Artificial General Intelligence : 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings / edited by Jordi Bieger, Ben Goertzel, Alexey Potapov.

Format:

Book

Contributor:

Bieger, Jordi, editor.

Goertzel, Ben, editor.

Potapov, Alexey, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 9205.

Lecture Notes in Artificial Intelligence ; 9205

Language:

English

Subjects (All):

Artificial intelligence.

Logic, Symbolic and mathematical.

Pattern perception.

Algorithms.

Application software.

Software engineering.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Pattern Recognition.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Software Engineering.

Local Subjects:

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Pattern Recognition.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Software Engineering.

Physical Description:

1 online resource (XII, 416 pages) : 92 illustrations.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 8th International Conference on Artificial General Intelligence, AGI 2015, held in Berlin, Germany in July 2015. The 41 papers were carefully reviewed and selected from 72 submissions. The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of "artificial intelligence". The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense.

Contents:

Modeling Motivation in MicroPsi 2

Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages

Scene Based Reasoning

Anchoring Knowledge in Interaction: Towards a harmonic subsymbolic/symbolic framework and architecture of computational cognition

Safe Baby AGI

Observation, Communication and Intelligence in Agent-Based Systems

Reffective Variants of Solomono Induction and AIXI

Are there Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms?

Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition

Stochastic Tasks: Difficulty and Levin Search

Instrumental Properties of Social Testbeds

Towards Human-Level Inductive Functional Programming

Anytime Bounded Rationality

Ultimate Intelligence Part I: Physical Completeness and Objectivity of Induction

Towards Emotion in Sigma: From Appraisal to Attention

Inferring human values for safe AGI design

Two Attempts to Formalize Counter possible Reasoning in Deterministic Settings

Bounded Cognitive Resources and Arbitrary Domains

Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning

Towards Flexible Task Environments for Comprehensive Evaluation of Artificial Intelligent Systems and Automatic Learners

Assumptions of Decision-Making Models in AGI

Issues in Temporal and Causal Inference

The Space of Possible Mind Designs.-A Definition of Happiness for Reinforcement Learning Agents

Expression Graphs: Unifying Factor Graphs and Sum-Product Neworks

Toward tractable universal induction through recursive program learning

How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain

C-tests revisited: back and forth with complexity

A New View on Grid Cells Beyond the Cognitive Map Hypothesis

Programming languages and artificial general intelligence

From Specialized Syntax to General Logic: The Case of Comparatives

Decision-Making During Language Understanding by Intelligent Agents

Plan Recovery in Reactive HTNs Using Symbolic Planning

Optimization Framework with Minimum Description Length Principle for Probabilistic Programming

Can Machines Learn Logics?

Comparing Computer Models Solving Number Series Problems

Emotional Concept Development

The Cyber-Physical System Approach towards Artificial General Intelligence: The Problem of Verification

Analysis of Types of Self-Improving Software

On the Limits of Recursively Self-Improving AGI

Godel Agents in a Scalable Synchronous Agent Framework.

Other Format:

Printed edition:

ISBN:

978-3-319-21365-1

9783319213651

Access Restriction:

Restricted for use by site license.