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A Robotic Ecosystem with Evolvable Minds and Bodies
A Robotic Ecosystem with Evolvable Minds and Bodies

... well as climbing a stairs, and stepping over an obstacle [23]. Gross et al. evolved polymers of modules in a primordial ‘soup’ of modules of different types, the resulting organisms needed to gather energy to reproduce [24]. The co-evolution of body and mind was first investigated by Sims in his sem ...
Personified Systems - Eldacur Technologies
Personified Systems - Eldacur Technologies

... terms with a story from the news of the last few years: The point of sales systems at Target collect all sorts of data each time someone buys an item from one of their stores. This becomes useful information when it is correlated with stock inventories and can allow them to manage those inventories. ...
Chapter 12 Nervous System Review Assignment
Chapter 12 Nervous System Review Assignment

... Which region of the brain is responsible for sorting and relaying information that is received from the various sensory receptors in the body? a. structure A b. structure B c. structure C d. structure D ____ 14. Use the diagram above to answer the next question. Which region of the brain is responsi ...
Improved Memory-Bounded Dynamic Programming for
Improved Memory-Bounded Dynamic Programming for

... problems with horizons larger than 10. One exception is the Memory-Bounded Dynamic Programming (MBDP) algorithm [Seuken and Zilberstein, 2007]. MBDP’s runtime grows polynomially with the horizon, as opposed to the double exponential growth of exact algorithms. As a result, it can solve problems with ...
Hislop Taking Account of Structure
Hislop Taking Account of Structure

... consistent at every turn in avoiding the reification of ‘structure’ through taking care to always make clear that structures are human creations having no existence independence of people. Despite the focus on Bhaskar’s work in much analysis of critical realism, Archer’s 1995 book arguably represent ...
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1 Intelligent Library Systems: Artificial Intelligence Technology and

... progress in the area of intelligent systems, we must have an well-developed understanding of AI technologies, a historical perspective on accomplishments to date, and a realistic perspective of AI as a tool with appropriate and inappropriate uses in light of current constraints. Many authors have pr ...
Intelligent Library Systems: Artificial Intelligence Technology and
Intelligent Library Systems: Artificial Intelligence Technology and

... progress in the area of intelligent systems, we must have an well-developed understanding of AI technologies, a historical perspective on accomplishments to date, and a realistic perspective of AI as a tool with appropriate and inappropriate uses in light of current constraints. Many authors have pr ...
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... an allocentric belief state, which is acquired by cooperative state estimation. For the experiments we will present later, it is important that the variables are controllable and reproducible. Therefore, we have used our ground truth system to determine the positions of the robots with even more acc ...
Complexity Turn
Complexity Turn

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PDF - Foundational Research Institute
PDF - Foundational Research Institute

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Brachet - UB Computer Science and Engineering
Brachet - UB Computer Science and Engineering

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Learning Agents - Cal Poly Computer Science Department
Learning Agents - Cal Poly Computer Science Department

... improving the performance of the overall system reinforcement learning agents try to maximize the amount of reinforcement they receive from the environment or from an instructor isolated reinforcement learning individual agents use reinforcement learning to achieve their own goals no communication o ...
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Fichamento do artigo: PANGARO, Paul. Cybernetics, A Definition
Fichamento do artigo: PANGARO, Paul. Cybernetics, A Definition

... not depend on the indefinite retention of a structural invariant that represents an entity (an idea, image or symbol), but on the functional ability of the system to create, when certain recurrent demands are given, a behavior that satisfies the recurrent demands or that the observer would class as ...
The Importance of Chaos Theory in the Development of Artificial
The Importance of Chaos Theory in the Development of Artificial

... Much of the emphasis of neural network research has been in trying to more accurately simulate brain activity both on the microscopic (neuron) level and the macroscopic (overall brain activity) level. This has led to developments in areas such as Hebbian learning and unsupervised learning, which ma ...
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marked - Kansas State University

...  H is defined over a probability density function p  D contains examples whose frequency of + and - labels indicates p+ and p- for the observed data  The entropy of D relative to c is: H(D)  -p+ logb (p+) - p- logb (p-) ...
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders

... Other works have considered interdependent value auctions in more specific settings. One proposed alternative is to design mechanisms where values are contingent directly on the signals (an approach taken in previous work of Dash et al. [2005]; Ito et al. [2004], among others), in which each agent e ...
Chapter 12
Chapter 12

... intelligent computers that operate in a manner modeled on the functioning of the human brain. See artificial neural networks (CANN) ...
Expert Systems and Knowledge Acquisition
Expert Systems and Knowledge Acquisition

... Selecting a suitable representation for the domain knowledge is one of the first problems encountered when building a KBS. There are some general principles that should guide this representation, though there is a considerable degree of disagreement among specialists in the field. The views presente ...
Exceptionality Research Assignment -TASL-2013
Exceptionality Research Assignment -TASL-2013

... 1. Most definitions of this exceptionality, in the broadest sense, would explain an individual’s difficulty or absolute inability to process language, despite normal intelligence. All variants of this exceptionality are neurological in origin. 2. This exceptionality is generally described as a neuro ...
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...  The main strengths Asia has to become a leader in AI adoption is its vast and emerging talent pool, a freedom from legacy assets and the massive amount of data that is being collected across the region. However, Asia still lags developed markets like the US and the UK in terms of innovation and ha ...
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PTA 150 Day 11 TBI

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Paleolithic public goods games: why human
Paleolithic public goods games: why human

... such behaviors appear in our evolution much before art or symbolism, I contend, implies that human culture and cooperation did not evolve in one step. Consequently, understanding their evolution implies integrating more specific data about the evolution of the brain and behavior in extinct hominins. ...
Cortical activation and synchronization during sentence
Cortical activation and synchronization during sentence

... bring the words of a sentence together into an integrated syntactic and semantic structure (indicated by less-than-normal activation in Broca’s area). These predicted findings of abnormal brain activation in autism during sentence comprehension would converge with the previously reported behavioural ...
The adversarial stochastic shortest path problem with unknown
The adversarial stochastic shortest path problem with unknown

... of the environment. However, in practice, the environment might be very complex, for example, in an inventory management problem, the “world’s economy” may influence the prices at which one can buy or sell items, thus modeling the environment as an MDP would mean that the learner must model the worl ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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