Introduction to The Soar Papers - Autonomous Learning Laboratory
... discursive front matter, is then used to deal with hidden secondary contributions. Such an approach was not taken for this collection because it loses the logical (and historical) flow of the material ! which is particularly important when following the development of a single system such as Soar ! ...
... discursive front matter, is then used to deal with hidden secondary contributions. Such an approach was not taken for this collection because it loses the logical (and historical) flow of the material ! which is particularly important when following the development of a single system such as Soar ! ...
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 ...
A Framework for the Foundation of the Philosophy of Artificial
... to be considered intelligent. There exist several other reasons for which the evidence of the strong ties between AI and philosophy represents only a starting point. By enlarging the whole scenario, this paper represents a preliminary attempt to include, with a taxonomical purpose, in the same conte ...
... to be considered intelligent. There exist several other reasons for which the evidence of the strong ties between AI and philosophy represents only a starting point. By enlarging the whole scenario, this paper represents a preliminary attempt to include, with a taxonomical purpose, in the same conte ...
Intellectual development statement
... reasonable voting rule suffers from the problem that a voter can benefit from manipulating in some cases.2 One line of research in the computational social choice community studies whether finding such opportunities for manipulation can be made computationally hard, so that even though they must exi ...
... reasonable voting rule suffers from the problem that a voter can benefit from manipulating in some cases.2 One line of research in the computational social choice community studies whether finding such opportunities for manipulation can be made computationally hard, so that even though they must exi ...
Incremental temporal reasoning in job shop scheduling repair Please share
... logic and neural network [2]. This paper will aim at constraint-based scheduling approaches because (1) the real-time status of job shop could be collected by RFID devices and manipulated by a reactive monitoring system, which is built on a constraint-based reactive language (reactive model-based pr ...
... logic and neural network [2]. This paper will aim at constraint-based scheduling approaches because (1) the real-time status of job shop could be collected by RFID devices and manipulated by a reactive monitoring system, which is built on a constraint-based reactive language (reactive model-based pr ...
AAAI Proceedings Template
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
Artificial Intelligence
... The programme is based on the principles of ‘learning by doing’ and ‘active learning’. The committee is of the opinion that the educational format is consistently implemented, with an important role for the projects in each semester. Students also appreciate the projects and confirmed that they lear ...
... The programme is based on the principles of ‘learning by doing’ and ‘active learning’. The committee is of the opinion that the educational format is consistently implemented, with an important role for the projects in each semester. Students also appreciate the projects and confirmed that they lear ...
Expertise, Task Complexity, and the Role of Intelligent Information
... is a part. The role and mission of any given information service are necessarily unique and situational (Buckland, 1989). The preference with respect to outcomes, the basis for evaluation, is also, in practice, complex and multi-dimensional (e.g. McDonald, 1987). Whatever assumptions are made in any ...
... is a part. The role and mission of any given information service are necessarily unique and situational (Buckland, 1989). The preference with respect to outcomes, the basis for evaluation, is also, in practice, complex and multi-dimensional (e.g. McDonald, 1987). Whatever assumptions are made in any ...
Fromkin Rodman Hyams 403
... frequency and word associations. • Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams 379) ...
... frequency and word associations. • Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams 379) ...
Madagascar: Scalable Planning with SAT
... Kautz and Selman (1996) proposed testing the satisfiability of Φt for different values of t = 0, 1, 2, . . . sequentially, until a satisfiable formula is found. This strategy is asymptotically optimal if the t parameter corresponds to the plan quality measure to be minimized, as it would with sequen ...
... Kautz and Selman (1996) proposed testing the satisfiability of Φt for different values of t = 0, 1, 2, . . . sequentially, until a satisfiable formula is found. This strategy is asymptotically optimal if the t parameter corresponds to the plan quality measure to be minimized, as it would with sequen ...
Genetic Algorithm Optimization of Membership Functions for
... Find sequence of actions that lead to a desirable state Intelligent agents should make a set of changes in the state of the environment that maximizes the performance measure Life is simpler if we can set a goal and aim to satisfy it. ...
... Find sequence of actions that lead to a desirable state Intelligent agents should make a set of changes in the state of the environment that maximizes the performance measure Life is simpler if we can set a goal and aim to satisfy it. ...
CMSC 372 Artificial Intelligence
... Several basic agent types exist: reflex, reflex with state (model), goal-based, utility-based ...
... Several basic agent types exist: reflex, reflex with state (model), goal-based, utility-based ...
Complex Preferences for Answer Set Optimization
... constraints (i.e., constraints whose bodies are satisfied) is computed. The answer sets with minimal overall penalty in one level are compared based on the overall penalties of the next level, etc. Such constraints were used, for instance, to implement planning under action costs as described in (Ei ...
... constraints (i.e., constraints whose bodies are satisfied) is computed. The answer sets with minimal overall penalty in one level are compared based on the overall penalties of the next level, etc. Such constraints were used, for instance, to implement planning under action costs as described in (Ei ...
Knowledgebase Compilation for Efficient Logical Argumentation
... Another approximation approach is cost-bounded argumentation proposed for a form of probabilistic argumentation (Haenni 2001). For this, the cost is a function of the premises used for each argument, and this is justified in terms of probabilities associated with the formulae. In effect, the cost fu ...
... Another approximation approach is cost-bounded argumentation proposed for a form of probabilistic argumentation (Haenni 2001). For this, the cost is a function of the premises used for each argument, and this is justified in terms of probabilities associated with the formulae. In effect, the cost fu ...
md hassan - Computer and Information Science
... Dr.Danny Kopec: Danny Kopec (born February 28, 1954 ) .Dr.D.Kopec now professor of Department of Computer Information System,and Deputy Graduate Chairperson of Brooklyn College,New York.Dr.Kopec is dedicated researcher and published lot of papers on AI field.Dr.Kopec got Ph.D.in Machine Intelligence ...
... Dr.Danny Kopec: Danny Kopec (born February 28, 1954 ) .Dr.D.Kopec now professor of Department of Computer Information System,and Deputy Graduate Chairperson of Brooklyn College,New York.Dr.Kopec is dedicated researcher and published lot of papers on AI field.Dr.Kopec got Ph.D.in Machine Intelligence ...
Chapter 9 Not Knowing Mar. `10 “Ignorance is the necessary
... failure. “There is no such meeting” means “We have failed to determine that such a meeting will occur”. The “no” of negation as failure reflects a failure to know. In these contexts, “no” is an epistemic term.3 This establishes the link between negation as failure reasoning and ad ignorantiam reason ...
... failure. “There is no such meeting” means “We have failed to determine that such a meeting will occur”. The “no” of negation as failure reflects a failure to know. In these contexts, “no” is an epistemic term.3 This establishes the link between negation as failure reasoning and ad ignorantiam reason ...
Measurements of collective machine intelligence
... has been made. The Turing Test expresses how far a computer is able to resemble a human. It is named after its famous inventor who was very concerned with machine intelligence already in 1950. Turing [57] asked for instance whether computers would one day be able to “think”. He was convinced that on ...
... has been made. The Turing Test expresses how far a computer is able to resemble a human. It is named after its famous inventor who was very concerned with machine intelligence already in 1950. Turing [57] asked for instance whether computers would one day be able to “think”. He was convinced that on ...
CS 561a: Introduction to Artificial Intelligence
... more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or even to meet other agents • Example: E-mail Systems • Mail Transfer Agent ( MTA, e.g., Sendmail, Postfix, etc.) • Mail User Agent ( MUA, e.g., Outlook express, Netscape ...
... more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or even to meet other agents • Example: E-mail Systems • Mail Transfer Agent ( MTA, e.g., Sendmail, Postfix, etc.) • Mail User Agent ( MUA, e.g., Outlook express, Netscape ...
PDF file
... It is difficult to understand the requirement of internal memory without considering a key concept called context. The need of an internal environment is determined by the need of representing a distinguishable context state, or often simply called state. It is important to note, however, that the t ...
... It is difficult to understand the requirement of internal memory without considering a key concept called context. The need of an internal environment is determined by the need of representing a distinguishable context state, or often simply called state. It is important to note, however, that the t ...
A Argumentation Mining: State of the Art and Emerging Trends
... Argumentation is a multi-disciplinary research field, which studies debate and reasoning processes, and spans across and ties together diverse areas such as logic and philosophy, language, rhetoric and law, psychology and computer science. Argumentation has come to be increasingly central as a core ...
... Argumentation is a multi-disciplinary research field, which studies debate and reasoning processes, and spans across and ties together diverse areas such as logic and philosophy, language, rhetoric and law, psychology and computer science. Argumentation has come to be increasingly central as a core ...
Radical Enactivism, Wittgenstein and the cognitive gap
... Hutto and Myin (2013) propose to radicalize Enactivism by showing that creatures can respond in lots of intelligent ways to their environments without the use of internal mechanisms that present or represent the world as being a certain way. They do this by challenging the idea that we have to posit ...
... Hutto and Myin (2013) propose to radicalize Enactivism by showing that creatures can respond in lots of intelligent ways to their environments without the use of internal mechanisms that present or represent the world as being a certain way. They do this by challenging the idea that we have to posit ...
In 9122 Applied Soft Computing
... has to travel from one city to another and a must that he is not supposed to return to the same city again and finally he has to reach back to his starting position. For this the law of finding the solution is n-1!, where n is total number of cities, he has to travel and assuming that he has to trav ...
... has to travel from one city to another and a must that he is not supposed to return to the same city again and finally he has to reach back to his starting position. For this the law of finding the solution is n-1!, where n is total number of cities, he has to travel and assuming that he has to trav ...
Final Course Review
... know represented in some useful way. A knowledge-based agent operates by storing sentences about the world in its knowledge base, using the inference mechanism to infer new sentences, and using these sentences to decide what action to take. • The knowledge base cannot be a simple table because an ...
... know represented in some useful way. A knowledge-based agent operates by storing sentences about the world in its knowledge base, using the inference mechanism to infer new sentences, and using these sentences to decide what action to take. • The knowledge base cannot be a simple table because an ...
Michael Arbib and Laurent Itti: CS564
... The reinforcement signal can be any signal evaluating the learning system's actions, not just a success/failure signal Often it takes on real values, and the objective of learning is to maximize its expected value. The critic does not directly tell the learning system how to change its actions. Rein ...
... The reinforcement signal can be any signal evaluating the learning system's actions, not just a success/failure signal Often it takes on real values, and the objective of learning is to maximize its expected value. The critic does not directly tell the learning system how to change its actions. Rein ...
Artificial Intelligence
... the opinion that the objectives as described in the course descriptions could be more uniform and more explicitly related to the intended learning outcomes. The committee is positive about the mandatory first semester of the programme. This ensures that all international students have the same start ...
... the opinion that the objectives as described in the course descriptions could be more uniform and more explicitly related to the intended learning outcomes. The committee is positive about the mandatory first semester of the programme. This ensures that all international students have the same start ...
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.""↑ ↑ ↑ ↑ ↑ ↑