Intelligent Agents. - Home ANU
... There are several basic agent architectures: reflex, reflex with state, goal-based, utility-based Learning can be added to any basic architecture and is indeed essential for satisfactory performance in many applications. Rationality requires a learning component – it is necessary to know as much abo ...
... There are several basic agent architectures: reflex, reflex with state, goal-based, utility-based Learning can be added to any basic architecture and is indeed essential for satisfactory performance in many applications. Rationality requires a learning component – it is necessary to know as much abo ...
AII and Heterogeneous Design with - ICAR
... The term "agent" has been recently applied to refer to AI constructs that enable computation on behalf of an AI activity[20,34]. It also refers to computations that take place in an autonomous and continuous fashion, while considered a high-level activity, in the sense that its definition is hardwar ...
... The term "agent" has been recently applied to refer to AI constructs that enable computation on behalf of an AI activity[20,34]. It also refers to computations that take place in an autonomous and continuous fashion, while considered a high-level activity, in the sense that its definition is hardwar ...
An Architecture for Resource Bounded Agents
... events that take place there. Second, it decides when enough time has been spent on deliberation and no further interesting results are likely to be obtained. Finally, it makes decisions to execute a particular plan from Deductor’s repertoire. The typical scenario consists of Actor continuously moni ...
... events that take place there. Second, it decides when enough time has been spent on deliberation and no further interesting results are likely to be obtained. Finally, it makes decisions to execute a particular plan from Deductor’s repertoire. The typical scenario consists of Actor continuously moni ...
How Spike Generation Mechanisms Determine the Neuronal
... This study examines the ability of neurons to track temporally varying inputs, namely by investigating how the instantaneous firing rate of a neuron is modulated by a noisy input with a small sinusoidal component with frequency ( f). Using numerical simulations of conductance-based neurons and analy ...
... This study examines the ability of neurons to track temporally varying inputs, namely by investigating how the instantaneous firing rate of a neuron is modulated by a noisy input with a small sinusoidal component with frequency ( f). Using numerical simulations of conductance-based neurons and analy ...
Modeling Toothpaste Brand Choice
... values, attitudes and psychological factors on the choice behavior turned their focus on measurable parameters like prices, purchase frequency, and average purchase size. Consequently, the effort of using behavioral data towards developing decision tools for planning marketing activities have result ...
... values, attitudes and psychological factors on the choice behavior turned their focus on measurable parameters like prices, purchase frequency, and average purchase size. Consequently, the effort of using behavioral data towards developing decision tools for planning marketing activities have result ...
McLeod_CH11
... The act of using a model is called simulation while the term scenario is used to describe the conditions that influence a simulation. ► For example, if you are simulating an inventory system, as shown in Figure 11.5, the scenario specifies the beginning balance and the daily sales units. ► Models ca ...
... The act of using a model is called simulation while the term scenario is used to describe the conditions that influence a simulation. ► For example, if you are simulating an inventory system, as shown in Figure 11.5, the scenario specifies the beginning balance and the daily sales units. ► Models ca ...
Learning the Structure of Factored Markov Decision Processes in
... Factored mdps (fmdps) first proposed by Boutilier et al. (1995) compactly represent the transition and reward functions of a problem using Dynamic Bayesian Networks (dbns). Classical solution methods (i.e. dp) have been successfully adapted to manipulate such representations (Boutilier et al., 2000) ...
... Factored mdps (fmdps) first proposed by Boutilier et al. (1995) compactly represent the transition and reward functions of a problem using Dynamic Bayesian Networks (dbns). Classical solution methods (i.e. dp) have been successfully adapted to manipulate such representations (Boutilier et al., 2000) ...
Exact Solution Counting for Artificial Intelligence based
... probabilistic inference [4–7], in planning [8, 9], etc. However, these problems are extremely difficult from a theoretical point of view in terms of complexity because they are #P-hard [10], and moreover, we can claim that they are really hard considering Toda’s theorem which shows that P H ⊆ P #P [ ...
... probabilistic inference [4–7], in planning [8, 9], etc. However, these problems are extremely difficult from a theoretical point of view in terms of complexity because they are #P-hard [10], and moreover, we can claim that they are really hard considering Toda’s theorem which shows that P H ⊆ P #P [ ...
ANN - Loughborough University Institutional Repository
... τ depends on a number of factors (e.g., applied boundary pressures, and media and fluid physical properties). However, varying these parameters to calculate τ poses very significant constraints on time and computational costs. Consequently, there is an increasing interest on the development of relia ...
... τ depends on a number of factors (e.g., applied boundary pressures, and media and fluid physical properties). However, varying these parameters to calculate τ poses very significant constraints on time and computational costs. Consequently, there is an increasing interest on the development of relia ...
IMPROVING THE PERFORMANCES OF ASYNCHRONOUS
... In the distributed constraint satisfaction area, the asynchronous weak commitment search algorithm (AWCS) [17, 18] plays a fundamental and pioneer role among algorithms for solving the distributed CSPs. The algorithm is characterized by an explosion of the nogood values, but by dynamically changing ...
... In the distributed constraint satisfaction area, the asynchronous weak commitment search algorithm (AWCS) [17, 18] plays a fundamental and pioneer role among algorithms for solving the distributed CSPs. The algorithm is characterized by an explosion of the nogood values, but by dynamically changing ...
Towards a Logic of Rational Agency
... Given these criteria, Cohen and Levesque adopt a two tiered approach to the problem of formalizing a theory of intention. First, they construct the logic of rational agency, “being careful to sort out the relationships among the basic modal operators” [14, p221]. On top of this framework, they intro ...
... Given these criteria, Cohen and Levesque adopt a two tiered approach to the problem of formalizing a theory of intention. First, they construct the logic of rational agency, “being careful to sort out the relationships among the basic modal operators” [14, p221]. On top of this framework, they intro ...
Towards a Logic of Rational Agency
... Given these criteria, Cohen and Levesque adopt a two tiered approach to the problem of formalizing a theory of intention. First, they construct the logic of rational agency, “being careful to sort out the relationships among the basic modal operators” [14, p221]. On top of this framework, they intro ...
... Given these criteria, Cohen and Levesque adopt a two tiered approach to the problem of formalizing a theory of intention. First, they construct the logic of rational agency, “being careful to sort out the relationships among the basic modal operators” [14, p221]. On top of this framework, they intro ...
Graph Theoretical Analysis of Qualitative Models in Sustainability
... Here, the event exhibits – compared to and – a notable new property, which should not be ignored. Only composed events of the first type, where events coincide which do not neccessarily have to, can be omitted. Usually, they show no special relevance to the modeler, because nothing basically new h ...
... Here, the event exhibits – compared to and – a notable new property, which should not be ignored. Only composed events of the first type, where events coincide which do not neccessarily have to, can be omitted. Usually, they show no special relevance to the modeler, because nothing basically new h ...
On-line Error Analysis Using AI techniques A first sight
... largely individualistic. It is the knowledge of good practice, good judgment, and plausible reasoning in the field. It is the knowledge that underlies the "art of good guessing." Knowledge representation formalizes and organizes the knowledge. One widely used representation is the production rule, o ...
... largely individualistic. It is the knowledge of good practice, good judgment, and plausible reasoning in the field. It is the knowledge that underlies the "art of good guessing." Knowledge representation formalizes and organizes the knowledge. One widely used representation is the production rule, o ...
Learning Action Models for Multi-Agent Planning
... might interfere with φi ’s action. Creating action models for these agents by hand is difficult and time-consuming due to the complex interactions among agents. Our objective is to explore learning algorithms that can automatically learn action models in multi-agent environments that can then be fed ...
... might interfere with φi ’s action. Creating action models for these agents by hand is difficult and time-consuming due to the complex interactions among agents. Our objective is to explore learning algorithms that can automatically learn action models in multi-agent environments that can then be fed ...
A neuronal network model of primary visual cortex explains spatial
... are suggested by experimental data (Holmgren et al. 2003). However, following the experimental data of Holmgren et al and also Beierlein et al. (2003), the model’s inhibitory-excitatory and inhibitory-inhibitory connections were not sparse at all. Specifically, each excitatory neuron is connected to ...
... are suggested by experimental data (Holmgren et al. 2003). However, following the experimental data of Holmgren et al and also Beierlein et al. (2003), the model’s inhibitory-excitatory and inhibitory-inhibitory connections were not sparse at all. Specifically, each excitatory neuron is connected to ...
Coordinating Busy Agents Using a Hybrid Clustering
... movement progressively improves the quality of the clusters. At some point, the pivot movement graph must be regenerated as previously evaluated relationships are now invalid. In an optimal solution, objects will eventually end up in their best representative cluster. The algorithm to generate an op ...
... movement progressively improves the quality of the clusters. At some point, the pivot movement graph must be regenerated as previously evaluated relationships are now invalid. In an optimal solution, objects will eventually end up in their best representative cluster. The algorithm to generate an op ...
Lecture 2 - Artificial Intelligence: Foundations of Computational Agents
... Finite stage: agent reasons about a fixed finite number of time steps Indefinite stage: agent reasons about a finite, but not predetermined, number of time steps Infinite stage: the agent plans for going on forever (process oriented) ...
... Finite stage: agent reasons about a fixed finite number of time steps Indefinite stage: agent reasons about a finite, but not predetermined, number of time steps Infinite stage: the agent plans for going on forever (process oriented) ...
Heterogeneous Suppression of Sequential Effects in Random
... [23]. However, by construction, this model was unable to account for higher-order statistics observed in behavior (see also below). Similarly, the local representativeness hypothesis [24] focuses on the first moment, computed over a small number of trials in RSG, and tends to disregard the higher or ...
... [23]. However, by construction, this model was unable to account for higher-order statistics observed in behavior (see also below). Similarly, the local representativeness hypothesis [24] focuses on the first moment, computed over a small number of trials in RSG, and tends to disregard the higher or ...
Artificial Intelligence and Decision Systems Course notes
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
pdf file
... if state property α holds for a certain time interval with duration g, then after some delay (between e and f) state property β will hold for a certain time interval of length h. Sometimes, when e=f=g=h=1, a simpler format will be used: α → → β. ...
... if state property α holds for a certain time interval with duration g, then after some delay (between e and f) state property β will hold for a certain time interval of length h. Sometimes, when e=f=g=h=1, a simpler format will be used: α → → β. ...
Co-ordination in software agent systems
... without co-operation. For example, if a person is running towards you, and you get out of his way, you have coordinated your actions with his. However, you have not entered into co-operation with him. Likewise, non-cooperation among agents does not necessarily lead to incoherent behaviour (it may ju ...
... without co-operation. For example, if a person is running towards you, and you get out of his way, you have coordinated your actions with his. However, you have not entered into co-operation with him. Likewise, non-cooperation among agents does not necessarily lead to incoherent behaviour (it may ju ...
Tim Menzies, Paul Compton Artificial Intelligence Laboratory, School
... modelled. B is a set of pairs of known inputs and outputs that represent measurements of the
entity being modelled. An explanation of is the union of the proof trees whose roots are in INi
and whose leaves are single members of OUTi.
More precisely, M is a directed, possib ...
... modelled. B is a set of pairs of known inputs and outputs
Generative Inferences Based on Learned Relations
... processing that addresses this requirement. 1.2. How can relations be learned? The first step toward explaining how relations can be used to make generative inferences is to provide an account of how relations can be acquired in the first place. Doubtless, some relations are constructed in a top-dow ...
... processing that addresses this requirement. 1.2. How can relations be learned? The first step toward explaining how relations can be used to make generative inferences is to provide an account of how relations can be acquired in the first place. Doubtless, some relations are constructed in a top-dow ...
From Certainty Factors to Belief Networks
... have had to reason under uncertainty. Although we concur with many of the observations in the article by Dan and Dudeck, we believe that the reasons for the development of the CF model must be placed in historical context, and that it is important to note that the AI research community has largely a ...
... have had to reason under uncertainty. Although we concur with many of the observations in the article by Dan and Dudeck, we believe that the reasons for the development of the CF model must be placed in historical context, and that it is important to note that the AI research community has largely a ...