Artificial Intelligence
... Learning Algorithm Rosenblatt (1958) devised a learning algorithm for artificial neurons ...
... Learning Algorithm Rosenblatt (1958) devised a learning algorithm for artificial neurons ...
CAUSATION AND EFFECTUATION: TOWARD A THEORETICAL
... Definition; process of causation and effectuation: ‘Causation processes take a particular effect as given and focus on selecting between means to create that effect. Effectuation processes take a set of means as given and focus on selecting between possible effects that can be created with that set ...
... Definition; process of causation and effectuation: ‘Causation processes take a particular effect as given and focus on selecting between means to create that effect. Effectuation processes take a set of means as given and focus on selecting between possible effects that can be created with that set ...
Dynamic Potential-Based Reward Shaping
... Unlike single-agent reinforcement learning where the goal is to maximise the individual’s reward, when multiple self motivated agents are deployed not all agents can always receive their maximum reward. Instead some compromise must be made, typically the system is designed aiming to converge to a Na ...
... Unlike single-agent reinforcement learning where the goal is to maximise the individual’s reward, when multiple self motivated agents are deployed not all agents can always receive their maximum reward. Instead some compromise must be made, typically the system is designed aiming to converge to a Na ...
Design of Collaborative Information Agents
... improves skill’ for which we have to explicitly express a comparison between different histories. This requires a form of temporal logic language which is more expressive than those allowing to model at each time point only one history. An example of such a more expressive formal language in which d ...
... improves skill’ for which we have to explicitly express a comparison between different histories. This requires a form of temporal logic language which is more expressive than those allowing to model at each time point only one history. An example of such a more expressive formal language in which d ...
1 Throwing out the Tacit Rule Book: Learning and Practices Stephen
... speak, the training history. Like paths from one point in space to another, the connections in a net that produce the “same” competency may be different in structure. The implication of this that bears on the theory of social practices or the idea of shared practices is that two individuals with an ...
... speak, the training history. Like paths from one point in space to another, the connections in a net that produce the “same” competency may be different in structure. The implication of this that bears on the theory of social practices or the idea of shared practices is that two individuals with an ...
cognitive systems
... assisting him in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational learning theory problem (ref. Wikipedia) • Affect refers to the experience of feeling or emot ...
... assisting him in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational learning theory problem (ref. Wikipedia) • Affect refers to the experience of feeling or emot ...
Psychology Lecture
... PSYCHOLOGY LECTURE/LAB PAIRS Psychology majors are required to complete an upper-level lab course prior to graduation. The following lists the available upper-level lab courses and the required prerequisite classes for enrollment into the lab. None of the labs are offered during summer. PLEASE NOTE: ...
... PSYCHOLOGY LECTURE/LAB PAIRS Psychology majors are required to complete an upper-level lab course prior to graduation. The following lists the available upper-level lab courses and the required prerequisite classes for enrollment into the lab. None of the labs are offered during summer. PLEASE NOTE: ...
Enactive Artificial Intelligence
... by these authors, cannot account for the property of intentional agency. And without this property there is no sense in saying that these systems know what they are doing; they do not have any understanding of their situation. Thus, to put it slightly differently, all these arguments are variations ...
... by these authors, cannot account for the property of intentional agency. And without this property there is no sense in saying that these systems know what they are doing; they do not have any understanding of their situation. Thus, to put it slightly differently, all these arguments are variations ...
Creating Autonomous Adaptive Agents in a Real-Time First
... only probability equations to determine the next action instead of writing and maintaining scripts. However, the parameters defined are all based on heuristics or experiences, which often involve human bias because different people may have different cognitions and judgments for different behaviors. ...
... only probability equations to determine the next action instead of writing and maintaining scripts. However, the parameters defined are all based on heuristics or experiences, which often involve human bias because different people may have different cognitions and judgments for different behaviors. ...
Rodolphe Gouin - Hal-SHS
... heuristics and other psychological explanations are based on conjectures. Nobody has never seen any of them. They are only inferred from the results they pretend to explain. These theories just provide us with circular explanations. According to Boudon, as far as social sciences are concerned, real ...
... heuristics and other psychological explanations are based on conjectures. Nobody has never seen any of them. They are only inferred from the results they pretend to explain. These theories just provide us with circular explanations. According to Boudon, as far as social sciences are concerned, real ...
The Nature of the Social Agent - Digital Collections
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
... form to this diversity, while still encompassing it all. Our attempt is outlined in Tables 1 and 2. It is an analysis that consists of two sequences. In the first sequence, we start with a maximally capable agent and successively restrict its architecture4, i.e., its information processing capabilit ...
Word - Egodeath.com
... Bringing These Ideas Back to Tabletop Downward Transfer of Lessons from the Big Domain to the Tiny Domain Crude Mirrorings, in Tabletop, of Some Tricky Ob-Platte Puzzles Other Tricky Tabletop Problems and Mechanisms Tailor-Made to Handle Them Concluding Words 9a. The Knotty Problem of Evaluating Res ...
... Bringing These Ideas Back to Tabletop Downward Transfer of Lessons from the Big Domain to the Tiny Domain Crude Mirrorings, in Tabletop, of Some Tricky Ob-Platte Puzzles Other Tricky Tabletop Problems and Mechanisms Tailor-Made to Handle Them Concluding Words 9a. The Knotty Problem of Evaluating Res ...
Biological Imitation
... o Can say that secondary representations are intrinsic to imitation: that the basis of secondary representation is the ability to coordinate multiple models, which represent different situations. ...
... o Can say that secondary representations are intrinsic to imitation: that the basis of secondary representation is the ability to coordinate multiple models, which represent different situations. ...
all publications as Word document
... International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Cambridge, MA: MIT Press, 2014, New York, USA, pp.1-8. Pugh, JK, Soltoggio, A, Stanley, KO (2014) Real-time Hebbian Learning from Autoencoder Features for Control Tasks. In Fourteenth International Conference on ...
... International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Cambridge, MA: MIT Press, 2014, New York, USA, pp.1-8. Pugh, JK, Soltoggio, A, Stanley, KO (2014) Real-time Hebbian Learning from Autoencoder Features for Control Tasks. In Fourteenth International Conference on ...
CptS 440 / 540 Artificial Intelligence
... – The individual is just part of the overall system, which does understand Chinese ...
... – The individual is just part of the overall system, which does understand Chinese ...
Artificial Cognitive Systems
... Laird, J.E., Newell, A., Rosenbloom, P.S.: Soar: an architecture for general intelligence. Artificial Intelligence 33, 1–64 (1987) Rosenbloom, P., Laird, J., Newell, A. (eds.): The Soar Papers: Research on Integrated Intelligence. MIT Press, Cambridge (1993) Lehman, J.F., Laird, J.E., Rosenbloom, P. ...
... Laird, J.E., Newell, A., Rosenbloom, P.S.: Soar: an architecture for general intelligence. Artificial Intelligence 33, 1–64 (1987) Rosenbloom, P., Laird, J., Newell, A. (eds.): The Soar Papers: Research on Integrated Intelligence. MIT Press, Cambridge (1993) Lehman, J.F., Laird, J.E., Rosenbloom, P. ...
Chap1&2
... • Loebner prize competition is modern version of Turing Test (The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like.) – Example: Alice, Loebner prize winner for 2000 and 2001 ...
... • Loebner prize competition is modern version of Turing Test (The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like.) – Example: Alice, Loebner prize winner for 2000 and 2001 ...
subjective beings with mental states
... The importance of perspective: the 1st, 2nd, and 3rd person Science usually works from a 3rd person perspective: this means that researchers adopt an objective point of view, seeing all evidence as a physical object. Recently, scientists studying human consciousness have argued for using a 1st perso ...
... The importance of perspective: the 1st, 2nd, and 3rd person Science usually works from a 3rd person perspective: this means that researchers adopt an objective point of view, seeing all evidence as a physical object. Recently, scientists studying human consciousness have argued for using a 1st perso ...
Symbol Acquisition for Probabilistic High
... resulting symbols are sufficiently well defined that an agent can gather labeled training data by executing the options and observing the results. In principle, this enables the agent to acquire its own symbolic representation solely through interaction with the environment. However, the resulting l ...
... resulting symbols are sufficiently well defined that an agent can gather labeled training data by executing the options and observing the results. In principle, this enables the agent to acquire its own symbolic representation solely through interaction with the environment. However, the resulting l ...
deep variational bayes filters: unsupervised learning of state space
... posterior inference. There have been efforts to learn such system dynamics, cf. Ghahramani & Hinton (1996); Honkela et al. (2010) based on the expectation maximization (EM) algorithm or Valpola & Karhunen (2002), which uses neural networks. However, these algorithms are not applicable in cases ...
... posterior inference. There have been efforts to learn such system dynamics, cf. Ghahramani & Hinton (1996); Honkela et al. (2010) based on the expectation maximization (EM) algorithm or Valpola & Karhunen (2002), which uses neural networks. However, these algorithms are not applicable in cases ...
Agents - computational logic
... detected events - so actively monitors state of its environment • Autonomous: i.e. operates without the direct intervention of humans or other agents, with independent control over its actions and internal state Fariba Sadri - ICCL 08 Introduction ...
... detected events - so actively monitors state of its environment • Autonomous: i.e. operates without the direct intervention of humans or other agents, with independent control over its actions and internal state Fariba Sadri - ICCL 08 Introduction ...
egpai 2016 - ECAI 2016
... and is mainly a test of humanness. The machine intelligence quotient (MIQ) using fuzzy integrals was presented in [1] in 2002. However, determining a universal intelligence quotient for ranking artificial systems is not very practical and is almost unmeasurable due to the vast non-uniformity in the ...
... and is mainly a test of humanness. The machine intelligence quotient (MIQ) using fuzzy integrals was presented in [1] in 2002. However, determining a universal intelligence quotient for ranking artificial systems is not very practical and is almost unmeasurable due to the vast non-uniformity in the ...
PDF file
... such as growing a network from small to large [36], and the nonstationarity of the development process [35]. The term “connectionist” has been misleading, diverting attention to only network styles of computation that do not address how the internal representations emerge without human programmer’s ...
... such as growing a network from small to large [36], and the nonstationarity of the development process [35]. The term “connectionist” has been misleading, diverting attention to only network styles of computation that do not address how the internal representations emerge without human programmer’s ...
Contextual Reasoning in Concept Spaces - CEUR
... A point in a given dimension space is a sub-symbolic representation of the state an agent perceives some part of the world to be in. The range of values of the various dimensions of the space and their interdependence re ects the agent's systematic understanding of her surroundings. The way this a ...
... A point in a given dimension space is a sub-symbolic representation of the state an agent perceives some part of the world to be in. The range of values of the various dimensions of the space and their interdependence re ects the agent's systematic understanding of her surroundings. The way this a ...
Multi agent systems simulator in Common Lisp
... This approach is based on the laws of thought based on logic. Logic is based on syllogisms by Greek philosopher Aristotle. In the 19th century, logistics defined a precise notation for statements about the world around us and relation between them. However, there are two problems with this approach. ...
... This approach is based on the laws of thought based on logic. Logic is based on syllogisms by Greek philosopher Aristotle. In the 19th century, logistics defined a precise notation for statements about the world around us and relation between them. However, there are two problems with this approach. ...