An Integrated Approach of Learning, Planning, and Execution
... used in reactive planners (Brooks, 1986), than to high-level models of the environment used by deliberative planners, such as the STRIPS representation (Fikes and Nilsson, 1971). However, we believe that for real intelligent behavior, some kind of collaboration between these two levels is needed, by ...
... used in reactive planners (Brooks, 1986), than to high-level models of the environment used by deliberative planners, such as the STRIPS representation (Fikes and Nilsson, 1971). However, we believe that for real intelligent behavior, some kind of collaboration between these two levels is needed, by ...
X - Natural Language Processing Lab., Korea University
... mechanistic terms, just as medical science seeks to understand the working of the body in mechanistic terms. Understand intelligent thought processes, ...
... mechanistic terms, just as medical science seeks to understand the working of the body in mechanistic terms. Understand intelligent thought processes, ...
FREE Sample Here - Find the cheapest test bank for your
... A. Learning and adjusting to new circumstances on their own. B. Functioning without complete or well-structured information. C. Coping with huge volumes of information with many dependent variables. D. All are features of neural networks. 11. What does examining business processes helps an organizat ...
... A. Learning and adjusting to new circumstances on their own. B. Functioning without complete or well-structured information. C. Coping with huge volumes of information with many dependent variables. D. All are features of neural networks. 11. What does examining business processes helps an organizat ...
Numeric Planning via Search Space Abstraction - CEUR
... that represent the specific numeric conditions that are needed to distinguish when actions are or are not applicable and when the goal has been reached. To achieve this we simply add a propositional fluent for each unique action precondition and goal condition in the problem. In this way, we produce ...
... that represent the specific numeric conditions that are needed to distinguish when actions are or are not applicable and when the goal has been reached. To achieve this we simply add a propositional fluent for each unique action precondition and goal condition in the problem. In this way, we produce ...
AISB/IACAP World Congress 2012 Natural Computing
... • Computational models inspired by natural systems such as neural computation, evolutionary computation, cellular automata, swarm intelligence, artificial immune systems, artificial life systems, membrane computing and amorphous computing. • Computation performed by natural materials such as bioware ...
... • Computational models inspired by natural systems such as neural computation, evolutionary computation, cellular automata, swarm intelligence, artificial immune systems, artificial life systems, membrane computing and amorphous computing. • Computation performed by natural materials such as bioware ...
AISB/IACAP World Congress 2012 Natural Computing
... • Computational models inspired by natural systems such as neural computation, evolutionary computation, cellular automata, swarm intelligence, artificial immune systems, artificial life systems, membrane computing and amorphous computing. • Computation performed by natural materials such as bioware ...
... • Computational models inspired by natural systems such as neural computation, evolutionary computation, cellular automata, swarm intelligence, artificial immune systems, artificial life systems, membrane computing and amorphous computing. • Computation performed by natural materials such as bioware ...
Constraint Programming: In Pursuit of the Holy Grail
... different domains, for example the length (number) with the word (string). The important feature of constraints is their declarative manner, i.e., they specify what relationship must hold without specifying a computational procedure to enforce that relationship. ...
... different domains, for example the length (number) with the word (string). The important feature of constraints is their declarative manner, i.e., they specify what relationship must hold without specifying a computational procedure to enforce that relationship. ...
Searching Social Networks
... The challenge of finding relevant information then reduces to finding the right people whom we may ask a specific question and who will answer that question for us. The right people are those who have the desired information or expertise. Finding them involves naturally depends on our social network ...
... The challenge of finding relevant information then reduces to finding the right people whom we may ask a specific question and who will answer that question for us. The right people are those who have the desired information or expertise. Finding them involves naturally depends on our social network ...
Towards a Programming Paradigm for Artificial Intelligence
... however the same entity may appear in different worlds with potentially different attributes and attribute values. Transition descriptions can be seen as the main source code elements in the approach and they are, similar to the data entries, subject to change during runtime. This allows for a dynam ...
... however the same entity may appear in different worlds with potentially different attributes and attribute values. Transition descriptions can be seen as the main source code elements in the approach and they are, similar to the data entries, subject to change during runtime. This allows for a dynam ...
PUFF: An Expert System for Interpretation of
... Researchers in the field of Artificial Intelligence (Al) are just beginning to produce systems that capture the specialized knowledge of experts and that use this knowledge to perform difficult tasks. Although the technology is still rather new, a small set of programs now exist as “tools” useful fo ...
... Researchers in the field of Artificial Intelligence (Al) are just beginning to produce systems that capture the specialized knowledge of experts and that use this knowledge to perform difficult tasks. Although the technology is still rather new, a small set of programs now exist as “tools” useful fo ...
Chapter 11 - Barbara Hecker
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
The knowledge level - Research Showcase @ CMU
... development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving. This was fueled, not only by technical advances, which occurred rapidly and on a broad front (Lovel ...
... development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving. This was fueled, not only by technical advances, which occurred rapidly and on a broad front (Lovel ...
The Case for Automated Planning in Autonomic Computing
... The objective of this paper is thus two-fold: • Motivate early adopters of AC, who are using procedural policies, to consider planning and goaltype policies by highlighting their potential for selfmanagement. • Foreground some of the challenges and research problems raised in adapting automated plan ...
... The objective of this paper is thus two-fold: • Motivate early adopters of AC, who are using procedural policies, to consider planning and goaltype policies by highlighting their potential for selfmanagement. • Foreground some of the challenges and research problems raised in adapting automated plan ...
Chapter 02 Strategic Decision Making
... 20. What is an artificial intelligence system that mimics the evolutionary, survival-of-thefittest process to generate increasingly better solutions to a problem? A. Intelligent system B. Artificial intelligence C. Neural network D. Genetic algorithm This is the definition of genetic algorithm. ...
... 20. What is an artificial intelligence system that mimics the evolutionary, survival-of-thefittest process to generate increasingly better solutions to a problem? A. Intelligent system B. Artificial intelligence C. Neural network D. Genetic algorithm This is the definition of genetic algorithm. ...
Anytime Planning For Agent Behaviour
... associated abstract method. This is because the majority of processing time during refinements is taken up with propagating the constraints associated with each operator. The more operators that are needed to achieve a goal, the longer the time taken to process the constraints, the higher the cost. ...
... associated abstract method. This is because the majority of processing time during refinements is taken up with propagating the constraints associated with each operator. The more operators that are needed to achieve a goal, the longer the time taken to process the constraints, the higher the cost. ...
AI PLANNING FOR TRANSPORTATION LOGISTICS
... time needed to execute it (no parallel execution is considered). Other factors, such as resource consumption, deadlines, profit, safety etc., are completely ignored. Actually, this is a consequence of using the pure STRIPS framework [7], where this kind of information cannot easily be represented. O ...
... time needed to execute it (no parallel execution is considered). Other factors, such as resource consumption, deadlines, profit, safety etc., are completely ignored. Actually, this is a consequence of using the pure STRIPS framework [7], where this kind of information cannot easily be represented. O ...
Artificial Societies of Intelligent Agents
... that are in the organism by “default”, such as breathing, heart beating, metabolizing, etc. They can be seen as implicit, internal behaviours, that are not noticed by an observer because they are always there. They do not require to be modelled, because they are “obvious1”. Reflex behaviours would b ...
... that are in the organism by “default”, such as breathing, heart beating, metabolizing, etc. They can be seen as implicit, internal behaviours, that are not noticed by an observer because they are always there. They do not require to be modelled, because they are “obvious1”. Reflex behaviours would b ...
A Survey of the Eighth National Conference on Artificial Intelligence
... The overlap between MODELS and ALGS is considerable, whereas few papers belong to these classes and belong to SYSTEMS. As shown in figure 2b, I denote as model centered the papers in MODELS, ALGS, and MODELS ∩ ALGS (104 papers in all). I refer to papers from SYSTEMS as system centered (37 papers in ...
... The overlap between MODELS and ALGS is considerable, whereas few papers belong to these classes and belong to SYSTEMS. As shown in figure 2b, I denote as model centered the papers in MODELS, ALGS, and MODELS ∩ ALGS (104 papers in all). I refer to papers from SYSTEMS as system centered (37 papers in ...
(PPT, 202KB)
... Thus, a subset of FOL can be both easier to use and more practical to implement. This was a driving motivation behind rule-based expert systems. IF-THEN rules provide a subset of FOL but a very useful one that is also very intuitive. The history of most of the early AI knowledge representation forma ...
... Thus, a subset of FOL can be both easier to use and more practical to implement. This was a driving motivation behind rule-based expert systems. IF-THEN rules provide a subset of FOL but a very useful one that is also very intuitive. The history of most of the early AI knowledge representation forma ...
Reinforcement Learning and the Reward Engineering Principle
... Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example ...
... Call this type of effort reward engineering; the reinforcement learning agent’s goal is not being changed, but the environment is being partially designed so that reward maximization leads to desirable behaviour. For most concrete cases faced today—by Mars rovers, or by financial agents, for example ...
penultimate version PDF - METU Department of Philosophy
... how to construct a formal system (e.g., machine intelligence) that deals within complex and changing conditions. The main issue behind the frame problem is to find a proper way to state the relationship between a set of rules and actions. It is not possible to find an exact definition for the frame ...
... how to construct a formal system (e.g., machine intelligence) that deals within complex and changing conditions. The main issue behind the frame problem is to find a proper way to state the relationship between a set of rules and actions. It is not possible to find an exact definition for the frame ...
ConcTheory
... produce modules which generate unambiguous outputs such as specific vectors for well defined cognitive categories. Dependence on exchange of unambiguous information between functional modules results either in memory, processing separation and sequential execution or in an inability to construct a s ...
... produce modules which generate unambiguous outputs such as specific vectors for well defined cognitive categories. Dependence on exchange of unambiguous information between functional modules results either in memory, processing separation and sequential execution or in an inability to construct a s ...
Siri, a Virtual Personal Assistant Bringing Intelligence to the Interface
... Description of tasks in natural way than in joint space. High level process don’t care about details of motion Motion range is extended incrementally – appearance of robot motion is naturally relaxed Understand DoF redundancy in movement and ...
... Description of tasks in natural way than in joint space. High level process don’t care about details of motion Motion range is extended incrementally – appearance of robot motion is naturally relaxed Understand DoF redundancy in movement and ...