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A Unified Cognitive Architecture for Physical Agents
A Unified Cognitive Architecture for Physical Agents

... In summary, the architecture takes into account a number of widespread beliefs about human cognitive skills. However, it does not explain other important behaviors that we should address in future work, such as limited abilities for parallel execution, the generation and abandonment of top-level goa ...
What does the Turing test really mean? And how many human beings
What does the Turing test really mean? And how many human beings

... the subject of its own thought, have as much diversity of behaviour as a man, do something really new.” Turing still doesn’t think these possible disabilities, which may or may not impair future machines, rule out the notion of intelligent (non-human) machines. He notes that many people haven’t yet ...
Redalyc.Rational versus Intuitive Outcomes of Reasoning with
Redalyc.Rational versus Intuitive Outcomes of Reasoning with

... a) You can take cakes from the table in two ’rounds’: 1. In the first round you can take at most two cakes; 2. In the second round you can take at most one cake. b) If you take Almond cake and Cheesecake in the first round, Brownie will not be available in the second round. (Nothing is known about o ...
Innateness of colour categories is a red herring: insights from
Innateness of colour categories is a red herring: insights from

... Studying empiricism • Procedure – Collect chromatic data. – Extract colour categories. For this we use a clustering algorithm. – Compare extracted categories with each other and with human colour categories. ...
Philosophy and Computing - An Introduction
Philosophy and Computing - An Introduction

... sooner or later our computers may go “vocal”, allowing us to talk and listen to our PC. The possibility in itself is not in question, but have you ever tried to give operating instructions orally to someone who cannot see what he is doing? Or to receive instructions via telephone about where to find ...
Creativity, Cognitive Mechanisms, and Logic
Creativity, Cognitive Mechanisms, and Logic

... aspects of cognition: a successful model of artificial general intelligence should be able to integrate higher and lower types of cognition in one architecture. Besides these possibilities, there is nevertheless an important cognitive ability that seems to be usable as a rather clear feature to dist ...
Philosophy and Computing: An introduction
Philosophy and Computing: An introduction

... sooner or later our computers may go “vocal”, allowing us to talk and listen to our PC. The possibility in itself is not in question, but have you ever tried to give operating instructions orally to someone who cannot see what he is doing? Or to receive instructions via telephone about where to find ...
Philosophy and Computing: An Introduction
Philosophy and Computing: An Introduction

... sooner or later our computers may go “vocal”, allowing us to talk and listen to our PC. The possibility in itself is not in question, but have you ever tried to give operating instructions orally to someone who cannot see what he is doing? Or to receive instructions via telephone about where to find ...
The man behind the curtain: Overcoming skepticism about creative
The man behind the curtain: Overcoming skepticism about creative

... destructive.’ For stage two, items could be selected from two lists of five, making 25 possible analogies in the pool. Since we did not actually construct a creative analogy generator, the only way to provide full interactivity was to utilize a human operator using a networked device to ‘respond’ to ...
CV - Department of Artificial Intelligence
CV - Department of Artificial Intelligence

... programming and by using logic as a lingua franca for courses in which it is less common (for example in knowledge management and in software engineering). • I have been one of the key players in developing our teaching of knowledge based systems, both in the formative undergraduate years and in the ...
Survey on Heuristic Search Techniques to Solve Artificial
Survey on Heuristic Search Techniques to Solve Artificial

... minimization problem which is also called as binary quadratic program (BQP). To find solution to the BQP problem many heuristic solutions are been proposed which includes local search, simulated annealing, genetic algorithms and tabu search (TS). Among which TS method is an effective and efficient h ...
KNOWLEDGE, REPRESENTATION, AND RATIONAL SELF
KNOWLEDGE, REPRESENTATION, AND RATIONAL SELF

... of agents by incorporating descriptions of resources into the description of states. That is, instead of describing what implicit beliefs follow from explicit beliefs, these logics describe which implicit beliefs follow from given explicit beliefs and given quantities of resources, for example, in t ...
Comprehensive Evaluating Company HRM Performance Based on BP Neural Network Algorithm
Comprehensive Evaluating Company HRM Performance Based on BP Neural Network Algorithm

... resources management activities, and compare with the past organization's performance, the similar organizations' performance and the organizational goals. James Harrington, a manager, once said:" The measurement is the key. If you can not measure it, you can not control it. If you can not control i ...
AI Magazine - Winter 2014
AI Magazine - Winter 2014

... automation for space exploration is well known. Stringent communications constraints are present, including limited communication windows, long communication latencies, and limited bandwidth. Additionally, limited access and availability of operators, limited crew availability, system complexity, an ...
Artificial Intelligence Modelling social action for AI agents
Artificial Intelligence Modelling social action for AI agents

... action is bypassed. The real foundation of all sociality (cooperation, competition, groups, organization, etc.) is missed: i.e., the individual social action and mind [ 1 11. One cannot reduce or connect action at the collective level to action at the individual level unless one passes through the s ...
Autonomous Units
Autonomous Units

...  Selective reinforcement or reward that the agent attempts to maximize  Internal needs or motivations that the agent has to keep within certain viability zones. Modeling Adaptive Autonomous Agents, Pattie Maes ...
affordance - Aleksandra Derra
affordance - Aleksandra Derra

... environment, the “behavior” is some activity carried out by an agent in the environment, and the “effect” is the result. A single interaction leads to an instance of this relation. Multiple interactions can be generalized such that the agent becomes able to predict the effects of its behaviors on di ...
Springer CC Volume proposal
Springer CC Volume proposal

... Tony Veale received his Ph.D. in Computer Science, on the subject of Creative Language Processing, in Trinity College, Dublin in 1996. Since then, he has divided his career between academia and industry. In the latter, he has developed text-understanding and machine translation systems for Hitachi ( ...
Soarian™ User Interface
Soarian™ User Interface

... • Differences in interaction between anthropomorphic and non-anthropomorphic robots • Children with autism improve their social interaction skills and imitation skills when interacting with robots • https://www.youtube.com/watch?v=Fp8kndY5E84 • Some studies find that humanoid robots are overwhelming ...
Revisiting Turing and His Test
Revisiting Turing and His Test

... systems that behave robustly in a complex changing environment - rather than in virtual or controlled environments. The more complex and changing the environment, however, the harder it becomes to produce tests that allow any kind of benchmarking. Intelligence testing is thus an area where philosoph ...
OPERATING IN THE ROBOTIC MATRIX TRACY MCINTYRE and
OPERATING IN THE ROBOTIC MATRIX TRACY MCINTYRE and

... automation will ultimately result in significant unemployment as machines begin to match and exceed the capability of workers to perform most routine and repetitive jobs (Ford, 2009). It is a conundrum as to whether robotics can accomplish our goals of improving our lives with efficiency. They perfo ...
(final)
(final)

... user to query the expert system about how it reached a particular conclusion . They can show the sequence of the rules they applied to reach a solution, but cannot relate accumulated, heuristic knowledge to any deeper understanding of the problem domain. Enable the user to ask the expert system how ...
Towards Conscious-like Behavior in Computer Game Characters
Towards Conscious-like Behavior in Computer Game Characters

... We believe that one of the main reasons why current AI bots are not able to perform as humans is because their control systems do not possess sufficient ‘cognitive power’. That is to say, they are not able to integrate the whole set of cognitive skills that are usually identified in healthy human ad ...
A Normal Form for Classical Planning Tasks
A Normal Form for Classical Planning Tasks

... 2007; Zhang, Wang, and Xie 2014). There exists a well-known transformation to achieve such a “normal form”, but it can increase the size of the task exponentially. We introduce an alternative transformation that only increases the task size by a small constant factor. We also analyze the influence t ...
PUFF: An Expert System for Interpretation of
PUFF: An Expert System for Interpretation of

... (1) The int erpretation of pulmonary function tests Is a problem that occurs daily in most hospitals, so a computer program that captures the expertise involved in interpreting these tests, and that can assist in providing interpretations, fills a practical need. (2) The biomedica Iresearchers at Pa ...
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Existential risk from artificial general intelligence

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