A Client-Server Interactive Tool for Integrated
... agent design, and machine learning techniques are introduced so that the agent can improve performance on tasks with experience. Many studies have been conducted that indicate the value of computer-based multimedia and simulation tools to learning (Clark, 1997; Graham, 1998). This is perhaps no more ...
... agent design, and machine learning techniques are introduced so that the agent can improve performance on tasks with experience. Many studies have been conducted that indicate the value of computer-based multimedia and simulation tools to learning (Clark, 1997; Graham, 1998). This is perhaps no more ...
SatPlan: Planning as Satisfiability
... time step, and the total number of time steps in guaranteed to be as small as possible. SatPlan-2006 differs from the 2004 version in that (i) mutex propagation is performed on the plan graph but only a subset of the inferred mutexes are encoded a binary clauses, and (ii) an encoding with Boolean va ...
... time step, and the total number of time steps in guaranteed to be as small as possible. SatPlan-2006 differs from the 2004 version in that (i) mutex propagation is performed on the plan graph but only a subset of the inferred mutexes are encoded a binary clauses, and (ii) an encoding with Boolean va ...
Attempts to Attribute Moral Agency to Intelligent Machines are
... Some types of research, such as certain medical or psychological experiments on humans, are considered potentially unethical because of the possibility of detrimental impact on the test subjects, treated as moral patients; such research is thus either banned or restricted by law. Experiments on anim ...
... Some types of research, such as certain medical or psychological experiments on humans, are considered potentially unethical because of the possibility of detrimental impact on the test subjects, treated as moral patients; such research is thus either banned or restricted by law. Experiments on anim ...
Knowledge Representation
... First implementation of semantic networks in machine translation Quillian’s semantic network – Influential program – Define English words in a dictionary-like, but no basic axioms – Each definition leads to other definitions in an unstructured and sometimes circular fashion – When look up a word, tr ...
... First implementation of semantic networks in machine translation Quillian’s semantic network – Influential program – Define English words in a dictionary-like, but no basic axioms – Each definition leads to other definitions in an unstructured and sometimes circular fashion – When look up a word, tr ...
Composition Games for Distributed Systems: The EU Grant Games
... of researchers materialize when they work with researchers with whom they find common grounds and like to cooperate. This scenario is similar to other cases where agents in a distributed system decompose into smaller groups. For example, the factors mentioned above seem to be present in a P2P system ...
... of researchers materialize when they work with researchers with whom they find common grounds and like to cooperate. This scenario is similar to other cases where agents in a distributed system decompose into smaller groups. For example, the factors mentioned above seem to be present in a P2P system ...
Chapter 14
... Human and Computer Capabilities Invitation to Computer Science, C++ Version, Third Edition ...
... Human and Computer Capabilities Invitation to Computer Science, C++ Version, Third Edition ...
concept of artificial intelligence in various application of robotics
... • Robots have entered dangerous areas in the remains of the WTC • Robots are used to clean ammunition and mines all around the world For the same reasons robots are sent to Mars and into the depth of the oceans. They explore sunken ships or walk the craters of active volcanoes. 4) Servants and Toys ...
... • Robots have entered dangerous areas in the remains of the WTC • Robots are used to clean ammunition and mines all around the world For the same reasons robots are sent to Mars and into the depth of the oceans. They explore sunken ships or walk the craters of active volcanoes. 4) Servants and Toys ...
csc 427: artificial intelligence - University of Agriculture, Abeokuta
... Inference is nothing but search through the knowledge base using the facts. The intensive research carried out in the area of AI in the last six decades resulted in the emergence of a number of useful techniques which can be used for solving many complex problems. ...
... Inference is nothing but search through the knowledge base using the facts. The intensive research carried out in the area of AI in the last six decades resulted in the emergence of a number of useful techniques which can be used for solving many complex problems. ...
Evaluation Functions
... Pruning a search tree is the process of eliminating, a branch of the search tree. One such example of pruning is the alpha-beta pruning, which is used in the implementation of this project. Pruning is a very good method of controlling the amount of searching is to have a limit on the depth of search ...
... Pruning a search tree is the process of eliminating, a branch of the search tree. One such example of pruning is the alpha-beta pruning, which is used in the implementation of this project. Pruning is a very good method of controlling the amount of searching is to have a limit on the depth of search ...
Artificial Intelligence Safety and Cybersecurity: a Timeline
... security, psychology and other relevant fields. It is not hard to see that the problem of making a safe and capable machine is much greater than the problem of making just a capable machine. Yet only about 1% of researchers are currently engaged in that problem with available funding levels below ev ...
... security, psychology and other relevant fields. It is not hard to see that the problem of making a safe and capable machine is much greater than the problem of making just a capable machine. Yet only about 1% of researchers are currently engaged in that problem with available funding levels below ev ...
Some relationships between evolutionary stability
... 39. Given Swinkels (1992) finding that an ESS must be REE, it is easy to see that x then must be REE according to Definition 3. Definition 39 makes clear how the REE and ESS criteria are related. Both criteria imply that for x[ A to pass the respective tests, it must be a best response against itsel ...
... 39. Given Swinkels (1992) finding that an ESS must be REE, it is easy to see that x then must be REE according to Definition 3. Definition 39 makes clear how the REE and ESS criteria are related. Both criteria imply that for x[ A to pass the respective tests, it must be a best response against itsel ...
Nash equilibrium, rational expectations, and heterogeneous beliefs
... particular kind of pooling: each type of a player cannot perfectly identify the conditional distribution over the other’s types, conditional on the action that she is taking, but she could identify this conditional distribution had she taken the other action. This is true for each type of each play ...
... particular kind of pooling: each type of a player cannot perfectly identify the conditional distribution over the other’s types, conditional on the action that she is taking, but she could identify this conditional distribution had she taken the other action. This is true for each type of each play ...
CS 430 Lecture 4
... history of everything an agent has seen (so far) is its percept sequence. An agent's behavior is described by a function that receives a percept and returns an action. In theory, this a table that maps all possible percept sequences to actions. An agent program is a concrete implementation of the ag ...
... history of everything an agent has seen (so far) is its percept sequence. An agent's behavior is described by a function that receives a percept and returns an action. In theory, this a table that maps all possible percept sequences to actions. An agent program is a concrete implementation of the ag ...
An Investigation into the Conceptual Controversies between Artificial
... Artificial intelligence (AI) is one of the oldest and best known research fields in computer science which is aimed at giving intelligence in machines. In spite of enormous effort geared towards AI, its boundary and interference to other fields are yet undefined. The controversy in AI’s boundary has ...
... Artificial intelligence (AI) is one of the oldest and best known research fields in computer science which is aimed at giving intelligence in machines. In spite of enormous effort geared towards AI, its boundary and interference to other fields are yet undefined. The controversy in AI’s boundary has ...
Making Music with AI: Some examples
... by first looking for similar, already harmonized, cases, when this fails, it looks for applicable general rules of harmony. If no rule is applicable, the system fails and backtracks to the previous decision point. The experiments have shown that the combination of rules and cases results in much few ...
... by first looking for similar, already harmonized, cases, when this fails, it looks for applicable general rules of harmony. If no rule is applicable, the system fails and backtracks to the previous decision point. The experiments have shown that the combination of rules and cases results in much few ...
PARKA: A System for Massively Parallel Knowledge Representation
... to provide extremely fast property inheritance inference capabilities. In particular, PARKA can perform fast recognition queries of the form find all frames satisfying p property constraints in O(d+p) time--proportional only to the depth, d of the knowledge base (KB), and independent of its size. Th ...
... to provide extremely fast property inheritance inference capabilities. In particular, PARKA can perform fast recognition queries of the form find all frames satisfying p property constraints in O(d+p) time--proportional only to the depth, d of the knowledge base (KB), and independent of its size. Th ...
lecture slides 1
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
... Can Computers Learn and Adapt ? • Learning and Adaptation – consider a computer learning to drive on the freeway – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g. ...
