Angry-HEX: An Artificial Player for Angry Birds Based on Declarative
... participating agent runs on a client which connects the browser game to the server according to a given protocol. An artificial player can also obtain the current reference scores for each level, and can prompt the server for executing a shot, which will in turn be performed in the corresponding gam ...
... participating agent runs on a client which connects the browser game to the server according to a given protocol. An artificial player can also obtain the current reference scores for each level, and can prompt the server for executing a shot, which will in turn be performed in the corresponding gam ...
On the continuity of Gelfond-Lifschitz operator and other applications
... studied in the literature. Recently the area of proof systems for ASP (and more generally, nonmonotonic logics) received a lot of attention [GS07,JO07]. It is clear that the community feels that an additional attention to these area is necessary. Nevertheless, there is no clear classification of pr ...
... studied in the literature. Recently the area of proof systems for ASP (and more generally, nonmonotonic logics) received a lot of attention [GS07,JO07]. It is clear that the community feels that an additional attention to these area is necessary. Nevertheless, there is no clear classification of pr ...
How Hard is Artificial Intelligence? Evolutionary
... billion years of evolution (longer than the existence of nervous systems as we know them) in a year’s runtime these figures would give us a range of 1031-1044 FLOPS. By contrast, the Japanese K computer, currently the world’s most powerful supercomputer, provides only 1016 FLOPS. In recent years it ...
... billion years of evolution (longer than the existence of nervous systems as we know them) in a year’s runtime these figures would give us a range of 1031-1044 FLOPS. By contrast, the Japanese K computer, currently the world’s most powerful supercomputer, provides only 1016 FLOPS. In recent years it ...
pdf-fulltext - International Review of Information Ethics
... between the involved actors. Human actors can experience other actors as "actable" if these actors present themselves in a way, which is interpretable out of their own experiences.1 That does not mean that this is the intended interpretation because each actor has an own individual horizon of experi ...
... between the involved actors. Human actors can experience other actors as "actable" if these actors present themselves in a way, which is interpretable out of their own experiences.1 That does not mean that this is the intended interpretation because each actor has an own individual horizon of experi ...
(G5AIAI) - 2001/02
... some examples from Turing’s paper which describes some of the things the computer should be able to do. For example, answer a question on maths but take its time and occasionally get it wrong. Or discuss a sonnet of Shakespeare. b) If The Turing Test is passed does this show that computers exhibit i ...
... some examples from Turing’s paper which describes some of the things the computer should be able to do. For example, answer a question on maths but take its time and occasionally get it wrong. Or discuss a sonnet of Shakespeare. b) If The Turing Test is passed does this show that computers exhibit i ...
Why do anything? Abstract
... one of several types, for example physiological (James 1884; Plutchik 1994), evolutionary (Darwin 1892), expression (Ekman 1994), appraisal (Scherer 2001) or goal based (Oatley 1992). This is partially due to different programmatic objectives within, for example, neurophysiology, psychology, philoso ...
... one of several types, for example physiological (James 1884; Plutchik 1994), evolutionary (Darwin 1892), expression (Ekman 1994), appraisal (Scherer 2001) or goal based (Oatley 1992). This is partially due to different programmatic objectives within, for example, neurophysiology, psychology, philoso ...
Introduction to Artificial Intelligence State Space Search
... • Ordered search looked only at the promise of the node, not necessarily at the minimum cost or path • We can change f* slightly to find a minimum cost solution ...
... • Ordered search looked only at the promise of the node, not necessarily at the minimum cost or path • We can change f* slightly to find a minimum cost solution ...
PowerPoint - University of Virginia, Department of Computer Science
... Start with KB full of first-order definite clauses • Disjunction of literals with exactly one positive – Equivalent to implication with conjunction of positive literals on left (antecedent / body / premise) and one positive literal on right (consequent / head / conclusion) ...
... Start with KB full of first-order definite clauses • Disjunction of literals with exactly one positive – Equivalent to implication with conjunction of positive literals on left (antecedent / body / premise) and one positive literal on right (consequent / head / conclusion) ...
ILP turns 20 | SpringerLink
... gene/protein/metabolites and their interrelations. Then, theory completion can find missing links in incomplete networks, and those found hypotheses enable scientists to experiment with focused cases. Probability can be combined with logical inference, offering tools for modeling biological processe ...
... gene/protein/metabolites and their interrelations. Then, theory completion can find missing links in incomplete networks, and those found hypotheses enable scientists to experiment with focused cases. Probability can be combined with logical inference, offering tools for modeling biological processe ...
Artificial Intelligence 2.2 Heuristic (Informed) Search
... Informed search depends on good heuristics Heuristic = method to help solve a problem, commonly informal – "rules of thumb", educated guesses, intuitive judgments or simply common sense ...
... Informed search depends on good heuristics Heuristic = method to help solve a problem, commonly informal – "rules of thumb", educated guesses, intuitive judgments or simply common sense ...
lecture5
... engineering judgments and including intuition in the solution procedure. Expert system is a branch of Artificial Intelligence but it differs from others in that: It deals with subject matter of realistic complexity It must exhibit high performance It must be plausible ...
... engineering judgments and including intuition in the solution procedure. Expert system is a branch of Artificial Intelligence but it differs from others in that: It deals with subject matter of realistic complexity It must exhibit high performance It must be plausible ...
Scripting, AI, Physics, and Behaviors
... create animation-driven or time-driven code – Exploit latent functions (like FinishAnim and ...
... create animation-driven or time-driven code – Exploit latent functions (like FinishAnim and ...
Main Areas of AI
... AI in General and What Is not Covered in COSC 6368 • Robotics is a quite important sub-field of AI, but very few teach it in the graduate AI class. • Natural language understanding probably will not be covered. • Intelligent Agents and AI for the Internet could/should possibly be covered in a littl ...
... AI in General and What Is not Covered in COSC 6368 • Robotics is a quite important sub-field of AI, but very few teach it in the graduate AI class. • Natural language understanding probably will not be covered. • Intelligent Agents and AI for the Internet could/should possibly be covered in a littl ...
MULTIPLE-AGENT PLANNING SYSTEMS Kurt Konolige Nils J. Nilsson
... of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the preconditions and effects of its own ac ...
... of these agents, the others are dynamic entities that possess information about the world, have goals, make plans to achieve these goals, and execute these plans. Thus, each agent must represent not only the usual information about objects in the world and the preconditions and effects of its own ac ...
myworld: an agent-oriented testbed for distributed artificial intelligence
... As a research discipline, Distributed Artificial Intelligence (DAI) is less than fifteen years old; even by the standards of AI, this makes it something of an infant. In all sciences at such an early stage of evolution, experimentation must play a key role, developing the concepts that formalists ul ...
... As a research discipline, Distributed Artificial Intelligence (DAI) is less than fifteen years old; even by the standards of AI, this makes it something of an infant. In all sciences at such an early stage of evolution, experimentation must play a key role, developing the concepts that formalists ul ...
The promise of artificial intelligence
... • Privacy concerns may discourage use of AI in developed economies ...
... • Privacy concerns may discourage use of AI in developed economies ...
Solving Distributed Constraint Optimization Problems Using Logic
... Department of Computer Science New Mexico State University {tile, tson, epontell, wyeoh}@cs.nmsu.edu ...
... Department of Computer Science New Mexico State University {tile, tson, epontell, wyeoh}@cs.nmsu.edu ...
SPRING 2001 5 Insert Honeywell Ad
... Allen Newell Award AAAI is pleased to announce that Lotfi Zadeh of the University of California at Berkeley was the recipient of the 2000 ACM/AAAI Allen Newell Award. The ACM/AAAI Allen Newell Award is presented annually to an individual whose career contributions display breadth within computer sci ...
... Allen Newell Award AAAI is pleased to announce that Lotfi Zadeh of the University of California at Berkeley was the recipient of the 2000 ACM/AAAI Allen Newell Award. The ACM/AAAI Allen Newell Award is presented annually to an individual whose career contributions display breadth within computer sci ...
Managing Knowledge in the Digital Firm
... using sophisticated graphics software Virtual Reality Systems: • Interactive graphics software and hardware that create computer-generated simulations that emulate real-world activities or photorealistic simulations ...
... using sophisticated graphics software Virtual Reality Systems: • Interactive graphics software and hardware that create computer-generated simulations that emulate real-world activities or photorealistic simulations ...
Nineteenth National Conference on Artificial Intelligence Calls for Papers, Proposals, &
... is the Nineteenth National Conference on Artificial Intelligence (AI). The purpose of this conference is to promote research in AI and scientific interchange among AI researchers, practitioners, and scientists and engineers in related disciplines. AAAI-04 will have multiple technical tracks, poster ...
... is the Nineteenth National Conference on Artificial Intelligence (AI). The purpose of this conference is to promote research in AI and scientific interchange among AI researchers, practitioners, and scientists and engineers in related disciplines. AAAI-04 will have multiple technical tracks, poster ...
Megan Reichlen
... ancient history section discussed the ideas of the ancient Greeks that were similar to AI, such as golems, mechanical toys, and some Greek myths, including Pygmalion and Hephaestus. Mechanical toys comprised the bulk of artificial intelligence up until the 20th century. In the 1950s and 1960s, some ...
... ancient history section discussed the ideas of the ancient Greeks that were similar to AI, such as golems, mechanical toys, and some Greek myths, including Pygmalion and Hephaestus. Mechanical toys comprised the bulk of artificial intelligence up until the 20th century. In the 1950s and 1960s, some ...
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 ...