A Similarity Evaluation Technique for Cooperative Problem
... Department of Computer Science and Information Systems ...
... Department of Computer Science and Information Systems ...
View PDF - Advances in Cognitive Systems
... Although such agents produce intelligent behavior with less human knowledge engineering than before, there remains a non-trivial element of knowledge engineering in the encoding of the prior domain knowledge. Such prior knowledge includes encoding how to extract a coefficient from an expression, how ...
... Although such agents produce intelligent behavior with less human knowledge engineering than before, there remains a non-trivial element of knowledge engineering in the encoding of the prior domain knowledge. Such prior knowledge includes encoding how to extract a coefficient from an expression, how ...
myworld: an agent-oriented testbed for distributed artificial intelligence
... Shoham chooses just two modalities: belief (with a semantics defined via possible worlds, in the standard modal logical sense), and ‘commitment’, (with a semantics also defined via possible worlds) [17]. However, other authors have argued for different modalities: Cohen and Levesque suggest that bel ...
... Shoham chooses just two modalities: belief (with a semantics defined via possible worlds, in the standard modal logical sense), and ‘commitment’, (with a semantics also defined via possible worlds) [17]. However, other authors have argued for different modalities: Cohen and Levesque suggest that bel ...
Cognitive Psychology
... blindness(Mack and Rock, 1998). In the dichotic listening task, subjects are bombarded with two different messages, one in each ear, and told to focus on only one of the messages. At the end of the experiment, when asked about the content of the unattended message, subjects cannot report it. [edit]K ...
... blindness(Mack and Rock, 1998). In the dichotic listening task, subjects are bombarded with two different messages, one in each ear, and told to focus on only one of the messages. At the end of the experiment, when asked about the content of the unattended message, subjects cannot report it. [edit]K ...
Knowledge Request-Broker Architecture: A Platform for
... Agents are like apps, i.e. small applications, they can be device drivers, controllers, GUIs, and so on. Thinking of agents as components of a program, unlike conventional objects, the way these agents form an integrated solution is not hard-coded, but is done by having them engaged in knowledge exc ...
... Agents are like apps, i.e. small applications, they can be device drivers, controllers, GUIs, and so on. Thinking of agents as components of a program, unlike conventional objects, the way these agents form an integrated solution is not hard-coded, but is done by having them engaged in knowledge exc ...
Sistem Pendukung Keputusan
... Explanation Capability An ES has to explain how the ES has arrived at a particular recommendation. ...
... Explanation Capability An ES has to explain how the ES has arrived at a particular recommendation. ...
Artificial Intelligence
... • Rational Agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built‐in knowledge the agent has. ...
... • Rational Agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built‐in knowledge the agent has. ...
Towards the Theory-Guided Design of Help
... information is only to be supplied on request by the learner. This principle is somewhat opposed to the principle of immediate feedback [3, 5]. But it is implied by the theory, and we think that it is important to let the learner develop her /his own solution ideas even if they seem strange from an ...
... information is only to be supplied on request by the learner. This principle is somewhat opposed to the principle of immediate feedback [3, 5]. But it is implied by the theory, and we think that it is important to let the learner develop her /his own solution ideas even if they seem strange from an ...
Learning to Evaluate Conditional Partial Plans
... Abstract. We study agents situated in partially observable environments, who do not have sufficient resources to create conformant (complete) plans. Instead, they create plans which are conditional and partial, execute or simulate them, and learn from experience to evaluate their quality. Our agent ...
... Abstract. We study agents situated in partially observable environments, who do not have sufficient resources to create conformant (complete) plans. Instead, they create plans which are conditional and partial, execute or simulate them, and learn from experience to evaluate their quality. Our agent ...
CS 561: Artificial Intelligence
... all or part of someone else's work (by hand or by looking at others' files, either secretly or if shown), and submitting it as your own; giving another student in the class a copy of your assignment solution; and consulting with another student during an exam. If you have questions about what is all ...
... all or part of someone else's work (by hand or by looking at others' files, either secretly or if shown), and submitting it as your own; giving another student in the class a copy of your assignment solution; and consulting with another student during an exam. If you have questions about what is all ...
Agent oriented programming: An overview of the framework and
... versions of mental state, and in particular formal versions of beliefs, capabilities, choices, commitments, and possibly a few other mentalistic-sounding qualities. What will make any hardware or software component an agent is precisely the fact that one has chosen to analyze and control it in these ...
... versions of mental state, and in particular formal versions of beliefs, capabilities, choices, commitments, and possibly a few other mentalistic-sounding qualities. What will make any hardware or software component an agent is precisely the fact that one has chosen to analyze and control it in these ...
Lecture Notes in Computer Science
... they are addressing or the task they are designed to carry out. Within the society however, all agents generally present a standard interface to each-other which masks the differences between the algorithms neatly encapsulated inside the agent. The popularity of this model in artificial intelligence ...
... they are addressing or the task they are designed to carry out. Within the society however, all agents generally present a standard interface to each-other which masks the differences between the algorithms neatly encapsulated inside the agent. The popularity of this model in artificial intelligence ...
Multi-Agent Systems
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
Using TEAMCORE to Make Agents Team-Ready
... where relevance is determined based on the current joint goal being performed. 4. Enable agents to reason about selective communication with others, where selectivity is determined via a decisiontheoretic reasoning component. In previous work, we have shown applications of an earlier version of this ...
... where relevance is determined based on the current joint goal being performed. 4. Enable agents to reason about selective communication with others, where selectivity is determined via a decisiontheoretic reasoning component. In previous work, we have shown applications of an earlier version of this ...
COMP219 Lec3 agents - Computer Science Intranet
... Utility-based agents: make use of a utility function to compare the ‘desirability’ of different states that result from actions ◦ Many actions may satisfy a goal, but which is the most desirable? ◦ Utility function maps a state, or sequence of states, onto a real number to give the degree of ‘useful ...
... Utility-based agents: make use of a utility function to compare the ‘desirability’ of different states that result from actions ◦ Many actions may satisfy a goal, but which is the most desirable? ◦ Utility function maps a state, or sequence of states, onto a real number to give the degree of ‘useful ...
agent function
... • The agent program: a concrete implementation – The agent program runs on the physical architecture to implement f ...
... • The agent program: a concrete implementation – The agent program runs on the physical architecture to implement f ...
Class Overview and Intro to AI
... • Encode “internal state” of the world to remember the past as contained in earlier percepts. • Needed because sensors do not usually give the entire state of the world at each input, so perception of the environment is captured over time. “State” is used to encode different "world states" that gene ...
... • Encode “internal state” of the world to remember the past as contained in earlier percepts. • Needed because sensors do not usually give the entire state of the world at each input, so perception of the environment is captured over time. “State” is used to encode different "world states" that gene ...
original - Kansas State University
... Goal state may not be reachable in one action Assume limited access effects of actions known may or may not have sensors ...
... Goal state may not be reachable in one action Assume limited access effects of actions known may or may not have sensors ...
Utility Functions
... have the ability to communicate and collaborate with each other. Learning multi-agent systems can be developed, for example to control the individual limbs of a robot. An agent team is a group of agents that cooperate to achieve some common goal – such as arranging the various components of a trip: ...
... have the ability to communicate and collaborate with each other. Learning multi-agent systems can be developed, for example to control the individual limbs of a robot. An agent team is a group of agents that cooperate to achieve some common goal – such as arranging the various components of a trip: ...
Read paper The big issues
... logical reasoning or explicit representation of domain knowledge. It is well known that not all skills that require intelligent control require an explicit knowledge base. So it is a further thesis that declarative knowledge and logical inference are actually deployed in most cognitive skills. In su ...
... logical reasoning or explicit representation of domain knowledge. It is well known that not all skills that require intelligent control require an explicit knowledge base. So it is a further thesis that declarative knowledge and logical inference are actually deployed in most cognitive skills. In su ...
agent
... an agent must be capable of reacting appropriately to influences or information from its environment. autonomy: an agent must have both control over its actions and internal states. The degree of the agent’s autonomy can be specified. There may need intervention from the user only for important deci ...
... an agent must be capable of reacting appropriately to influences or information from its environment. autonomy: an agent must have both control over its actions and internal states. The degree of the agent’s autonomy can be specified. There may need intervention from the user only for important deci ...
SCM Sweb
... 2) Algorithms (step-by-step procedures to operate on those structures). For instance, a procedure may “reverse” the order of elements in a list. ...
... 2) Algorithms (step-by-step procedures to operate on those structures). For instance, a procedure may “reverse” the order of elements in a list. ...
Information Consolidation Theory
... One theory of the function of sleep and dreams from an information processing perspective is the information consolidation theory of sleep, which is based on cognitive research. You may have heard of this theory, which suggests that the function of sleep is to process information that has been acqui ...
... One theory of the function of sleep and dreams from an information processing perspective is the information consolidation theory of sleep, which is based on cognitive research. You may have heard of this theory, which suggests that the function of sleep is to process information that has been acqui ...
View PDF - Advances in Cognitive Systems
... behave precisely as commanded, and even if they do, external factors in the environment like the terrain or other agents make the outcome of an action unpredictable. These realisations gave rise to probabilistic robotics (Thrun et al., 2005). In recent years, probabilistic approaches have dominated ...
... behave precisely as commanded, and even if they do, external factors in the environment like the terrain or other agents make the outcome of an action unpredictable. These realisations gave rise to probabilistic robotics (Thrun et al., 2005). In recent years, probabilistic approaches have dominated ...
Soar (cognitive architecture)
Soar is a cognitive architecture, created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University, now maintained by John Laird's research group at the University of Michigan. It is both a view of what cognition is and an implementation of that view through a computer programming architecture for artificial intelligence (AI). Since its beginnings in 1983 and its presentation in a paper in 1987, it has been widely used by AI researchers to model different aspects of human behavior.