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Minsky, M. The Society of Mind. Simon and Schuster, New York, 1986.

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On Learning To Coordinate: Random Bits Help.. - Case, Jain..   (Correct)

....this is not the case, and that no such characterization holds in the case of learning to coordinate A few random bits make a big di erence in learning to coordinate. One wonders, then, in conceiving the brain and its environment as a collection of coordinators working together (somewhat as in [10]) for tasks such as muscle movement and speech, if random bits may need to be employed to achieve learning to coordinate. Corollary 1 shows that, for probabilities p q, there are classes C of deterministic algorithmic coordinators, such that some probabilistic algorithmic coordinator PM learns ....

M. Minsky. The Society of Mind. Simon and Schuster, NY, 1986.


Goal-Driven Learning in Multistrategy Reasoning and Learning .. - Ram, Cox, Narayanan (1991)   (Correct)

....Thus formulating learning goals, asking questions, focussing attention, and pursuing learning actions are essential components of our learning model. Since the need to learn often arises from a reasoning failure, credit or blame assignment also plays a central role in learning [Hammond, 1989; Minsky, 1985; Ram Cox, 1993; Schank, 1982; Stroulia, Shankar, Goel, Penberthy, 1992; Sussman, 1975; Weintraub, 1991] Experiential learning: Learning is an incremental process of theory formation, theory revision, and conceptual change, which occurs as the reasoner accumulates experience in some task ....

....its own inadequacies and hence to trigger and guide the goal driven learning process. Unlike successful processing where there may or may not be anything to learn, failure situations are guaranteed to provide a potential for learning, otherwise the failure would not have occurred [Hammond, 1989; Minsky, 1985; Schank, 1982; Sussman, 1975] In our model, an unexpected success also counts as a reasoning failure because the reasoner was unable to correctly predict the outcome of the task. If reasoning is modelled as goal directed processing of an input using some knowledge, there 7 is only a limited ....

M. Minsky. The Society of Mind. Simon and Schuster, New York, NY, 1985.


The Implementation of a Distributed Hierarchical Mind on.. - O'Connor, Humphrys   (Correct)

....to suggest an action, talks to several other Mind servers, and uses an algorithm defined by its author to specify which of the competing minds to obey , given a certain set of criteria. It then returns that mind s suggested action as its own suggestion. The sub minds exist in a society of mind [5], where they cannot actually take actions, but only suggest actions to a higher level in the hope that they will be executed. To the outside world, the Mind AS server appears and functions as just another Mind server. It may itself be used remotely as just one sub mind among many by another, even ....

M. Minsky. The Society of Mind. Simon and Schuster, New York, 1986.


Toward Life-Like Agents: Integrating Tasks, Verbal.. - Caicedo, Monzani..   (Correct)

....is able to simulate such situations, without high computational cost. Finally, an autonomous agent has to select its actions by itself. Research has been driven by people from different areas: ethologists such as Tinbergen [20] and computer scientists such as Brooks [6] Maes [13] and Minsky [14] who lead the school of Behaviour Based Artificial Intelligence (BBAI) Our model, as proposed in the BBAI, does not attempt to build models of the world, and the agent has to reevaluate its course of action on every slot of time. Some points are not directly addressed by the BBAI such as the ....

M. Minsky. The society of mind. Simon and Schuster, 1988.


Verbal Communication: Using Approximate Sound - Propagation To Design   (Correct)

....but only to hear the sentences. Keywords: autonomous human like agents, agents communication language, verbal communication model. 1. INTRODUCTION This papers focuses on the conversation process between human like agents, rather than on Behaviour Based Artificial Intelligence (see Minsky [6] and Wooldridge [7] Previous work on this topic involves agent communication languages (FIPA [4] or KQML [5] for instance) producing dialogs depending on agents parameters (Walker et al.[2] and facial expressions and movements (Cassel et al. [1] For realistic simulations, sound rendering can ....

M. Minsky. The society of mind. Simon and Schuster, New York, 1988.


Object Lesson: discovering and learning to recognize objects - Fitzpatrick   (Correct)

....where they can be easily and accurately maintained. Good examples include deictic representations like those used in Pengi [7] or Toto s representations of space [16] Stay open: Use multiple representations, and be flexible about switching between representations as each run into trouble [17]. This idea overlaps with the notion of encoding common sense [15] and using multiple partial theories rather than searching perhaps vainly for single unified representations. While there are some real conflicts in the various approaches that have been adopted, they also have a common ....

Marvin Minsky. The Society of Mind. Simon and Schuster, New York, 1985.


Needs and Motivations as Mechanisms of Learning and Control of.. - Baldassarre (2000)   (Correct)

....higher need always gets the control, and if the food and water are concentrated in different zones of the space, soon the organism runs out of energy and water. In fact it would search for food, eat a little bit, become thirsty, search for water, drink a little bit, start to be hungry again, etc. Minsky [1986] called this problem dithering . To avoid dithering, a simple solution has been adopted, inspired by Minsky s idea that each need gets control for some minimum amount of time. The perceived water and food needs have a reciprocal inhibition, so that in each moment if one perceived need has the ....

Marvin Minsky. The Society of Mind, Simon and Schuster, New York, 1986.


Observation-based Expectation Generation and Response for . . . - Kline (1999)   (4 citations)  (Correct)

....of reasoning, implying that the observer can quickly determine that a given percept is either 1) possible or 2) impossible in the current context, both of which are problems of equally mind boggling complexity. Regardless, successful organisms seemingly make use of the latter test, which Minsky [Min86] refers to as negative knowledge, on an everyday basis. 19 Should you be able to make a measurement No Yes No accept 1 reject 1 Yes reject 2 accept 2 Figure 2 1: The sensory grounding function rapidly disappears. 2.1.3 Assumptions about the present are not enough In the previous section ....

....planning mechanisms, while exhibiting many of the same capabilities. Examples of these approaches include the Pengi system of Agre and Chapman [AC87] the subsumption architecture of Brooks [Bro86] the spreading activation networks of Maes [Mae90] and the Society of Mind theories of Minsky [Min86]. In an attempt to leverage the advantages of both approaches, some hybrid systems like that of Firby [Fir87] have used a planner to make high level behavioral decisions while using a reactive system for low level control during behavior execution. Inspired by ethological theories of behavior, ....

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Marvin Minsky. The Society of Mind. Simon and Schuster, New York, 1986.


Thesis Proposal: Effective Knowledge Acquisition - Version 1.0 - Chklovski (2001)   (Correct)

....at the data and propose questions, passing them to a set of modules that combine and lter the questions, passing them to the output. We will call the modules that propose questions generators and modules that 19 combine and lter questions critics (the term used by Minsky in the Society of Mind [37]) We feel that the architectural point of not trying to generate perfect questions but rather employing a generate and lter architecture is an important contribution of this work, since it decomposes the process of producing good questions into simpler, manageable steps. Sections 4.6 and 4.7 ....

M. Minsky. The Society of Mind. Simon and Schuster, New York, 1986.


Hermeneutics: From Textual Explication to Computer.. - Mallery, Hurwitz, Duffy (1986)   (Correct)

....order componcnl that is used in turn to reconstruct and replace the lower order component. I ,ootstrapping has been introduced in tile design of certain knowledge bltscs (I,cnat. 1982, 1983: Haase, 1986) and in AI oriented theories of cognitive development (Piagct. 1952. 1970: Dreschcr, 1986: Minsky, 1986), and should be distinguished fi om hierarchical layering in systems which do not include the su angc loop of replacing the bootstrap component. The similarity of the hcrmencutic circle and bootstrapping suggest, the possibility of an important contributk)n from hcrmcncutics to AI architectures ....

....and resoume limitcd reasoning grounded in common sense, stereotype based reasoning (Winograd, 1980: 220, 235) resonates with recent work on analogy (Winston 1980: Carbonell, 1983: Winston, 1984: ch. 12) prccedcntial reasoning (Alker, Bennett, MelTord, 1980) and metaphor (Carbonell, 1982: Minsky, 1986). At its core, KRL also incorporates a notion o1 bootstrapping similar to the one found in the various hermeneutic traditions, particularly in the works of Hcidegger trod Gadamer. 16. Prior (1967) provides a concise overview of the Correspondence Theory of Truth, which holds that the structure ....

M. Minsky, The Society of Mind, Simon and Schuster, New York, 1986.


A Framework for Microworld-style Construction Kits - Strohecker, Slaughter (2000)   (Correct)

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Minsky, M. The Society of Mind. Simon and Schuster, New York, 1986.


Book Review - David Chapman Vision   (Correct)

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M. Minsky. The Society of Mind. Simon and Schuster, 1986.


Kits for Learning and a Kit for Kitmaking - Strohecker, Slaughter (2000)   (Correct)

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Minsky, M. The Society of Mind. Simon and Schuster, New York, 1986.


Reactive Robots and Amnesics: A Comparative Study in.. - Mukerjee, Mali (1999)   (Correct)

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M. L. Minsky, The society of mind, Simon and Schuster, 1986.


Autonomous Characters in Virtual Environments: The technologies.. - Wood (2004)   (Correct)

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Marvin Minsky, Society of mind, Simon and Schuster, 1988.


Autonomous Characters in Virtual Environments: The technologies.. - Wood (2004)   (Correct)

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Marvin Minsky, Society of mind, Simon and Schuster, 1988.


Emotion-triggered Learning for Autonomous Robots - Sandra Clara Gadanho   (7 citations)  (Correct)

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M. Minsky. The Society of Mind. Simon and Schuster, New York, 1986.


SimMarket: Multiagent-Based Customer Simulation and.. - Schwaiger, Stahmer (2003)   (Correct)

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Minsky, M.: The Society of Mind. Simon and Schuster (Touchstone), 1986.


A Framework for Answering Queries Using Multiple - Representation And Inference   (Correct)

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Marvin Minsky. The Society of Mind. Simon and Schuster, New York, New York, 1986.


A System for Incremental Learning Based on Algorithmic Probability - Solomonoff (1989)   (4 citations)  (Correct)

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Minsky, L., The Society of Mind, Simon and Schuster, 1986.


Examining the Society of Mind - Singh (2004)   (Correct)

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Minsky, M.: The Society of Mind. Simon and Schuster, New York, 1986.


A Framework for Microworld-style Construction Kits - Strohecker, Slaughter (2000)   (Correct)

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Minsky, M. The Society of Mind. Simon and Schuster, New York, 1986.


A Note About the Semantics of Delegation - Crispo And Christianson (1999)   (1 citation)  (Correct)

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M. Minsky. The Society of Mind. New York, NY; Simon and Schuster., 1985.


The Implementation of a Distributed Hierarchical Mind on.. - O'Connor, Humphrys   (Correct)

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M. Minsky. The Society of Mind. Simon and Schuster, New York, 1986.


Integrating Behavioural Animation Techniques - Monzani, Caicedo, Thalmann (2001)   (1 citation)  (Correct)

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M. Minsky. The society of mind. Simon and Schuster, 1988.

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