Reduction Considered Harmful
... And once again, just like in grammar school, nobody can tell you where to make the separating cut, what to discard as irrelevant, or exactly what measurement or value goes where in the Model (the formula or computer program). They can't even teach you a sure-fire way to decide which Model to use, ou ...
... And once again, just like in grammar school, nobody can tell you where to make the separating cut, what to discard as irrelevant, or exactly what measurement or value goes where in the Model (the formula or computer program). They can't even teach you a sure-fire way to decide which Model to use, ou ...
Exploiting Anonymity and Homogeneity in Factored
... decision-making problems under transition uncertainty. However, solving a Dec-MDP to generate coordinated yet decentralized policies in environments with uncertainty is NEXPHard [2]. Researchers have typically employed three types of approaches to address this significant computational complexity: ( ...
... decision-making problems under transition uncertainty. However, solving a Dec-MDP to generate coordinated yet decentralized policies in environments with uncertainty is NEXPHard [2]. Researchers have typically employed three types of approaches to address this significant computational complexity: ( ...
Slide 1
... transport itself to a new machine and resume execution • Once created, a mobile agent autonomously decides which locations to visit and what instructions to perform • Continuous interaction with the agent’s originating source is not required • HOW? – Implicitly specified through the agent code – Spe ...
... transport itself to a new machine and resume execution • Once created, a mobile agent autonomously decides which locations to visit and what instructions to perform • Continuous interaction with the agent’s originating source is not required • HOW? – Implicitly specified through the agent code – Spe ...
Model-based Overlapping Clustering
... after convergence of the EM algorithm gives the probability of the point Xi being generated from the hth mixture component. In order to use the mixture model to get overlapping clustering, where a point can deterministically belong to multiple clusters, one can choose a threshold value λ such that X ...
... after convergence of the EM algorithm gives the probability of the point Xi being generated from the hth mixture component. In order to use the mixture model to get overlapping clustering, where a point can deterministically belong to multiple clusters, one can choose a threshold value λ such that X ...
How MT cells analyze the motion of visual patterns
... predictions and taking its Z-score, Zp and Zc. Component predictions are constructed by taking the linear superposition of two half-contrast grating tuning curves shifted by an amount corresponding to the plaid angle and subtracting the baseline response. For all plaid angles, the pattern prediction ...
... predictions and taking its Z-score, Zp and Zc. Component predictions are constructed by taking the linear superposition of two half-contrast grating tuning curves shifted by an amount corresponding to the plaid angle and subtracting the baseline response. For all plaid angles, the pattern prediction ...
A concise review on multi-agent teams: contributions and
... systems whose agents interact to achieve a common objective or exploit each other features to achieve self-interested goals. The concept of agent teams is quite simplistic and it does not include the whole complexity of aspects considered by the organizational psychology (OP) literature. For instanc ...
... systems whose agents interact to achieve a common objective or exploit each other features to achieve self-interested goals. The concept of agent teams is quite simplistic and it does not include the whole complexity of aspects considered by the organizational psychology (OP) literature. For instanc ...
A reinforcement learning model of joy, distress, hope and fear.
... appraisal theory (Marsella et al., 2010), computational studies show that emotionlike signals can benefit Reinforcement Learning agents (Broekens, 2007; Hogewoning, Broekens, Eggermont, & Bovenkamp, 2007; Sequeira, 2013a; Gadanho, 1999; Schweighofer & Doya, 2003; Sequeira, Melo, & Paiva, 2011; Seque ...
... appraisal theory (Marsella et al., 2010), computational studies show that emotionlike signals can benefit Reinforcement Learning agents (Broekens, 2007; Hogewoning, Broekens, Eggermont, & Bovenkamp, 2007; Sequeira, 2013a; Gadanho, 1999; Schweighofer & Doya, 2003; Sequeira, Melo, & Paiva, 2011; Seque ...
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders
... for bundle B2 ”. For this setting, Dasgupta and Maskin [2000] design an efficient auction, in which allocation is computed based on the fixed point of the vector of bids. They also show this auction can be implemented in an ex-post equilibrium, subject to the agent’s valuations satisfying single cro ...
... for bundle B2 ”. For this setting, Dasgupta and Maskin [2000] design an efficient auction, in which allocation is computed based on the fixed point of the vector of bids. They also show this auction can be implemented in an ex-post equilibrium, subject to the agent’s valuations satisfying single cro ...
Chapter 8 Multi
... lowered. In these circumstances, we would want to fire the specific rule, but not the general rule, although the condition parts of both are met. When a rule has been fired by carrying out its action part, the rule interpreter cycles round and looks again at all the rules to find which to fire next. ...
... lowered. In these circumstances, we would want to fire the specific rule, but not the general rule, although the condition parts of both are met. When a rule has been fired by carrying out its action part, the rule interpreter cycles round and looks again at all the rules to find which to fire next. ...
Integrating Language and Vision to Generate Natural Language
... uses corpus statistics to aid the description of objects and scenes. We go beyond the scope of these previous works by also selecting verbs through the integration of activity recognition from video and statistics from parsed corpora. With regard to video description, the work of Barbu et al. (2012) ...
... uses corpus statistics to aid the description of objects and scenes. We go beyond the scope of these previous works by also selecting verbs through the integration of activity recognition from video and statistics from parsed corpora. With regard to video description, the work of Barbu et al. (2012) ...
Automated Bidding Strategy Adaption using Learning Agents in
... auction. Applying this market design, a static supplier agent is chosen in an illiquid market. Several consumer agents equipped with different machine learning algorithms are instantiated. We (i) show that in liquid markets convergence in supply prices is reached. As soon as markets become illiquid ...
... auction. Applying this market design, a static supplier agent is chosen in an illiquid market. Several consumer agents equipped with different machine learning algorithms are instantiated. We (i) show that in liquid markets convergence in supply prices is reached. As soon as markets become illiquid ...
Lecture I -- Introduction and Intelligent Agent
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
Lecture I -- Introduction and Intelligent Agent
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
... Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agents, then the environment is strategic) ...
s-cheran-g-gargano
... [DEFINITION] 1.Artificial Life is the study of man-made systems that exhibit behaviors characteristic of natural living systems. 2. The goal AL is to provide biological models and also to investigate general principles of life. ...
... [DEFINITION] 1.Artificial Life is the study of man-made systems that exhibit behaviors characteristic of natural living systems. 2. The goal AL is to provide biological models and also to investigate general principles of life. ...
A Model Counting Characterization of Diagnoses
... of behavior of a component). Such a constraint in this example would be & ' \]"gj `_a_% ' \]/" . Diagnosis can become indiscriminate without fault models. It is also easy to see that the consistency-based approach can exploit fault models (when they are specified) to produce more intuitive diag ...
... of behavior of a component). Such a constraint in this example would be & ' \]"gj `_a_% ' \]/" . Diagnosis can become indiscriminate without fault models. It is also easy to see that the consistency-based approach can exploit fault models (when they are specified) to produce more intuitive diag ...
Learning from Observations
... – They’re navigati onal robots - i.e. they move around in t heir environment. (As contrasted w ith e.g. w ith manipulatory robots.) – They are tu rtles: they have a chassis w ith tw o separately controllable w heels at the front, and a pivot w heel at the back. – They have a light sensor underneath, ...
... – They’re navigati onal robots - i.e. they move around in t heir environment. (As contrasted w ith e.g. w ith manipulatory robots.) – They are tu rtles: they have a chassis w ith tw o separately controllable w heels at the front, and a pivot w heel at the back. – They have a light sensor underneath, ...
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 ...
PPT
... • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) without depending solely on build-in knowl ...
... • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) without depending solely on build-in knowl ...
PPT
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
Agents271-sq2010
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
... • Rationality is distinct from omniscience (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experi ...
Wordform- and class-based prediction of the components of
... New compounds, however, differ from other types of new/rare words in that, while they are rare, they can typically be decomposed into more common smaller units (the words that were put together to form them). For example, in the corpus we analyzed, Abend ’evening’ and Sitzung ’session’, the two comp ...
... New compounds, however, differ from other types of new/rare words in that, while they are rare, they can typically be decomposed into more common smaller units (the words that were put together to form them). For example, in the corpus we analyzed, Abend ’evening’ and Sitzung ’session’, the two comp ...
Wordform- and class-based prediction of the - clic
... New compounds, however, differ from other types of new/rare words in that, while they are rare, they can typically be decomposed into more common smaller units (the words that were put together to form them). For example, in the corpus we analyzed, Abend ’evening’ and Sitzung ’session’, the two comp ...
... New compounds, however, differ from other types of new/rare words in that, while they are rare, they can typically be decomposed into more common smaller units (the words that were put together to form them). For example, in the corpus we analyzed, Abend ’evening’ and Sitzung ’session’, the two comp ...
Adding Data Mining Support to SPARQL via Statistical
... text classification problem and applied traditional data mining algorithms, such as Naive Bayes and Support Vector Machines. Our second experiment (see Section 5.2) is similar in that it employs OWL-S service descriptions. In contrast to [6], we employ SRL algorithms such as Relational Probability T ...
... text classification problem and applied traditional data mining algorithms, such as Naive Bayes and Support Vector Machines. Our second experiment (see Section 5.2) is similar in that it employs OWL-S service descriptions. In contrast to [6], we employ SRL algorithms such as Relational Probability T ...
Learning Text Similarity with Siamese Recurrent
... The starting point for our data is a hand made proprietary job title taxonomy. This taxonomy partitions a set of 19,927 job titles into 4,431 groups. Table 1 gives some examples of the groups in the taxonomy. The job titles were manually and semiautomatically collected from résumés and vacancy pos ...
... The starting point for our data is a hand made proprietary job title taxonomy. This taxonomy partitions a set of 19,927 job titles into 4,431 groups. Table 1 gives some examples of the groups in the taxonomy. The job titles were manually and semiautomatically collected from résumés and vacancy pos ...