms have had a large and sustained enough impact to substantially change world economic growth rates.1 Imagine you are a venture capitalist reviewing a proposed business plan. UberTool Corp has identified a candidate set of mutually aiding tools, and plans to spend millions pushing th ...
Knowledge Management for Computational Intelligence Systems
... (CI)?to define methods relyintelligence on trial systems and error Why Whywould wouldCICIsystems systems need needKM? KM? parameters CBKM CBKMframework framework Why Why would would it itwork? work? • Trial and error improves with ...
... (CI)?to define methods relyintelligence on trial systems and error Why Whywould wouldCICIsystems systems need needKM? KM? parameters CBKM CBKMframework framework Why Why would would it itwork? work? • Trial and error improves with ...
Artificial Intelligence and Robotics and Their Impact on the Workplace
... Strong artificial intelligence: The processes in the computer are intellectual, self-learning processes. Computers can ‘understand’ by means of the right software/programming and are able to optimise their own behaviour on the basis of their former behaviour and their experience.4 This includes auto ...
... Strong artificial intelligence: The processes in the computer are intellectual, self-learning processes. Computers can ‘understand’ by means of the right software/programming and are able to optimise their own behaviour on the basis of their former behaviour and their experience.4 This includes auto ...
The Simulation of Action Strategies of Different Personalities
... also appreciate the efforts of Roman Seidl and Bettina Riegel for helping and carrying out the experiment. Special thanks to Ruth Feith and Karin Baker for their friendly efforts to understand German culture. And special thanks to my parents who gave me great support during this work. ...
... also appreciate the efforts of Roman Seidl and Bettina Riegel for helping and carrying out the experiment. Special thanks to Ruth Feith and Karin Baker for their friendly efforts to understand German culture. And special thanks to my parents who gave me great support during this work. ...
Incremental Heuristic Search in AI
... 1998). They differ in their assumptions, for example, whether they solve single-source or allpairs shortest-path problems, which performance measure they use, when they update the shortest paths, which kinds of graph topologies and edge costs they apply to, and how the graph topology and edge costs ...
... 1998). They differ in their assumptions, for example, whether they solve single-source or allpairs shortest-path problems, which performance measure they use, when they update the shortest paths, which kinds of graph topologies and edge costs they apply to, and how the graph topology and edge costs ...
Analyzing Impact of AI Tools on Traditional Workflow Systems
... able to carry out some task, usually to help a human user. [10] Agent (IA) is an autonomous entity which observes i.e. learn from its environment and use their knowledge to acts upon an environment and directs its activity towards achieving goals. [11] Intelligent agents are often described schemati ...
... able to carry out some task, usually to help a human user. [10] Agent (IA) is an autonomous entity which observes i.e. learn from its environment and use their knowledge to acts upon an environment and directs its activity towards achieving goals. [11] Intelligent agents are often described schemati ...
Dialectic proof procedures for assumption
... be questioned and disputed. Starting perhaps with Toulmin’s landmark book, The Uses of Argument [37], this contrast between conventional logic and argumentation has led many researchers, including Perelman [30] and Walton [39], to regard ordinary, human argumentation as being beyond the reach of for ...
... be questioned and disputed. Starting perhaps with Toulmin’s landmark book, The Uses of Argument [37], this contrast between conventional logic and argumentation has led many researchers, including Perelman [30] and Walton [39], to regard ordinary, human argumentation as being beyond the reach of for ...
Theories and Definitions Part 1
... • The ability to produce products that are not only high in quality, but novel. • They create ideas the “defy the crowd” by intelligently screening their own ideas. • Creativity is meaningful only in the context of the system that judges it, what is creative in one context may not be creative in ano ...
... • The ability to produce products that are not only high in quality, but novel. • They create ideas the “defy the crowd” by intelligently screening their own ideas. • Creativity is meaningful only in the context of the system that judges it, what is creative in one context may not be creative in ano ...
Computing with Words - People @ EECS at UC Berkeley
... a methodology in which the objects of computation are words and propositions drawn from a natural language. [It is] inspired by the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. This statement is very general and mea ...
... a methodology in which the objects of computation are words and propositions drawn from a natural language. [It is] inspired by the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. This statement is very general and mea ...
Creating New Pathways to Justice Using Simple Artificial
... faces ‘information overload.’ She does not understand the situation well enough to know which of the countless guidebooks apply to her situation. Most of the information explains complex court procedures, but she has not been sued yet. The woman knows she needs to do something, but has no idea how t ...
... faces ‘information overload.’ She does not understand the situation well enough to know which of the countless guidebooks apply to her situation. Most of the information explains complex court procedures, but she has not been sued yet. The woman knows she needs to do something, but has no idea how t ...
Chapter 3
... 1. __________ are the cells in the nervous system that receive, integrate, and transmit information. a. Synapse cells b. Neurons c. Glial cells d. Terminal cells 2. What entity in the brain serves the same function as water on a water slide? a. Glial cells b. Cerebrospinal fluid c. Myelin sheath d. ...
... 1. __________ are the cells in the nervous system that receive, integrate, and transmit information. a. Synapse cells b. Neurons c. Glial cells d. Terminal cells 2. What entity in the brain serves the same function as water on a water slide? a. Glial cells b. Cerebrospinal fluid c. Myelin sheath d. ...
A Mixed-Initiative Approach to Rule Refinement for Knowledge
... expert searching for the steps that need to be refined, and also assures that reasoning steps that need refinement will not be omitted, offering to the expert an interactive framework that guides him through this process of rule refinement. Another feature of the Analyze Sub-Tree wizard consists in ...
... expert searching for the steps that need to be refined, and also assures that reasoning steps that need refinement will not be omitted, offering to the expert an interactive framework that guides him through this process of rule refinement. Another feature of the Analyze Sub-Tree wizard consists in ...
Yuxing Chen`s Complete Thesis Booklet
... from biology, social structure, engineering, artificial, visualization and architecture. What’s more, a collection of people can also exhibit swarm behavior, such as pedestrians. From the book, “Emergence”, by Steven Johnson, he also wrote about creating a “form” of living on having emergence logic ...
... from biology, social structure, engineering, artificial, visualization and architecture. What’s more, a collection of people can also exhibit swarm behavior, such as pedestrians. From the book, “Emergence”, by Steven Johnson, he also wrote about creating a “form” of living on having emergence logic ...
AAAI News - Association for the Advancement of Artificial Intelligence
... first recipient of this award was Barbara J. Grosz, Gordon McKay professor of computer science at Harvard University and a past president of AAAI. Grosz was honored for her contributions to the field of AI through sustained service in a multitude of academic, professional society, and government lea ...
... first recipient of this award was Barbara J. Grosz, Gordon McKay professor of computer science at Harvard University and a past president of AAAI. Grosz was honored for her contributions to the field of AI through sustained service in a multitude of academic, professional society, and government lea ...
Inferring preferred extensions by Pstable semantics
... The problem of characterizing abstract argumentation semantics does not only depend of the codification but also in the logic programming semantics. In fact, to find a suitable logic programming semantic is as important as to find a suitable codification for characterizing a particular abstract arg ...
... The problem of characterizing abstract argumentation semantics does not only depend of the codification but also in the logic programming semantics. In fact, to find a suitable logic programming semantic is as important as to find a suitable codification for characterizing a particular abstract arg ...
Complete Workshop Proceedings
... some of them, humans can perform deductions, inductions, and abductions. Furthermore, they are able to perform analogical reasoning steps, non-monotonic inferences, and frequency-based inferences (at least to a certain extent). Additionally, human agents are able to reason with vague and uncertain k ...
... some of them, humans can perform deductions, inductions, and abductions. Furthermore, they are able to perform analogical reasoning steps, non-monotonic inferences, and frequency-based inferences (at least to a certain extent). Additionally, human agents are able to reason with vague and uncertain k ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑