Exact Solution Counting for Artificial Intelligence based
... works try to solve the problem by approximating the solution, that is to say, by offering bounds of the number of solutions (or models). Indeed, it is often difficult or impossible to solve these problems accurately i.e. to obtain the exact number of solutions. So, most works have been achieved by s ...
... works try to solve the problem by approximating the solution, that is to say, by offering bounds of the number of solutions (or models). Indeed, it is often difficult or impossible to solve these problems accurately i.e. to obtain the exact number of solutions. So, most works have been achieved by s ...
Stages of Cognitive Development in Uncertain-Logic
... what type of entity it is (a metalogical knowledge annotation). An example of a weight attached to an Atom is a number representing a probability, or a number representing how important the Atom is to the system. In the framework introduced in the previous section, Novamente’s content representation ...
... what type of entity it is (a metalogical knowledge annotation). An example of a weight attached to an Atom is a number representing a probability, or a number representing how important the Atom is to the system. In the framework introduced in the previous section, Novamente’s content representation ...
Curriculum Vitae
... Main Research Interest: The application and development of machinelearning (ML)—specifically the area of Inductive Logic Programming (ILP), with applications to a wide variety of areas including the sciences (mainly life sciences) and text analysis (information extraction from text). Current Researc ...
... Main Research Interest: The application and development of machinelearning (ML)—specifically the area of Inductive Logic Programming (ILP), with applications to a wide variety of areas including the sciences (mainly life sciences) and text analysis (information extraction from text). Current Researc ...
David Bergman Assistant Professor Operations and Information Management Department School of Business,
... Required course in the Business Data Analytics major Course is administered as a hybrid online and in-person course A re-branding and expansion of the material from OPIM 3506, to include topics from visualization, predictive analytics, and optimization ...
... Required course in the Business Data Analytics major Course is administered as a hybrid online and in-person course A re-branding and expansion of the material from OPIM 3506, to include topics from visualization, predictive analytics, and optimization ...
What is a Knowledge Representation
... Viewing representations as surrogates leads naturally to two important questions. The first question about any surrogate is its intended identity: what is it a surrogate for? There must be some form of correspondence specified between the surrogate and its intended referent in the world; the corresp ...
... Viewing representations as surrogates leads naturally to two important questions. The first question about any surrogate is its intended identity: what is it a surrogate for? There must be some form of correspondence specified between the surrogate and its intended referent in the world; the corresp ...
COMP219 Lec3 agents - Computer Science Intranet
... ◦ Tradeoffs may need to be made between conflicting goals ◦ Where outcome of goals is uncertain, utility enables agent to evaluate goal importance against likelihood of success ◦ Utility-based agents are generally capable of higher quality behaviour than goal-based agents ...
... ◦ Tradeoffs may need to be made between conflicting goals ◦ Where outcome of goals is uncertain, utility enables agent to evaluate goal importance against likelihood of success ◦ Utility-based agents are generally capable of higher quality behaviour than goal-based agents ...
A World Championship Caliber Checkers Program
... In August 1990, Chinook competed in its first two human checkers tournaments, winning the Mississippi State Open (undefeated, winning 3 games against Grandmasters), and coming second in the U.S. National Open (playing 8 4-game matches, winning 4 and drawing 4, including winning 3 games against Grand ...
... In August 1990, Chinook competed in its first two human checkers tournaments, winning the Mississippi State Open (undefeated, winning 3 games against Grandmasters), and coming second in the U.S. National Open (playing 8 4-game matches, winning 4 and drawing 4, including winning 3 games against Grand ...
Language
... cognition – how information is processed and manipulated when remembering, thinking, and knowing ...
... cognition – how information is processed and manipulated when remembering, thinking, and knowing ...
What is Approximate Reasoning? - CORE Scholar
... after some processing time. The (maybe gradual) validity of the given answer can be evaluated by investigating its compliance with an abstract semantics. We will extend this classical conceptualisation in the following way: we allow an algorithm to – roughly spoken – change or refine its output as t ...
... after some processing time. The (maybe gradual) validity of the given answer can be evaluated by investigating its compliance with an abstract semantics. We will extend this classical conceptualisation in the following way: we allow an algorithm to – roughly spoken – change or refine its output as t ...
AAAI Proceedings Template
... engineering challenges of real world applications. Addressing these challenges through goal reasoning should result in more robust agents, and, at the end of this section, we discuss a few ways to measure research progress. ...
... engineering challenges of real world applications. Addressing these challenges through goal reasoning should result in more robust agents, and, at the end of this section, we discuss a few ways to measure research progress. ...
Cognitive Approach to Creativity Cognitive View of Creativity
... • Realization that computers have capacity for intelligent thought – Search for Artificial Intelligence (AI) ...
... • Realization that computers have capacity for intelligent thought – Search for Artificial Intelligence (AI) ...
knowledge management systems support seci
... content based filtering, collaborative filtering and rule based engine. The data which is collected by examining the user's behaviour either directly from evaluating the watched programs or indirectly through the collaboration of other users in the TV social network (Socialization/Tacit) is cross ch ...
... content based filtering, collaborative filtering and rule based engine. The data which is collected by examining the user's behaviour either directly from evaluating the watched programs or indirectly through the collaboration of other users in the TV social network (Socialization/Tacit) is cross ch ...
Elephant 2000: A Programming Language Based on Speech Acts
... offer much; COBOL did not turn out to be much of an advance. This article proposes several new features for programming languages more or less taken from natural language. We also propose new kinds of specifications that make it easier to be confident that the specifications express what is wanted o ...
... offer much; COBOL did not turn out to be much of an advance. This article proposes several new features for programming languages more or less taken from natural language. We also propose new kinds of specifications that make it easier to be confident that the specifications express what is wanted o ...
Robotics Presentation
... Knowledge Reformulation: EBL just restates what the learner already knows You don’t really gain new knowledge! Why do we need it then? In principle, we can compute everything we need using just the domain theory In practice, however, this might not work. Consider chess: Does knowing all the rules ma ...
... Knowledge Reformulation: EBL just restates what the learner already knows You don’t really gain new knowledge! Why do we need it then? In principle, we can compute everything we need using just the domain theory In practice, however, this might not work. Consider chess: Does knowing all the rules ma ...
Intelligent Narrative Technologies: Papers from the
... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the pap ...
... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the pap ...
Supporting Educational Loan Decision Making Using
... which application to accept or reject. The prediction can be done as Neural Network has trained previous batch of loan application data and stored association between application characteristics (attributes) that explains which applications were accepted and rejected. The association in previous dat ...
... which application to accept or reject. The prediction can be done as Neural Network has trained previous batch of loan application data and stored association between application characteristics (attributes) that explains which applications were accepted and rejected. The association in previous dat ...
Detecting Commitment Abandonment by
... successfully to achieve a particular goal [10, 17, 1]. A commitment C(DEBTOR, CREDITOR, antecedent, consequent) formalizes that the agent DEBTOR commits to agent CREDITOR to bring about the consequent if the antecedent holds. The antecedent and consequent conditions are conjunctions or disjunctions ...
... successfully to achieve a particular goal [10, 17, 1]. A commitment C(DEBTOR, CREDITOR, antecedent, consequent) formalizes that the agent DEBTOR commits to agent CREDITOR to bring about the consequent if the antecedent holds. The antecedent and consequent conditions are conjunctions or disjunctions ...
Creating AI: A unique interplay between the development of learning
... Internally code-named ‘HAL’, our child machine has successfully passed the Turing Test at the level of a fifteen-month-old human infant. ...
... Internally code-named ‘HAL’, our child machine has successfully passed the Turing Test at the level of a fifteen-month-old human infant. ...
The 25 International Joint Conference on Artificial Intelligence
... and scenarios, their contact with humans is ever-increasing. Traditionally, most AI systems have tended to exclude humans and the problems that accompany interaction with them. This has enabled the development of algorithms and even end-to-end systems that produce “optimal” artifacts that cut humans ...
... and scenarios, their contact with humans is ever-increasing. Traditionally, most AI systems have tended to exclude humans and the problems that accompany interaction with them. This has enabled the development of algorithms and even end-to-end systems that produce “optimal” artifacts that cut humans ...
ALGORITHMICS
... • As almost all courses in Computer Science it is about problem solving • Its main aim is to present techniques to solve hard problems • There are problems which are hard: – both for humans and computers (e.g. large combinatorial optimization problems, multimodal / multiobjective optimization proble ...
... • As almost all courses in Computer Science it is about problem solving • Its main aim is to present techniques to solve hard problems • There are problems which are hard: – both for humans and computers (e.g. large combinatorial optimization problems, multimodal / multiobjective optimization proble ...
APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN
... Like any other tool, AI techniques have their own limitations. An example is ANN which is often tagged as black boxes that merely attempt to map a relationship between output and input variables based on a training data set. This raises some concerns regarding the ability of the tool to generalize t ...
... Like any other tool, AI techniques have their own limitations. An example is ANN which is often tagged as black boxes that merely attempt to map a relationship between output and input variables based on a training data set. This raises some concerns regarding the ability of the tool to generalize t ...