A neurocomputational model of the mammalian fear
... their functions [37]. It is a particularly interesting case study because of how well linked it is to learning and memory; fearful experiences have a strong effect on an animal’s future behaviour [37]. This link provides a potential avenue of investigation into how low-level reward and punishment sys ...
... their functions [37]. It is a particularly interesting case study because of how well linked it is to learning and memory; fearful experiences have a strong effect on an animal’s future behaviour [37]. This link provides a potential avenue of investigation into how low-level reward and punishment sys ...
A Probabilistic Model of Lexical and Syntactic DANIEL JURAFSKY
... are represented as a uniform collection of grammatical constructions. Construction grammar is a sign-based theory, like HPSG (Pollard & Sag, 1987), in which each construction represents well-formedness conditions across various domains of linguistic knowledge, including phonological, morphological, ...
... are represented as a uniform collection of grammatical constructions. Construction grammar is a sign-based theory, like HPSG (Pollard & Sag, 1987), in which each construction represents well-formedness conditions across various domains of linguistic knowledge, including phonological, morphological, ...
Chapter 2 Intelligent Agents
... is more flexible because the knowledge that supports its decision is represented explicitly and can be modified • On the other hand, for the reflex-agent, we would have to rewrite many condition-action rules • The goal based agent's behavior can easily be changed • The reflex agent's rules must be c ...
... is more flexible because the knowledge that supports its decision is represented explicitly and can be modified • On the other hand, for the reflex-agent, we would have to rewrite many condition-action rules • The goal based agent's behavior can easily be changed • The reflex agent's rules must be c ...
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing
... certainty over all variables of the model. We show how the approach can detect and correct task-dependent worker bias so that accurate task labels can be accurately inferred from worker annotations. The methods can be used to infer the relationships among task features, workers’ biases, annotations ...
... certainty over all variables of the model. We show how the approach can detect and correct task-dependent worker bias so that accurate task labels can be accurately inferred from worker annotations. The methods can be used to infer the relationships among task features, workers’ biases, annotations ...
Learning Vector Representations for Sentences
... subscripts show the role labels with respect to the predicate “sold”. Reproduced from Cohn and Blunsom [2005]. . . . . . . . . . . . . . Example of different orders of context of “diversified”. The blue dotted shape corresponds to the third-order outward context, while the red dashed shape correspon ...
... subscripts show the role labels with respect to the predicate “sold”. Reproduced from Cohn and Blunsom [2005]. . . . . . . . . . . . . . Example of different orders of context of “diversified”. The blue dotted shape corresponds to the third-order outward context, while the red dashed shape correspon ...
Solving Complex Logistics Problems with Multi
... from their context. Huin et al. developed a knowledgebased tool for planning enterprise resources. CBR technique is employed to formulate potential solutions to derive the planning model from previous similar cases by assessing complex trade-offs among various qualitative factors, and by using past ...
... from their context. Huin et al. developed a knowledgebased tool for planning enterprise resources. CBR technique is employed to formulate potential solutions to derive the planning model from previous similar cases by assessing complex trade-offs among various qualitative factors, and by using past ...
Augmenting Bottom-Up Metamodels with Predicates
... Regression analysis estimates the relationship between an output of the ABM and one or more input variables. The structure of the model is determined by minimizing the variance between the model and the data by using as few variables as possible. In this paper, we focus on creating bottom-up metamod ...
... Regression analysis estimates the relationship between an output of the ABM and one or more input variables. The structure of the model is determined by minimizing the variance between the model and the data by using as few variables as possible. In this paper, we focus on creating bottom-up metamod ...
Probabilistic Latent Variable Model for Sparse
... equations are similar to NMF update equations as we shall point out in Section V. III. S PARSITY IN THE L ATENT VARIABLE M ODEL Sparse coding refers to a representational scheme where, of a set of components that may be combined to compose data, only a small number are combined to represent any part ...
... equations are similar to NMF update equations as we shall point out in Section V. III. S PARSITY IN THE L ATENT VARIABLE M ODEL Sparse coding refers to a representational scheme where, of a set of components that may be combined to compose data, only a small number are combined to represent any part ...
Constraint Based Reasoning over Mutex Relations in Graphplan
... effects+(a)∩effects-(a)=Ø holds. Semantically the action determines how the state can be changed (the change is specified by effects(a)) provided that the state allow the use of the action (the allowance is specified by precond(a)). Definition 3 (Applicability). An action a is applicable to the stat ...
... effects+(a)∩effects-(a)=Ø holds. Semantically the action determines how the state can be changed (the change is specified by effects(a)) provided that the state allow the use of the action (the allowance is specified by precond(a)). Definition 3 (Applicability). An action a is applicable to the stat ...
Part 2 - Simon Fraser University
... 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. If carrying samples and not at the base then drop 2 crumbs and follow the radio signal 4. If detect a sample then pick sample up 5. If sense crumbs then pick up 1 crumb and travel down ...
... 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. If carrying samples and not at the base then drop 2 crumbs and follow the radio signal 4. If detect a sample then pick sample up 5. If sense crumbs then pick up 1 crumb and travel down ...
Piagetian Autonomous Modeler
... does not address attention, curiosity, motivation, drives, beliefs, desires or intentions. This omission was made in order to limit architectural concerns in the initial design of the system. These phenomena may be revisited in later phases as the PAM system evolves. ...
... does not address attention, curiosity, motivation, drives, beliefs, desires or intentions. This omission was made in order to limit architectural concerns in the initial design of the system. These phenomena may be revisited in later phases as the PAM system evolves. ...
AAAI Proceedings Template
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
View - Association for Computational Creativity
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
... commonly used test of intelligence. The literature suggests a variety of problem-solving methods for addressing RPM problems. For a graduate-level artificial intelligence class in Fall 2014, we asked students to develop intelligent agents that could address 123 RPM-inspired problems, essentially cro ...
Searching Social Networks
... Finding relevant information is a longstanding problem in computing. Conventional approaches such as databases, information retrieval systems, and Web search engines partially address this problem. Often, however, the most valuable information is not widely available and may not even be indexed or c ...
... Finding relevant information is a longstanding problem in computing. Conventional approaches such as databases, information retrieval systems, and Web search engines partially address this problem. Often, however, the most valuable information is not widely available and may not even be indexed or c ...
Ability in a multi-agent context: a model in the situation
... according to the first approach. Primitive concepts are the agent’s knowledge, its capacity to perform an action, the effects of an action and the opportunity associated with an action. Ability and opportunity are two intertwined notions, we will come back on it later. Concerning the second approach ...
... according to the first approach. Primitive concepts are the agent’s knowledge, its capacity to perform an action, the effects of an action and the opportunity associated with an action. Ability and opportunity are two intertwined notions, we will come back on it later. Concerning the second approach ...
The Quantitative Analysis Approach
... • May be expensive and timeconsuming to develop and test • Are often misused and ...
... • May be expensive and timeconsuming to develop and test • Are often misused and ...
A Future for Agent Programming
... rather than a lack of intelligent agent[s]”. In addition, they note that some applications used more than one platform, and for some applications the information was not available, so the number of applications using a BDI platform may be higher than 10%. However even allowing for these factors, it ...
... rather than a lack of intelligent agent[s]”. In addition, they note that some applications used more than one platform, and for some applications the information was not available, so the number of applications using a BDI platform may be higher than 10%. However even allowing for these factors, it ...
Reorganisation and Self-organisation in Multi
... In the second column, we consider the cases where agents have some representation of the organisation in which they are executing. In case (b), each agent has an internal and local representation of cooperation patterns which it follows when deciding what to do (e.g. social networks for coalition fo ...
... In the second column, we consider the cases where agents have some representation of the organisation in which they are executing. In case (b), each agent has an internal and local representation of cooperation patterns which it follows when deciding what to do (e.g. social networks for coalition fo ...
Probabilistic Sense Sentiment Similarity through Hidden Emotions
... case, the correlated words can inherit the properties of each other. For example, if wi does not occur in a document or rating involving another word (i.e., wj), the word wi can still be indirectly associated with the document or rating through the word wj. However, the distribution of the opinion w ...
... case, the correlated words can inherit the properties of each other. For example, if wi does not occur in a document or rating involving another word (i.e., wj), the word wi can still be indirectly associated with the document or rating through the word wj. However, the distribution of the opinion w ...
The Liability Problem for Autonomous Artificial Agents
... correlate– responsibility. In order for society to benefit from advances in AI technology, it will be necessary to develop regulatory policies which manage the risk and liability of deploying systems with increasingly autonomous capabilities. However, current approaches to liability have difficultie ...
... correlate– responsibility. In order for society to benefit from advances in AI technology, it will be necessary to develop regulatory policies which manage the risk and liability of deploying systems with increasingly autonomous capabilities. However, current approaches to liability have difficultie ...
Conflict-Based Search For Optimal Multi
... called the increasing cost tree (ICT). Each node in this tree is associated with a vector of costs, one per individual agent. At the low-level it performs a goal test on the high-level ICT nodes. Given the cost-per-agent vector it searches over combinations of single-agents paths, each with its cost ...
... called the increasing cost tree (ICT). Each node in this tree is associated with a vector of costs, one per individual agent. At the low-level it performs a goal test on the high-level ICT nodes. Given the cost-per-agent vector it searches over combinations of single-agents paths, each with its cost ...
The Liability Problem for Autonomous Artificial Agents
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...
FraMoTEC: A Framework for Modular Task-Environment
... methods have fundamental problems. The Turing Test2 was proposed by Alan Turing in 1950 and was the first proposal for how to evaluate intelligence in a machine [Turing, 1950]. Unfortunately, the machines most likely to come close to passing the Turing test do not come close to being intelligent. Pa ...
... methods have fundamental problems. The Turing Test2 was proposed by Alan Turing in 1950 and was the first proposal for how to evaluate intelligence in a machine [Turing, 1950]. Unfortunately, the machines most likely to come close to passing the Turing test do not come close to being intelligent. Pa ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
... own models of agents and how they have changed over time, to the field of AI, and, finally, I shall apply it to AAAI, the organization. Thus, we can imagine each of these concepts, including the field of AI and AAAI, as agents acting in an environment. An agent in an active environment changes that ...
... own models of agents and how they have changed over time, to the field of AI, and, finally, I shall apply it to AAAI, the organization. Thus, we can imagine each of these concepts, including the field of AI and AAAI, as agents acting in an environment. An agent in an active environment changes that ...
Research Article An Emotional Agent Model Based on Granular
... The granular computing theory mainly regards the relationship data base as the study subject; normally we define the relationship database to be an information system abstractly. One information system S is a quadruple: S U, R C ∪ D, V, f, among them, U {x1 , . . . , xn } is a limited subjec ...
... The granular computing theory mainly regards the relationship data base as the study subject; normally we define the relationship database to be an information system abstractly. One information system S is a quadruple: S U, R C ∪ D, V, f, among them, U {x1 , . . . , xn } is a limited subjec ...