Final Course Review
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
... • Unlike search techniques, means-ends analysis can select an action even if it is not possible in the current state. • If a planner selects an action that results in the goal state, but is not currently possible, then it will be set as a new goal the conditions necessary for carrying put that actio ...
Unit 1: Introduction to Artificial Intelligence
... (Nature, 2004) Is this natural or artificial? ...
... (Nature, 2004) Is this natural or artificial? ...
Evolving a Roving Eye for Go - Neural Network Research Group
... cannot be captured because it is not possible to fill both eyes at once. The ko rule, which forbids the same board state from occurring twice, ensures that the game progresses to a conclusion. The rules of Go are deceptively simple. Yet unlike in many other board games, such as Othello and chess, ma ...
... cannot be captured because it is not possible to fill both eyes at once. The ko rule, which forbids the same board state from occurring twice, ensures that the game progresses to a conclusion. The rules of Go are deceptively simple. Yet unlike in many other board games, such as Othello and chess, ma ...
Blackwell Guide to the Philosophy of Computing and
... distributed networks of relatively simple low-level “agents” that simultaneously interact with each other. Each agent’s decisions is based on information about only its own local situation, and its decisions directly affect only its own local situation. One way to understand the global behavior of t ...
... distributed networks of relatively simple low-level “agents” that simultaneously interact with each other. Each agent’s decisions is based on information about only its own local situation, and its decisions directly affect only its own local situation. One way to understand the global behavior of t ...
A General Reading List for Artificial Intelligence
... Much of the early work in search (and AI) was done in the context of game playing programs. Chess has posed particularly challenging problems here. Berliner’s paper proposes the I3* algorithm for searching game and proof trees. The main idea in this algorithm is the use of two bounds to rut off sear ...
... Much of the early work in search (and AI) was done in the context of game playing programs. Chess has posed particularly challenging problems here. Berliner’s paper proposes the I3* algorithm for searching game and proof trees. The main idea in this algorithm is the use of two bounds to rut off sear ...
A comprehensive survey of multi
... action uk , the environment changes state from xk to some xk+1 ∈ X according to the state transition probabilities given by f : the probability of ending up in xk+1 given that uk is executed in xk is f (xk , uk , xk+1 ). The agent receives a scalar reward rk+1 ∈ R, according to the reward function ρ ...
... action uk , the environment changes state from xk to some xk+1 ∈ X according to the state transition probabilities given by f : the probability of ending up in xk+1 given that uk is executed in xk is f (xk , uk , xk+1 ). The agent receives a scalar reward rk+1 ∈ R, according to the reward function ρ ...
Peering Equilibrium Multipath Routing: A Game Theory Framework
... (see, e.g., [3]). Multipath interdomain routing is, to our knowledge, still an open issue (and a target for future Internet architectures). However, some limited solutions based on the Border Gateway Protocol (BGP) have been introduced, at least with some vendor’s routers (see, e.g., [4] and [5]). M ...
... (see, e.g., [3]). Multipath interdomain routing is, to our knowledge, still an open issue (and a target for future Internet architectures). However, some limited solutions based on the Border Gateway Protocol (BGP) have been introduced, at least with some vendor’s routers (see, e.g., [4] and [5]). M ...
Will machines outsmart man
... Intelligence would be different. Some discussions of the Singularity suppose that the critical moment in history is not when human-equivalent AI first comes into existence but a few years later when the continued grinding of Moore's Law produces AI minds twice or four times as fast as human. This ig ...
... Intelligence would be different. Some discussions of the Singularity suppose that the critical moment in history is not when human-equivalent AI first comes into existence but a few years later when the continued grinding of Moore's Law produces AI minds twice or four times as fast as human. This ig ...
Artificial intelligence
... The problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. The traits described below have received the most attention.[10] Deductio ...
... The problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display. The traits described below have received the most attention.[10] Deductio ...
The Hex game and its mathematical side
... Ω ... the set of all possible configurations of stones in the game. ΩR ... the set of the configurations "Red’s turn" ΩB ... the set of the configurations "Blue’s turn" o ... the configuration "empty board" • We then have Ω = ΩR ∪ ΩB and o ∈ ΩR . • We denote τ ∈ succ(ω) for ω, τ ∈ Ω such that one ca ...
... Ω ... the set of all possible configurations of stones in the game. ΩR ... the set of the configurations "Red’s turn" ΩB ... the set of the configurations "Blue’s turn" o ... the configuration "empty board" • We then have Ω = ΩR ∪ ΩB and o ∈ ΩR . • We denote τ ∈ succ(ω) for ω, τ ∈ Ω such that one ca ...
A Monte-Carlo Approach for Ghost Avoidance in the Ms. Pac
... competition; computational intelligence ...
... competition; computational intelligence ...
Modeling infinitely many agents
... agent space and the characteristic type space are restricted to such a collection, the former contains the latter strictly in terms of measure spaces. We will demonstrate that the nowhere equivalence condition can be used to handle the shortcoming of the Lebesgue unit interval, especially for the th ...
... agent space and the characteristic type space are restricted to such a collection, the former contains the latter strictly in terms of measure spaces. We will demonstrate that the nowhere equivalence condition can be used to handle the shortcoming of the Lebesgue unit interval, especially for the th ...
On extensive form implementation of contracts in differential
... without free disposal. To our surprise, as it was not intuitively obvious, we found that solution concepts which are Bayesian incentive compatible without free disposal, do not retain this property under free disposal. In particular, not only free disposal destroys incentive compatibility but a prob ...
... without free disposal. To our surprise, as it was not intuitively obvious, we found that solution concepts which are Bayesian incentive compatible without free disposal, do not retain this property under free disposal. In particular, not only free disposal destroys incentive compatibility but a prob ...
Overdetermined causation cases, contribution and the Shapley value
... "cumulative sources of harm"23. These categories may refer to different hypothesis, scenarios and cases24. But, they share a common property which is that one or several tortfeasors will not be considered as a cause under the but-for-test because their tortious act is not necessary (i.e. even if the ...
... "cumulative sources of harm"23. These categories may refer to different hypothesis, scenarios and cases24. But, they share a common property which is that one or several tortfeasors will not be considered as a cause under the but-for-test because their tortious act is not necessary (i.e. even if the ...
On Convergence and Optimality of Best
... and a latent distribution over these policies, and that a domain expert can provide informed guesses as to what the policies might be. (These guesses could also be generated automatically, e.g. using some machine learning method on a corpus of historical data.) One algorithm that takes this approach ...
... and a latent distribution over these policies, and that a domain expert can provide informed guesses as to what the policies might be. (These guesses could also be generated automatically, e.g. using some machine learning method on a corpus of historical data.) One algorithm that takes this approach ...
Problem Solving and Search
... The Expand function creates new nodes, filling in various fields and using Operators (or SucessorFn) of the problem to create the corresponding states Foundations of Artificial Intelligence ...
... The Expand function creates new nodes, filling in various fields and using Operators (or SucessorFn) of the problem to create the corresponding states Foundations of Artificial Intelligence ...
AAAI News - Association for the Advancement of Artificial Intelligence
... Newell Award. The ACM/AAAI Allen Newell Award is presented annually to an individual(s) whose career contributions display breadth within computer science, or bridge computer science and other disciplines. The award is sponsored by AAAI and ACM. This year the Allen Newell Award is given to two compu ...
... Newell Award. The ACM/AAAI Allen Newell Award is presented annually to an individual(s) whose career contributions display breadth within computer science, or bridge computer science and other disciplines. The award is sponsored by AAAI and ACM. This year the Allen Newell Award is given to two compu ...