COMP5511 Artificial Intelligence Concepts
... This course explores the core AI concepts. It provides a comprehensive introduction to the problems and techniques of artificial intelligence. Theory and practice are both emphasized. To enhance the understanding of how conceptions and ideas in AI are actually implemented, prolog and expert system s ...
... This course explores the core AI concepts. It provides a comprehensive introduction to the problems and techniques of artificial intelligence. Theory and practice are both emphasized. To enhance the understanding of how conceptions and ideas in AI are actually implemented, prolog and expert system s ...
What is Artificial Intelligence?
... • Static (vs. dynamic): The environment is unchanged while an agent is deliberating. (The environment is semidynamic if the environment itself does not change with the passage of time but the agent's performance score does) • Discrete (vs. continuous): A limited number of distinct, clearly defined p ...
... • Static (vs. dynamic): The environment is unchanged while an agent is deliberating. (The environment is semidynamic if the environment itself does not change with the passage of time but the agent's performance score does) • Discrete (vs. continuous): A limited number of distinct, clearly defined p ...
Final Lecture: Fun, mainly Today’s Plan
... Deep Blue. [IBM] • Supercomputer, augmented by VLSI chess chips. • 200 million board positions per second. ...
... Deep Blue. [IBM] • Supercomputer, augmented by VLSI chess chips. • 200 million board positions per second. ...
Slide 1
... Cognitive Science → theories that study the way human would think . The interdisciplinary field of cognitive science brings together computer models from AI and experimental techniques from psychology to try to construct precise and testable theories of the workings of the human mind. ...
... Cognitive Science → theories that study the way human would think . The interdisciplinary field of cognitive science brings together computer models from AI and experimental techniques from psychology to try to construct precise and testable theories of the workings of the human mind. ...
Artificial Intelligence: Your Phone Is Smart, but Can It Think?
... She remarked that the machine “has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths” ...
... She remarked that the machine “has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths” ...
On the computational complexity of evolution
... Theorem 2. The problem of detecting an ESS in a doubly symmetric bimatrix game is coNPcomplete. Proof. In light of Lemma 2 and Theorem 1, which together show that the problem of detecting an ESS in a doubly symmetric game is coNP-hard, it suffices to show that the problem of detecting an ESS in a do ...
... Theorem 2. The problem of detecting an ESS in a doubly symmetric bimatrix game is coNPcomplete. Proof. In light of Lemma 2 and Theorem 1, which together show that the problem of detecting an ESS in a doubly symmetric game is coNP-hard, it suffices to show that the problem of detecting an ESS in a do ...
Cartels and collusion in oligopoly • Single-period non
... Subgame-Perfect Equilibrium 1 • Game: model of interaction between a group of players (prisoners, firms, people) • Each player (or firm) attempts to maximize its own payoffs • Multi-period game most conveniently represented by a game tree. Nodes are junctures of game tree, at which a player moves. ...
... Subgame-Perfect Equilibrium 1 • Game: model of interaction between a group of players (prisoners, firms, people) • Each player (or firm) attempts to maximize its own payoffs • Multi-period game most conveniently represented by a game tree. Nodes are junctures of game tree, at which a player moves. ...
Document
... The other objection is that a computer might seem to be behaving in an intelligent manner, while it’s really just imitating behaviour. This might be true, but notice that when a parrot talks, or a horse counts, or a pet obeys our instructions, or a child imitates its parents we take all of these thi ...
... The other objection is that a computer might seem to be behaving in an intelligent manner, while it’s really just imitating behaviour. This might be true, but notice that when a parrot talks, or a horse counts, or a pet obeys our instructions, or a child imitates its parents we take all of these thi ...
General Game Playing in AI Research and Education
... with the attractive purse of $10,000), the competition quickly caught the interest of a number of researchers, the author included, from different backgrounds. Yet the idea itself, that is, to build a system that can learn to play a whole array of games, has been around for over 40 years, going back ...
... with the attractive purse of $10,000), the competition quickly caught the interest of a number of researchers, the author included, from different backgrounds. Yet the idea itself, that is, to build a system that can learn to play a whole array of games, has been around for over 40 years, going back ...
Lecture 6:Congestion and potential games 6.1 Lecture overview 6.2
... Let G =< N, (Ai ), (ui ) > be a game in strategic form and let A = ×i∈N Ai be the collection of all deterministic strategy vectors in G. Definition A function Φ: A → R is an exact potential for game G if ∀~a∈A ∀ai ,bi ∈Ai Φ(bi , a~−i ) − Φ(ai , a~−i ) = ui (bi , a~−i ) − ui (ai , a~−i ) Definition A ...
... Let G =< N, (Ai ), (ui ) > be a game in strategic form and let A = ×i∈N Ai be the collection of all deterministic strategy vectors in G. Definition A function Φ: A → R is an exact potential for game G if ∀~a∈A ∀ai ,bi ∈Ai Φ(bi , a~−i ) − Φ(ai , a~−i ) = ui (bi , a~−i ) − ui (ai , a~−i ) Definition A ...
the container stacking problem: an artificial intelligence planning
... Large container ports around the world are major hubs in the global cargo transport system. A container stack is a type of temporary store where containers await further transport by truck, train or vessel. The main efficiency problem for an individual stack is to ensure easy access to containers at ...
... Large container ports around the world are major hubs in the global cargo transport system. A container stack is a type of temporary store where containers await further transport by truck, train or vessel. The main efficiency problem for an individual stack is to ensure easy access to containers at ...
A Typology of Players: between Instinctive and Contemplative
... and experimental literature, these common characteristics constitute a mode of behavior often described by a distinct preference relation or a procedure of choice. Thus, for example, an agent is a type 1 in the k-level literature if he always maximizes his expected payoff as a best response to what ...
... and experimental literature, these common characteristics constitute a mode of behavior often described by a distinct preference relation or a procedure of choice. Thus, for example, an agent is a type 1 in the k-level literature if he always maximizes his expected payoff as a best response to what ...
K-SEC Meeting Summary March 6, 2017 Here is a summary of the
... 2. Q & A: The future of artificial intelligence by Stuart Russell, University of California, Berkeley - Kanzawa The capabilities of AI (artificial intelligence) and machine learning are accelerating, and many cyber-security tasks currently performed by humans will be automated. Is AI going to take o ...
... 2. Q & A: The future of artificial intelligence by Stuart Russell, University of California, Berkeley - Kanzawa The capabilities of AI (artificial intelligence) and machine learning are accelerating, and many cyber-security tasks currently performed by humans will be automated. Is AI going to take o ...
NECTAR: Nash Equilibrium Computation Algorithms
... It is NP-hard to determine whether there are more than one Nash equilibria. In general, computing Nash equilibrium is Polynomial Parity Argument (Directed), PPAD. Comparison with Gambit and other Tools • NECTAR is implemented in Java, which provides platform independence. Most other tools includin ...
... It is NP-hard to determine whether there are more than one Nash equilibria. In general, computing Nash equilibrium is Polynomial Parity Argument (Directed), PPAD. Comparison with Gambit and other Tools • NECTAR is implemented in Java, which provides platform independence. Most other tools includin ...
Close - Association for the Advancement of Artificial Intelligence
... Before we explore in detail the list of example games, it is worth considering whether superintelligences would choose to play games at all, and if they play games, whether they would play games with us. At least one model of a computer having fun while playing games has been presented previously (T ...
... Before we explore in detail the list of example games, it is worth considering whether superintelligences would choose to play games at all, and if they play games, whether they would play games with us. At least one model of a computer having fun while playing games has been presented previously (T ...
Introduction to Artificial Intelligence Course Goals
... Anything which can be viewed as perceiving environment through sensors, etc. and then acting in the environment Current hot buzz-word Looks like the basic computational box ...
... Anything which can be viewed as perceiving environment through sensors, etc. and then acting in the environment Current hot buzz-word Looks like the basic computational box ...