Autonomy: A Nice Idea in Theory
... For all the difficulty in pinning down autonomy, it is in our view key to understanding the nature and behaviour both of individual agents, and of interactions between them. In a series of papers, we have described and formally specified an extended theory of agent interaction, based on goals and mo ...
... For all the difficulty in pinning down autonomy, it is in our view key to understanding the nature and behaviour both of individual agents, and of interactions between them. In a series of papers, we have described and formally specified an extended theory of agent interaction, based on goals and mo ...
GWAS for quantitative traits
... Random mating and recombination eventually changes gamete frequencies so that they are in linkage equilibrium (LE). Once in LE, gamete frequencies do not change (unless acted on by other forces) At LE, alleles in gametes are independent of each other: ...
... Random mating and recombination eventually changes gamete frequencies so that they are in linkage equilibrium (LE). Once in LE, gamete frequencies do not change (unless acted on by other forces) At LE, alleles in gametes are independent of each other: ...
Approximate Solutions of Interactive Dynamic Influence Diagrams
... 2.2 Behavioral Equivalence and Solution Although the space of possible models is very large, not all models need to be considered in the model node. Models that are behaviorally equivalent (Pynadath & Marsella 2007; Rathnas., Doshi, & Gmytrasiewicz 2006) – whose behavioral predictions for the other ...
... 2.2 Behavioral Equivalence and Solution Although the space of possible models is very large, not all models need to be considered in the model node. Models that are behaviorally equivalent (Pynadath & Marsella 2007; Rathnas., Doshi, & Gmytrasiewicz 2006) – whose behavioral predictions for the other ...
Use of Artificial Intelligence in Real Property Valuation
... determine ANN structures and key variables would lead to superior results particularly when using large data sets. It is observed that optimal AI models depend upon specific data sets and variables involved. Large data set augments the performance of the model. Also, selection of variables is of par ...
... determine ANN structures and key variables would lead to superior results particularly when using large data sets. It is observed that optimal AI models depend upon specific data sets and variables involved. Large data set augments the performance of the model. Also, selection of variables is of par ...
Modeling the spinal cord neural circuitry controlling cat hindlimb
... (-MN), actuating the controlled muscle, and several interneurons, including a Renshaw cell and Ia and Ib interneurons (Fig. 2a). Ia and Ib interneurons were included to mediate proprioceptive feedback from of Ia and Ib aKerens, respectively (Fig. 2b). All neurons were modeled in the Hodgkin–Huxley ...
... (-MN), actuating the controlled muscle, and several interneurons, including a Renshaw cell and Ia and Ib interneurons (Fig. 2a). Ia and Ib interneurons were included to mediate proprioceptive feedback from of Ia and Ib aKerens, respectively (Fig. 2b). All neurons were modeled in the Hodgkin–Huxley ...
Artificial Intelligence techniques: An introduction to their use for
... Rule-based systems (RBS) solve problems by rules derived from expert knowledge [74]. The rules have condition and action parts, if and then and are fed to an inference engine, which has a working memory of information about the problem, a pattern matcher and a rule applier. The pattern matcher refer ...
... Rule-based systems (RBS) solve problems by rules derived from expert knowledge [74]. The rules have condition and action parts, if and then and are fed to an inference engine, which has a working memory of information about the problem, a pattern matcher and a rule applier. The pattern matcher refer ...
Component-based Modeling of Dynamic Systems using
... other subsystems is called Component Assembly in CyPhyML. Component Assemblies have the same interfaces as components. There are two key differences between components and component assemblies: (i) Component assemblies can contain other components and other component assemblies; (ii) behavior of com ...
... other subsystems is called Component Assembly in CyPhyML. Component Assemblies have the same interfaces as components. There are two key differences between components and component assemblies: (i) Component assemblies can contain other components and other component assemblies; (ii) behavior of com ...
Improving DCNN Performance with Sparse Category
... verification and can not be used for the more generic image classification task. While in this paper, we propose an enhancing objective function which can be used for the classification task when combined with a conventional cost function, e.g. the K-L divergence with the softmax activation. Specifi ...
... verification and can not be used for the more generic image classification task. While in this paper, we propose an enhancing objective function which can be used for the classification task when combined with a conventional cost function, e.g. the K-L divergence with the softmax activation. Specifi ...
A New Platform for Developing Virtual Organizations of Agents
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
... emerged in response to this idea; they include a set of agents with roles and norms that determine their behaviour, and represent a place where these new capabilities will assume a critical role. Possible organizational topologies and aspects such as communication and coordination mechanisms determi ...
Agent-based Abstractions for Verifying Alternating
... in these rich formal languages. This endeavour is problematic as the typical verification problems for several of these formalisms, including model checking, are computationally harder than those for the temporal logics (e.g., CTL, LTL) that they subsume [15, 35]. Related to formal verification, a c ...
... in these rich formal languages. This endeavour is problematic as the typical verification problems for several of these formalisms, including model checking, are computationally harder than those for the temporal logics (e.g., CTL, LTL) that they subsume [15, 35]. Related to formal verification, a c ...
A Similarity Evaluation Technique for Cooperative Problem
... support of each binary similarity relation. This can be used, for example, to derive the most supported solution and to evaluate the agents according to their competence We also discussed relations between elements taken from the same set: problems, solutions, or agents. This can be used, for exam ...
... support of each binary similarity relation. This can be used, for example, to derive the most supported solution and to evaluate the agents according to their competence We also discussed relations between elements taken from the same set: problems, solutions, or agents. This can be used, for exam ...
The Learning Intelligent Distribution Agent (LIDA)
... consciousness, deliberation, action selection, and learning. The computational model serves as a virtual machine coupling the mind to its physical substrate, and provides a high-level specification of the structure and dynamics of cognitive content. Together these two seek to give a complete substra ...
... consciousness, deliberation, action selection, and learning. The computational model serves as a virtual machine coupling the mind to its physical substrate, and provides a high-level specification of the structure and dynamics of cognitive content. Together these two seek to give a complete substra ...
Modeling Human Communication Dynamics
... perception; knowledge about the varying the detection threshold. For a fixed false positive speakers and listeners, specifically current topic and expectations rate of 0.0409 (operating point), the context-based examining a person’s backchannel from previous utterances help approach improves head no ...
... perception; knowledge about the varying the detection threshold. For a fixed false positive speakers and listeners, specifically current topic and expectations rate of 0.0409 (operating point), the context-based examining a person’s backchannel from previous utterances help approach improves head no ...
Problem - Cognitive Tutor Authoring Tools
... The first step in building a cognitive model is to understand what the task is that the humans are trying to solve. The Cognitive Task Analysis methodology is a useful place to start. In order to do the task analysis we need an interface in which the human can perform the task. Though cognitive task ...
... The first step in building a cognitive model is to understand what the task is that the humans are trying to solve. The Cognitive Task Analysis methodology is a useful place to start. In order to do the task analysis we need an interface in which the human can perform the task. Though cognitive task ...
- ePrints Soton
... Elsewhere we have argued that the notion of an agent as a self-contained problem-solving system capable of autonomous, reactive, proactive, social behavior represents yet another tool for the software engineer.1,2 We believe this tool can lead to improvements in engineering certain types of complex ...
... Elsewhere we have argued that the notion of an agent as a self-contained problem-solving system capable of autonomous, reactive, proactive, social behavior represents yet another tool for the software engineer.1,2 We believe this tool can lead to improvements in engineering certain types of complex ...
Document
... Answers and Issues • Here, to compute probability of observed – Just add up all the state sequence probabilities ...
... Answers and Issues • Here, to compute probability of observed – Just add up all the state sequence probabilities ...
Lecture_1 - Recherche : Service web
... “Interesting Agent = a hardware or software-based computer system that enjoys the following properties: ...
... “Interesting Agent = a hardware or software-based computer system that enjoys the following properties: ...
Artificial Intelligence Intelligent Autonomous Agents 1
... agent's sensors give it access to the complete state of the environment at each point in time. Deterministic (vs. stochastic): The next state of the environment is completely determined by the current g ((If the state and the action executed byy the agent. environment is deterministic except for t ...
... agent's sensors give it access to the complete state of the environment at each point in time. Deterministic (vs. stochastic): The next state of the environment is completely determined by the current g ((If the state and the action executed byy the agent. environment is deterministic except for t ...
CAD/CAPP/CAM INTEGRATION METHODOLOGY FOR THE
... for building CAD/CAPP/CAM environments of the future (Lee et al., 1999), and they can be considered as potential candidates to support the development of integrated systems. This is a new paradigm for computer systems based on a global environment, network-centered and spatially distributed. This wi ...
... for building CAD/CAPP/CAM environments of the future (Lee et al., 1999), and they can be considered as potential candidates to support the development of integrated systems. This is a new paradigm for computer systems based on a global environment, network-centered and spatially distributed. This wi ...
Advanced Graphics Computer Animation
... One Quick, but better Action suboptimal coordination Slower and Slowest but All replanning complete Actions required and optimal ...
... One Quick, but better Action suboptimal coordination Slower and Slowest but All replanning complete Actions required and optimal ...
Development Framework for Qualitative Spatial and Temporal Reasoning Systems
... are: • reasoning: used to infer information about incomplete models • querying: used to isolate interesting fragments of models The developer must then characterise the behaviour of their system by using the problem solving automaton (refer to the section “Problem Solving Process”), as this greatly ...
... are: • reasoning: used to infer information about incomplete models • querying: used to isolate interesting fragments of models The developer must then characterise the behaviour of their system by using the problem solving automaton (refer to the section “Problem Solving Process”), as this greatly ...
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. ...
A differentiable approach to inductive logic programming
... To learn to induce logic rules about a specific relation R, we let the database consists of facts about the other relations for both train and test sets. During training, we ask the model to answer queries about the relation R using facts in the database. The loss is the mean squared error between t ...
... To learn to induce logic rules about a specific relation R, we let the database consists of facts about the other relations for both train and test sets. During training, we ask the model to answer queries about the relation R using facts in the database. The loss is the mean squared error between t ...
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 ...
ai-lect2
... • (degree of) Autonomy: to what extent is the agent able to make decisions and actions on its own? ...
... • (degree of) Autonomy: to what extent is the agent able to make decisions and actions on its own? ...